The Wearable Technologies Laboratory was founded by Dr Daniel Roggen in January 2014 within the Sensor Technology Research Centre, carrying on several of the research activities that he initiated while previously at ETH Zurich.

Our research activities lie in computational behaviour analytics in wearable, mobile and ubiquitous computing: the use of machine learning techniques, miniature sensors, and online data sources to recognize and understand human behaviours, activities, and context, including social interactions and cognitive-affective states. We emphasize novel sensing modalities and embedding this intelligence in miniature devices. Our long term vision are systems that follow a lifelong adaptive paradigm for use in open-ended scenarios.

The Wearable Technologies Lab investigates:

• Novel wearable technologies including sensors and actuators.
• Hardware and software co-design of algorithms and computing hardware.
• Activity and context recognition algorithms.
• Novel interaction paradigms with wearable and mobile devices.
• Applications in various domains: sports, healthcare, industrial, etc.

Research projects

 Publications

Additional publications on Google Scholar

2024

• Wang, L., Ciliberto, M., Gjoreski, H., Lago, P., Murao, K., Okita, T., & Roggen, D. (2024). Summary of SHL Challenge 2024: Motion Sensor-based Locomotion and Transportation Mode Recognition in Missing Data Scenarios. In UbiComp Companion 2024 - Companion of the 2024 ACM International Joint Conference on Pervasive and Ubiquitous Computing (pp. 555-562). doi:10.1145/3675094.3678456
  Conference publication. View online.
• Mirelman, A., Volkov, J., Salomon, A., Gazit, E., Nieuwboer, A., Rochester, L., . . . Hausdorff, J. M. (2024). Digital Mobility Measures: A Window into Real-World Severity and Progression of Parkinson's Disease. Movement Disorders, 39(2), 328-338. doi:10.1002/mds.29689
  Article. View online.
• Scotland, A., Cosne, G., Juraver, A., Karatsidis, A., Penalver-Andres, J., Bartholome, E., . . . Belachew, S. (2024). DISPEL: A Python Framework for Developing Measures From Digital Health Technologies. IEEE Open Journal of Engineering in Medicine and Biology, 5, 494-497. doi:10.1109/OJEMB.2024.3402531
  Article. View online.

2023

• Kumar, N. J., Johnson, A., Cobden, R., Valsamakis, G., Gristock, J. G., Pouryazdan, A., . . . Münzenrieder, N. (2023, October 29). A flexible inductive sensor for non-invasive arterial pulse measurement. In Proceedings of IEEE Sensors Vol. 00 (pp. 1-4). Vienna, Austria: IEEE. doi:10.1109/SENSORS56945.2023.10324884
  Conference publication. View on figshare.
• Khaked, A. A., Oishi, N., Roggen, D., & Lago, P. (2023). Investigating the Effect of Orientation Variability in Deep Learning-based Human Activity Recognition. In UbiComp/ISWC 2023 Adjunct - Adjunct Proceedings of the 2023 ACM International Joint Conference on Pervasive and Ubiquitous Computing and the 2023 ACM International Symposium on Wearable Computing (pp. 480-485). doi:10.1145/3594739.3610742
  Conference publication. View online.
• Wang, L., Gjoreski, H., Ciliberto, M., Lago, P., Murao, K., Okita, T., & Roggen, D. (2023). Summary of SHL Challenge 2023: Recognizing Locomotion and Transportation Mode from GPS and Motion Sensors. In UbiComp/ISWC 2023 Adjunct - Adjunct Proceedings of the 2023 ACM International Joint Conference on Pervasive and Ubiquitous Computing and the 2023 ACM International Symposium on Wearable Computing (pp. 575-585). doi:10.1145/3594739.3610758
  Conference publication. View online.
• Oishi, N., Lago, P., Birch, P., & Roggen, D. (2023). Hierarchical feature recovery for robust human activity recognition in body sensor networks. In Proceedings of the 2022 ACM International Joint Conference on Pervasive and Ubiquitous Computing (UbiComp/ISWC '22 Adjunct) (pp. pages). Cambridge: ACM. doi:10.1145/3544793.3560392
  Conference publication. View on figshare.
• Garcia-Garcia, L., Johnson, A., Kreitmair, P. M., Lugoda, D. P. V., Kermani, A. P. Y. P., Roggen, D., & Munzenrieder, N. (2023). Biocompatible gel-free coconut oil and carbon black electrodes for ECG and respiration measurements. IEEE Sensors Journal, 23(20), 23980-23987. doi:10.1109/JSEN.2023.3249159
  Article. View on figshare.
• Kumar, N. J., Johnson, A., Roggen, D., & Münzenrieder, N. (2023). A Flexible Capacitance Strain Sensor with Stitched Contact Terminals. Advanced Materials Technologies, 8(2). doi:10.1002/admt.202200410
  Article. View online.
• Cobden, R., Zeeshan, M., Roggen, D., Prance, R. J., & Pouryazdan, A. (2023). Characterisation of Wearable Electric-Field Communication Link for BAN Multimedia Applications. In 2023 IEEE International Conference on Pervasive Computing and Communications, PerCom 2023 (pp. 262-269). doi:10.1109/PERCOM56429.2023.10099133
  Conference publication. View online.
• Oishi, N., Roggen, D., Birch, P., & Lago, P. (2023). Learning Using Privileged Information for Wearable-based Human Activity Recognition. In 2023 IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events, PerCom Workshops 2023 (pp. 233-234). doi:10.1109/PerComWorkshops56833.2023.10150397
  Conference publication. View online.
• Kumar, N. J., Johnson, A., Valsamakis, G., Gristock, J. G., Roggen, D., & Münzenrieder, N. (2023). A Comparison of High Dielectric Fillers for a Stitchable Flexible Capacitive Sensor. In FLEPS 2023 - IEEE International Conference on Flexible and Printable Sensors and Systems, Proceedings. doi:10.1109/FLEPS57599.2023.10220416
  Conference publication. View online.

2022

• Pellatt, L., & Roggen, D. (n.d.). Speeding up deep neural architecture search for wearable activity recognition with early prediction of converged performance. Frontiers in Computer Science, 4, a914330 1-17. doi:10.3389/fcomp.2022.914330
  Article. View on figshare.
• Gunthermann, L. K., Pellatt, L., & Roggen, D. (2022). Slow feature preprocessing in deep neural networks for wearable sensor-based locomotion recognition. In 2022 IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events, PerCom Workshops 2022 (pp. 58-61). Pisa, Italy: IEEE. doi:10.1109/PerComWorkshops53856.2022.9767511
  Conference publication. View on figshare.
• Kammoun, A., Slama, R., Tabia, H., Ouni, T., & Abid, M. (n.d.). Generative Adversarial Networks for face generation: A survey. ACM Computing Surveys. doi:10.1145/1122445.1122456
  Article. View online.
• Roggen, D., Vega, K., Kao, C. H. L., Nachtigall, T., Ward, J. A., & Beigl, M. (2022). The 25th Edition of the International Symposium on Wearable Computers. IEEE Pervasive Computing, 21(2), 105-111. doi:10.1109/MPRV.2022.3162900
  Article. View online.
• Zeeshan, M., Pouryazdan, A., Cobden, R., Wang, S., Prance, R. J., & Roggen, D. (2022). Electric Field Short-range Over-the-air Communication for Wearable and IoT Applications with Off-the-shelf Microcontrollers. In Proceedings - 2022 IEEE 23rd International Symposium on a World of Wireless, Mobile and Multimedia Networks, WoWMoM 2022 (pp. 251-260). doi:10.1109/WoWMoM54355.2022.00044
  Conference publication. View online.
• Roggen, D., Cobden, R., Pouryazdan, A., & Zeeshan, M. (2022). Wearable FPGA Platform for Accelerated DSP and AI Applications. In 2022 IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events, PerCom Workshops 2022 (pp. 66-69). doi:10.1109/PerComWorkshops53856.2022.9767398
  Conference publication. View online.
• Pellatt, L., Bock, M., Roggen, D., & Van Laerhoven, K. (2022). A Public Repository to Improve Replicability and Collaboration in Deep Learning for HAR*. In 2022 IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events, PerCom Workshops 2022 (pp. 54-57). doi:10.1109/PerComWorkshops53856.2022.9767436
  Conference publication. View online.
• Ahad, M. A. R., Inoue, S., Roggen, D., & Fujinami, K. (2022). Preface. In Unknown Book (Vol. 291, pp. vii-viii).
  Chapter.
• García-García, L. A., Valsamakis, G., Münzenrieder, N., & Roggen, D. (2022). Lessons Learned in Developing Sensorised Textiles to Capture Body Shapes. In Unknown Book (Vol. 431 LNICST, pp. 365-380). doi:10.1007/978-3-030-99194-4_23
  Chapter. View online.
• Gunthermann, L. K., Wang, L., Simpson, I., Philippides, A., & Roggen, D. (2022). Adversarial learning in accelerometer based transportation and locomotion mode recognition. In Generative adversarial learning: architectures and applications (Vol. 217, pp. 205-232). Cham: Springer. doi:10.1007/978-3-030-91390-8_10
  Chapter. View on figshare.

2021

• Ciliberto, M., Fortes Rey, V., Calatroni, A., Lukowicz, P., & Roggen, D. (2021). Opportunity++: A Multimodal Dataset for Video- and Wearable, Object and Ambient Sensors-Based Human Activity Recognition. Frontiers in Computer Science, 3. doi:10.3389/fcomp.2021.792065
  Article. View online.
• Banos, O., Calatroni, A., Damas, M., Pomares, H., Roggen, D., Rojas, I., & Villalonga, C. (2021). Opportunistic Activity Recognition in IoT Sensor Ecosystems via Multimodal Transfer Learning. Neural Processing Letters, 53(5), 3169-3197. doi:10.1007/s11063-021-10468-z
  Article. View online.
• Pellatt, L., & Roggen, D. (2021, September 21). Fast deep neural architecture search for wearable activity recognition by early prediction of converged performance. In Proceedings of the International Symposium on Wearable Computing 2021 (pp. 1-6). Virtual: ACM. doi:10.1145/3460421.3478813
  Conference publication. View on figshare.
• Garcia-Garcia, L., Valsamakis, G., Kreitmair, P. M., Munzenrieder, N., & Roggen, D. (2021). Inferring complex textile shape from an integrated carbon black-infused ecoflex-based bend and stretch sensor array. In UbiComp '21 conference (pp. 298-303). New York, NY, United States: Association for Computing Machinery. doi:10.1145/3460418.3479347
  Conference publication. View on figshare.
• Oishi, N., Heimler, B., Pellatt, L., Plotnik, M., & Roggen, D. (2021). Detecting Freezing of Gait with earables trained from VR motion capture data. In ISWC '21: 2021 International Symposium on Wearable Computers (pp. 33-37). New York, NY, USA: Association for Computing Machinery. doi:10.1145/3460421.3478821
  Conference publication. View on figshare.
• Wang, L., Gjoreski, H., Ciliberto, M., Lago, P., Murao, K., Okita, T., & Roggen, D. (n.d.). Three-year review of the 2018–2020 SHL challenge on transportation and locomotion mode recognition from mobile sensors. Frontiers in Computer Science, 3, 1-24. doi:10.3389/fcomp.2021.713719
  Article. View on figshare.
• Ciliberto, M., Ponce Cuspinera, L. A., & Roggen, D. (2021). Collecting a Dataset of Gestures for Skill Assessment in the Field: A beach volleyball serves case study. In UbiComp/ISWC 2021 - Adjunct Proceedings of the 2021 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2021 ACM International Symposium on Wearable Computers (pp. 291-297). doi:10.1145/3460418.3479355
  Conference publication. View online.
• Wang, L., Ciliberto, M., Gjoreski, H., Lago, P., Murao, K., Okita, T., & Roggen, D. (2021). Locomotion and Transportation Mode Recognition from GPS and Radio Signals: Summary of SHL Challenge 2021. In UbiComp/ISWC 2021 - Adjunct Proceedings of the 2021 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2021 ACM International Symposium on Wearable Computers (pp. 412-422). doi:10.1145/3460418.3479373
  Conference publication. View online.
• Garcia-Garcia, L., Kreitmair, P. M., Johnson, A., Costa, J., Kermani, A. P. Y. P., Lugoda, P., . . . Munzenrieder, N. (2021). Soft gel-free ECG electrodes based on biocompatible coconut-oil and carbon black. In 2021 IEEE International Conference on Flexible and Printable Sensors and Systems (FLEPS) (pp. 1-4). Manchester, United Kingdom: IEEE. doi:10.1109/FLEPS51544.2021.9469731
  Conference publication. View on figshare.
• Jocys, Z., Kermani, A. P. Y. P., & Roggen, D. (2020). Multimodal fusion of IMUs and EPS body-worn sensors for scratch recognition. In PervasiveHealth '20: Proceedings of the 14th EAI International Conference on Pervasive Computing Technologies for Healthcare (pp. 325-335). New York, NY, United States: Association for Computing Machinery. doi:10.1145/3421937.3421987
  Conference publication. View on figshare.
• Ahad, M. A. R., Inoue, S., Roggen, D., & Fujinami, K. (2021). Preface (Vol. 204). doi:10.1016/S1874-6047(15)00040-2
  Book. View online.

2020

• Gunthermann, L. K., Philippides, A., & Roggen, D. (2021). Improving smartphone based transport mode recognition using generative adversarial networks. In Activity and behavior computing (pp. 63-79). Springer. doi:10.1007/978-981-15-8944-7_5
  Chapter. View on figshare.
• Pellatt, L., Dewar, A., Philippides, A., & Roggen, D. (2020, August 26). Mapping vicon motion tracking to 6-axis IMU data for wearable activity recognition. In Activity and behavior computing (pp. 3-20). Singapore: Springer. doi:10.1007/978-981-15-8944-7_1
  Conference publication. View on figshare.
• Lugoda, D. P. V., Costa, J., Garcia-Garcia, L., Kermani, A. P. Y. P., Jocys, Z., Spina, F., . . . Munzenrieder, N. (2021). Coco stretch: strain sensors based on natural coconut oil and carbon black filled elastomers. Advanced Materials Technologies, 6(2), 2000780 1-9. doi:10.1002/admt.202000780
  Article. View on figshare.
• Garcia-Garcia, L. A., Costa, J. C., Lugoda, P., Roggen, D., & Munzenrieder, N. (2020). Copper wire based electrical contacts for direct interfacing of stretchable sensors. In Proceedings of IEEE Sensors Vol. 2020-October. doi:10.1109/SENSORS47125.2020.9278749
  Conference publication. View online.
• Roggen, D., Vega, K., Kao, C. H. L., Nachtigall, T., Beigl, M., Doryab, A., & Lv, Q. (2020). Foreword to the 25th edition of ISWC. In Proceedings - International Symposium on Wearable Computers, ISWC (pp. vi).
  Conference publication.
• Pellatt, L., & Roggen, D. (2020). CausalBatch: solving complexity/performance tradeoffs for deep convolutional and LSTM networks for wearable activity recognition. In UbiComp-ISWC '20: Adjunct Proceedings of the 2020 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2020 ACM International Symposium on Wearable Computersnternational Symposium on Wearable Computers (pp. 272-277). Virtual Cancun: ACM. doi:10.1145/3410530.3414365
  Conference publication. View on figshare.
• Gunthermann, L. K., Simpson, I., & Roggen, D. (2020). Smartphone location identification and transport mode recognition using an ensemble of generative adversarial networks. In Adjunct Proceedings of the 2020 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2020 ACM International Symposium on Wearable Computers (pp. 311-316). NY, United States: ACM. doi:10.1145/3410530.3414353
  Conference publication. View on figshare.
• Wang, L., Gjoreski, H., Ciliberto, M., Lago, P., Murao, K., Okita, T., & Roggen, D. (2020). Summary of the sussex-huawei locomotion-transportation recognition challenge 2020. In UbiComp/ISWC 2020 Adjunct - Proceedings of the 2020 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2020 ACM International Symposium on Wearable Computers (pp. 351-358). doi:10.1145/3410530.3414341
  Conference publication. View online.
• Roggen, D. (2020). ARM cortex M4-based extensible multimodal wearable platform for sensor research and context sensing from motion & sound. In UbiComp/ISWC 2020 Adjunct - Proceedings of the 2020 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2020 ACM International Symposium on Wearable Computers (pp. 284-289). doi:10.1145/3410530.3414368
  Conference publication. View online.
• Gunthermann, L. K., Philippides, A., & Roggen, D. (2020). Improving smartphone based transport mode recognition using generative adversarial networks. In Smart Innovation, Systems and Technologies (pp. pages). Kitakyushu, Japan: Springer. doi:10.1007/978-981-15-8944-7_5
  Conference publication. View on figshare.
• Lugoda, P., Costa, J. C., Pouryazdan, A., Garcia-Garcia, L. A., Roggen, D., & Munzenrieder, N. (2020). Evaluation of a Pseudo Zero-Potential Flexible Readout Circuit for Resistive Sensor Matrixes. In FLEPS 2020 - IEEE International Conference on Flexible and Printable Sensors and Systems. doi:10.1109/FLEPS49123.2020.9239450
  Conference publication. View online.
• Richoz, S., Wang, L., Birch, P., & Roggen, D. (2020). Transportation mode recognition fusing wearable motion, sound and vision sensors. IEEE Sensors Journal, 20(16), 9314-9328. doi:10.1109/JSEN.2020.2987306
  Article. View on figshare.
• Lugoda, P., Costa, J. C., Oliveira, C., Garcia-Garcia, L. A., Wickramasinghe, S. D., Pouryazdan, A., . . . Münzenrieder, N. (2020). Flexible temperature sensor integration into e-textiles using different industrial yarn fabrication processes. Sensors (Switzerland), 20(1). doi:10.3390/s20010073
  Article. View online.
• Templeman, C., Morales, F. J. O., Ciliberto, M., Symes, A., & Roggen, D. (2020). Lessons from hands-free data entry in flexible cystoscopy with Glass for future smart assistance. In Smart assisted living: toward an open smart-home infrastructure (pp. 63-87). Switzerland: Springer International Publishing. doi:10.1007/978-3-030-25590-9
  Chapter. View on figshare.
• Chen, F., García-Betances, R. I., Chen, L., Cabrera-Umpiérrez, M. F., & Nugent, C. (Eds.) (2020). Smart Assisted Living. Springer International Publishing. doi:10.1007/978-3-030-25590-9
  Book. View online.

2019

• Inoue, S., Roggen, D., Van Laerhoven, K., Nishio, N., Pirttikangas, S., & Kawaguchi, N. (2019). Human activity sensing: corpus and applications. Springer. doi:10.1007/978-3-030-13001-5
  Edited Book. View on figshare.
• Wang, L., Gjoreski, H., Ciliberto, M., Lago, P., Murao, K., Okita, T., & Roggen, D. (2019). Summary of the Sussex-Huawei locomotion-transportation recognition challenge 2019. In UbiComp/ISWC 2019- - Adjunct Proceedings of the 2019 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2019 ACM International Symposium on Wearable Computers (pp. 849-856). doi:10.1145/3341162.3344872
  Conference publication. View online.
• Richoz, S., Perez-Uribe, A., Birch, P., & Roggen, D. (2019). Benchmarking deep classifiers on mobile devices for vision-based transportation recognition. In UbiComp/ISWC 2019- - Adjunct Proceedings of the 2019 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2019 ACM International Symposium on Wearable Computers (pp. 803-807). doi:10.1145/3341162.3344849
  Conference publication. View online.
• Lugoda, D. P. V., Garcia-Garcia, L., Richoz, S., Munzenrieder, N., & Roggen, D. (2019, September 9). ShapeSense3D - textile-sensing and reconstruction of body geometries. In Adjunct Proceedings of the 2019 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2019 ACM International Symposium on Wearable Computers (pp. 133-136). London, UK: ACM. doi:10.1145/3341162.3343846
  Conference publication. View on figshare.
• Ciliberto, M., & Roggen, D. (2019, September 9). WLCSSCuda: a CUDA accelerated template matching method for gesture recognition. In Proceedings of the 2019 International Symposium on Wearable Computers (pp. 32-34). London: Association for Computing Machinery. doi:10.1145/3341163.3347718
  Conference publication. View on figshare.
• Chen, C., Amft, O., Hanke, S., & Roggen, D. (2019). Message from the program chairs. In Proceedings - 2019 IEEE SmartWorld, Ubiquitous Intelligence and Computing, Advanced and Trusted Computing, Scalable Computing and Communications, Internet of People and Smart City Innovation, SmartWorld/UIC/ATC/SCALCOM/IOP/SCI 2019 (pp. lix). doi:10.1109/SmartWorld-UIC-ATC-SCALCOM-IOP-SCI.2019.00019
  Conference publication. View online.
• Wang, L., & Roggen, D. (2019, May 12). Sound-based transportation mode recognition with smartphones. In ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) (pp. 930-934). Brighton, U.K.: IEEE. doi:10.1109/ICASSP.2019.8682917
  Conference publication. View on figshare.
• Costa, J., Spina, F., Lugoda, D. P. V., Garcia-Garcia, L., Roggen, D., & Munzenrieder, N. (n.d.). Flexible sensors—from materials to applications. Technologies, 7(2), 35 1-83. doi:10.3390/technologies7020035
  Article. View on figshare.
• Wang, L., Gjoreski, H., Ciliberto, M., Mekki, S., Valentin, S., & Roggen, D. (2019). Enabling reproducible research in sensor-based transportation mode recognition with the Sussex-Huawei dataset. IEEE Access, 7, 10870-10891. doi:10.1109/ACCESS.2019.2890793
  Article. View on figshare.

2018

• Wang, L., Gjoreski, H., Ciliberto, M., Mekki, S., Stefan, V., & Roggen, D. (2018, October 8). Benchmarking the SHL Recognition Challenge with classical and deep-learning pipelines. In Proceedings of the 2018 ACM International Joint Conference and 2018 International Symposium on Pervasive and Ubiquitous Computing and Wearable Computers (pp. 1626-1635). Singapore: Association for Computing Machinery. doi:10.1145/3267305.3267531
  Conference publication. View on figshare.
• Wang, L., Gjoreski, H., Murao, K., Okita, T., & Roggen, D. (2018, October 8). Summary of the Sussex-Huawei Locomotion-Transportation Recognition Challenge. In UbiComp '18 Proceedings of the 2018 ACM International Joint Conference and 2018 International Symposium on Pervasive and Ubiquitous Computing and Wearable Computers (pp. 1521-1530). Singapore: Association for Computing Machinery. doi:10.1145/3267305.3267519
  Conference publication. View on figshare.
• Ciliberto, M., Roggen, D., Wang, L., & Zillmer, R. (2018, October 9). A case study for human gesture recognition from poorly annotated data. In UbiComp '18 Proceedings of the 2018 ACM International Joint Conference and 2018 International Symposium on Pervasive and Ubiquitous Computing and Wearable Computers (pp. 1434-1443). New York: Association for Computing Machinery. doi:10.1145/3267305.3267508
  Conference publication. View on figshare.
• Witchel, H., Oberndorfer, C., Needham, R., Healy, A., Westling, C. E. I., Guppy, J. H., . . . Klucken, J. (2018). Thigh-derived inertial sensor metrics to assess the sit-to-stand and stand-to-sit transitions in the timed up and go (TUG) task for quantifying mobility impairment in multiple sclerosis. Frontiers in Neurology, 9(684), 1-16. doi:10.3389/fneur.2018.00684
  Article. View on figshare.
• Gjoreski, H., Ciliberto, M., Wang, L., Morales, F. J. O., Mekki, S., Valentin, S., & Roggen, D. (n.d.). The University of Sussex-Huawei locomotion and transportation dataset for multimodal analytics with mobile devices. IEEE Access, 6, 42592-42604. doi:10.1109/ACCESS.2018.2858933
  Article. View on figshare.
• Roggen, D., Kermani, A. P. Y. P., & Ciliberto, M. (2018). BlueSense: designing an extensible platform for wearable motion sensing, sensor research and IoT applications. In EWSN ’18 Proceedings of the 2018 International Conference on Embedded Wireless Systems and Networks (pp. 177-178). Madrid, Spain: ACM.
  Conference publication. View on figshare.
• Ciliberto, M., Cuspinera, L. P., & Roggen, D. (2018). Demo: Complex human gestures encoding from wearable inertial sensors for activity recognition. In EWSN ’18 Proceedings of the 2018 International Conference on Embedded Wireless Systems and Network (pp. 193-194). Madrid, Spain: Association for Computing Machinery.
  Conference publication. View on figshare.
• Roggen, D., Pouryazdan, A., & Ciliberto, M. (2018). Poster: Bluesense-designing an extensible platform for wearable motion sensing, sensor research and iot applications. In International Conference on Embedded Wireless Systems and Networks (pp. 177-178).
  Conference publication.

2017

• Ciliberto, M., Morales, F. J. O., Gjoreski, H., Roggen, D., Mekki, S., & Valentin, S. (n.d.). High reliability Android application for multidevice multimodal mobile data acquisition and annotation. In SenSys '17 Proceedings of the 15th ACM Conference on Embedded Network Sensor Systems (pp. pages). Delft, Netherlands: ACM. doi:10.1145/3131672.3136977
  Conference publication. View on figshare.
• Gjoreski, H., Ciliberto, M., Morales, F. J. O., Roggen, D., Mekki, S., & Valentin, S. (2017). A versatile annotated dataset for multimodal locomotion analytics with mobile devices. Poster session presented at the meeting of The 15th ACM Conference on Embedded Networked Sensor Systems (SenSys 2017).
  Poster. View on figshare.
• Liu, X., Sheng, Z., Yin, C., Ali, F., & Roggen, D. (n.d.). Performance analysis of Routing Protocol for Low power and Lossy Networks (RPL) in large scale networks. IEEE Internet of Things Journal, 4(6), 2172-2185. doi:10.1109/JIOT.2017.2755980
  Article. View on figshare.
• Witchel, H., Needham, R., Healy, A., Guppy, J. H., Bush, J., Oberndorfer, C., . . . Klucken, J. (2017). Using wearable inertial sensors to compare different versions of the dual task paradigm during walking. In Proceedings of the European Conference on Cognitive Ergonomics (ECCE 2017) (pp. 150-157). University of Umeå, Sweden: Association for Computing Machinery. doi:10.1145/3121283.3121285
  Conference publication. View on figshare.
• Kawaguchi, N., Nishio, N., Roggen, D., Inoue, S., Pirttikangas, S., & Van Laerhoven, K. (2017). 5th Int. Workshop on human activity sensing corpus and applications (HASCA): Towards open-ended context awareness. In UbiComp/ISWC 2017 - Adjunct Proceedings of the 2017 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2017 ACM International Symposium on Wearable Computers (pp. 530-536). doi:10.1145/3123024.3124410
  Conference publication. View online.
• Gjoreski, H., & Roggen, D. (2017). Unsupervised online activity discovery using temporal behaviour assumption. In International Symposium on Wearable Computers Vol. 1 (pp. 42-49). Maui, Hawai, USA: Association for Computing Machinery. doi:10.1145/3123021.3123044
  Conference publication. View on figshare.
• McGhee, J. T., Hamedi, M., Fatoorechi, M., Roggen, D., Cleal, A., Prance, R., & Nduka, C. (2017). Towards a novel biometric facial input for emotion recognition and assistive technology for virtual reality. In Virtual Reality: Recent Advances for Health and Wellbeing (pp. 121-129).
  Chapter.

2016

• Templeman, C., Ordóñez, F. J., Symes, A., & Roggen, D. (2016). Exploring glass as a novel method for hands-free data entry in flexible cystoscopy. In Proceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing (pp. 581-592). Heidelberg, Germany: Association for Computing Machinery. doi:10.1145/2971648.2971671
  Conference publication. View on figshare.
• Morales, F. J. O., & Roggen, D. (2016). Deep convolutional feature transfer across mobile activity recognition domains, sensor modalities and locations. In 20th International Symposiumon Wearable Computers (ISWC) 2016. Heidelberg, Germany. doi:10.1145/2971763.2971764
  Presentation. View on figshare.
• Cuspinera, L. P., Uetsuji, S., Morales, F. J. O., & Roggen, D. (2016). Wearable beach volleyball serve type recognition. In ISWC 2016: the 20th International Symposium on Wearable Computers. Heidelberg, Germany. doi:10.1145/2971763.2971781
  Presentation. View on figshare.
• Ciliberto, M., Morales, F. J. O., & Roggen, D. (2016). Exploring human activity annotation using a privacy preserving 3D Model. In HASCA Workshop at Ubicomp. Heidelberg, Germany. doi:10.1145/2968219.2968290
  Presentation. View on figshare.
• Kawaguchi, N., Nishio, N., Roggen, D., Inoue, S., Pirttikangas, S., & Van Laerhoven, K. (2016). 4th Workshop on human activity sensing corpus and applications: towards open-ended context awareness. In Ubicomp workshop. Heidelberg, Germany. doi:10.1145/2968219.2968294
  Presentation. View on figshare.
• Roggen, D., Kermani, A. P. Y. P., Morales, F. J. O. E., Prance, R., & Prance, H. (2016). Electric field phase sensing for wearable orientation and localisation applications. In Proceedings of the 2016 ACM International Symposium on Wearable Computers; Heidelberg, Germany; 12-16 September 2016 (pp. 52-53). New York: Association for Computing Machinery. doi:10.1145/2971763.2971774
  Conference publication. View on figshare.
• Kermani, A. P. Y. P., Prance, R., Prance, H., & Roggen, D. (2016). Wearable electric potential sensing: a new modality sensing hair touch and restless leg movement. In Proceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing: Adjunct; Heidelberg, Germany; 12-16 September 2016 (pp. 846-850). Association for Computing Machinery. doi:10.1145/2968219.2968286
  Conference publication. View on figshare.
• Kise, K., Cheng, J., Roggen, D., & Enokibori, Y. (2016). Welcome message from the UbiComp/ISWC poster and demo chairs. In UbiComp 2016 Adjunct - Proceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing (pp. xix).
  Conference publication.
• Bächlin, M., Roggen, D., Plotnik, M., Hausdorff, J. M., & Tröster, G. (2016). Experiences in developing a wearable gait assistant for Parkinson's disease patients. In Healthcare Sensor Networks: Challenges Toward Practical Implementation (pp. 303-337).
  Chapter.
• Hardegger, M., Roggen, D., Calatroni, A., & Tröster, G. (2016). S-SMART: a unified Bayesian framework for Simultaneous Semantic Mapping, Activity Recognition and Tracking. ACM Transactions on Intelligent Systems and Technology, 7(3), 34 ( pages). doi:10.1145/2824286
  Article. View on figshare.
• Morales, F. J. O., & Roggen, D. (2016). Deep convolutional and LSTM recurrent neural networks for multimodal wearable activity recognition. Sensors, 16(1), 1-25. doi:10.3390/s16010115
  Article. View on figshare.
• Morales, F. J. O., & Roggen, D. (2016). Deep Convolutional Feature Transfer Across Mobile Activity Recognition Domains, Sensor Modalities and Locations. In ISWC'16 - PROCEEDINGS OF THE 2016 ACM INTERNATIONAL SYMPOSIUM ON WEARABLE COMPUTERS (pp. 92-99). doi:10.1145/2971767.2971764
  Conference publication. View online.
• Oberndorfer, C., Barth, J., Guppy, J. H., Bush, J., Needham, R., Healy, A., . . . Witchel, H. J. (2016). Ambulatory motor dysfunction in MS assessed by wearable inertial sensor metrics during the timed-up-and-go task (TUG). In MULTIPLE SCLEROSIS JOURNAL Vol. 22 (pp. 667). Retrieved from https://www.webofscience.com/
  Conference publication.

2015

• Eskofier, B. M., Gupta, S., Lane, N. D., Lee, Y., Noma, H., Ohmura, R., . . . Siio, I. (2015). Welcome message from the UbiComp/ISWC adjunct chairs. In UbiComp and ISWC 2015 - Proceedings of the 2015 ACM International Joint Conference on Pervasive and Ubiquitous Computing and the Proceedings of the 2015 ACM International Symposium on Wearable Computers (pp. xviii).
  Conference publication.
• Kawaguchi, N., Nishio, N., Roggen, D., Inoue, S., & Pirttikangas, S. (2015). International workshop on human activity sensing corpus and its application (HASCA2015). In UbiComp and ISWC 2015 - Proceedings of the 2015 ACM International Joint Conference on Pervasive and Ubiquitous Computing and the Proceedings of the 2015 ACM International Symposium on Wearable Computers (pp. 1400-1404). doi:10.1145/2800835.2801621
  Conference publication. View online.
• Rendon-Morales, E., Roggen, D., Prance, H., & Prance, R. (2015). Towards the correlation between human hydration and the electrical activity of the heart using Electric Potential Sensors. In IEEE Sensors Applications Symposium. Zadar, Croatia. doi:10.1109/SAS.2015.7133644
  Presentation. View on figshare.
• Rendon-Morales, E., Roggen, D., Prance, H., & Prance, R. J. (2015). Towards the correlation between human hydration and the electrical activity of the heart using Electric Potential Sensors. In Sensors Applications Symposium (SAS), 2015 IEEE (pp. 435-439). Piscataway, NJ: IEEE. doi:10.1109/SAS.2015.7133644
  Conference publication. View online.
• Gatica-Perez, D., Roggen, D., & Fukumoto, M. (2015). Theme issue from ISWC 2013. Personal and Ubiquitous Computing, 19(1), 103-104. doi:10.1007/s00779-014-0814-z
  Article. View online.
• Roggen, D., Cuspinera, L. P., Pombo, G., Ali, F., & Nguyen-Dinh, L. -V. (2015). Limited-memory warping LCSS for real-time low-power pattern recognition in wireless nodes. In Wireless Sensor Networks 12th European Conference, EWSN 2015, Proceedings Vol. 8965 (pp. 151-167). Cham, Switzerland: Springer. doi:10.1007/978-3-319-15582-1_10
  Conference publication. View on figshare.
• Oberndorfer, C., Barth, J., Needham, R., Chockalingam, N., Herberz, C., Westling, C. E. I., . . . Witchel, H. J. (2015). Ambulatory motor fatigue in MS assessed by wearable inertial sensor metrics during the six minute walk. In MULTIPLE SCLEROSIS JOURNAL Vol. 21 (pp. 307-308). Retrieved from https://www.webofscience.com/
  Conference publication.
• Inoue, K., Stafforini, D., & Tamanoi, F. (2015). Preface. In The Enzymes (pp. xi). Elsevier. doi:10.1016/s1874-6047(15)00040-2
  Chapter. View online.

2014

• Hardegger, M., Roggen, D., & Gerhard, T. (2015). 3D ActionSLAM: wearable person tracking in multi-floor environments. Personal and Ubiquitous Computing, 19(1), 123-141. doi:10.1007/s00779-014-0815-y
  Article. View on figshare.
• Tessendorf, B., Gravenhorst, F., Roggen, D., Stiefmeier, T., Strohrmann, C., Tröster, G., . . . Feilner, M. (2014). Exploration of head gesture control for hearing instruments. International Journal of Ad Hoc and Ubiquitous Computing, 16(4), 240-249. doi:10.1504/IJAHUC.2014.064858
  Article. View online.
• Gordon, D., Wirz, M., Roggen, D., Tröster, G., & Beigl, M. (2014). Group affiliation detection using model divergence for wearable devices. In Proceedings - International Symposium on Wearable Computers, ISWC (pp. 19-26). doi:10.1145/2634317.2634319
  Conference publication. View online.
• Hardegger, M., Nguyen-Dinh, L. V., Calatroni, A., Roggen, D., & Tröster, G. (2014). Enhancing action recognition through simultaneous semantic mapping from body-worn motion sensors. In Proceedings - International Symposium on Wearable Computers, ISWC (pp. 99-106). doi:10.1145/2634317.2634323
  Conference publication. View online.
• McNaney, R., Vines, J., Roggen, D., Balaam, M., Zhang, P., Poliakov, I., & Olivier, P. (2014). Exploring the acceptability of google glass as an everyday assistive device for people with Parkinson's. In Conference on Human Factors in Computing Systems - Proceedings (pp. 2551-2554). doi:10.1145/2556288.2557092
  Conference publication. View online.
• Roggen, D., Perez, D. G., Fukumoto, M., & Van Laerhoven, K. (2014). ISWC 2013 - Wearables Are Here to Stay. IEEE Pervasive Computing, 13(1), 14-18. doi:10.1109/MPRV.2014.11
  Article. View online.
• Tous, F. L., Ferriol, P., Alcalde, M. A., Melià, M., Milosevic, B., Hardegger, M., & Roggen, D. (2014). Incorporating the rehabilitation of parkinson's disease in the play for health platform using a body area network. In IFMBE Proceedings Vol. 41 (pp. 1481-1484). doi:10.1007/978-3-319-00846-2_366
  Conference publication. View online.
• Kawaguchi, N., Inoue, S., Nishio, N., Pirttikangas, S., & Roggen, D. (2014). International workshop on human activity sensing corpus and its application (HASCA2014). In 2014 ACM International Joint Conference on Pervasive and Ubiquitous Computing. Washington, US. doi:10.1145/2638728.2641314
  Presentation. View on figshare.
• Miu, T., Missier, P., Roggen, D., & Plötz, T. (2014). On strategies for budget-based online annotation in human activity recognition. In 2014 ACM International Joint Conference on Pervasive and Ubiquitous Computing. Washington, US. doi:10.1145/2638728.2641300
  Presentation. View on figshare.

2013

• Fukumoto, M., Gatica-Perez, D., & Roggen, D. (2013). ISWC 2013 program chairs' welcome. In ISWC 2013 - Proceedings of the 2013 ACM International Symposium on Wearable Computers.
  Conference publication.
• Kawaguchi, N., Nishio, N., Roggen, D., Fujinami, K., & Pirttikangas, S. (2013). Chairs' summary/proposal for international workshop on human activity sensing corpus and its application (HASCA2013). In UbiComp 2013 Adjunct - Adjunct Publication of the 2013 ACM Conference on Ubiquitous Computing (pp. 599-603). doi:10.1145/2494091.2495992
  Conference publication. View online.
• Hardegger, M., Tr̈oster, G., & Roggen, D. (2013). Improved actionSLAM for long-term indoor tracking with wearable motion sensors. In ISWC 2013 - Proceedings of the 2013 ACM International Symposium on Wearable Computers (pp. 1-8). doi:10.1145/2493988.2494328
  Conference publication. View online.
• Kirkham, R., Mellor, S., Khan, A., Roggen, D., Bhattacharya, S., Plötz, T., & Hammerla, N. (2013). Automatic correction of annotation boundaries in activity datasets by class separation maximization. In UbiComp 2013 Adjunct - Adjunct Publication of the 2013 ACM Conference on Ubiquitous Computing (pp. 673-678). doi:10.1145/2494091.2495988
  Conference publication. View online.
• Sagha, H., Calatroni, A., Millán, J. D. R., Roggen, D., Tröster, G., & Chavarriaga, R. (2013). Robust activity recognition combining anomaly detection and classifier retraining. In 2013 IEEE International Conference on Body Sensor Networks, BSN 2013. doi:10.1109/BSN.2013.6575491
  Conference publication. View online.
• Manzoor, A., Truong, H. L., Calatroni, A., Roggen, D., Bouroche, M., Clarke, S., . . . Dustdar, S. (2013). Analyzing the impact of different action primitives in designing high-level human activity recognition systems. Journal of Ambient Intelligence and Smart Environments, 5(5), 443-461. doi:10.3233/AIS-130223
  Article. View online.
• Mazilu, S., Calatroni, A., Gazit, E., Roggen, D., Hausdorff, J. M., & Tröster, G. (2013). Feature learning for detection and prediction of freezing of gait in Parkinson's disease. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) Vol. 7988 LNAI (pp. 144-158). doi:10.1007/978-3-642-39712-7_11
  Conference publication. View online.
• Wirz, M., Mitleton-Kelly, E., Franke, T., Camilleri, V., Montebello, M., Roggen, D., . . . Troster, G. (2013). Using mobile technology and a participatory sensing approach for crowd monitoring and management during large-scale mass gatherings. Understanding Complex Systems, 61-77. doi:10.1007/978-3-642-36614-7_4
  Article. View online.
• Kjærgaard, M. B., Blunck, H., Wüstenberg, M., Grønbæsk, K., Wirz, M., Roggen, D., & Tröster, G. (2013). Time-lag method for detecting following and leadership behavior of pedestrians from mobile sensing data. In 2013 IEEE International Conference on Pervasive Computing and Communications, PerCom 2013 (pp. 56-64). doi:10.1109/PerCom.2013.6526714
  Conference publication. View online.
• Nguyen-Dinh, L. V., Waldburger, C., Roggen, D., & Tröster, G. (2013). Tagging human activities in video by crowdsourcing. In ICMR 2013 - Proceedings of the 3rd ACM International Conference on Multimedia Retrieval (pp. 263-270). doi:10.1145/2461466.2461508
  Conference publication. View online.
• Mazilu, S., Blanke, U., Roggen, D., Tröster, G., Gazit, E., & Hausdorff, J. M. (2013). Engineers meet clinicians: Augmenting parkinson's disease patients to gather information for gait rehabilitation. In ACM International Conference Proceeding Series (pp. 124-127). doi:10.1145/2459236.2459257
  Conference publication. View online.
• Roggen, D., Förster, K., Calatroni, A., & Tröster, G. (2013). The adARC pattern analysis architecture for adaptive human activity recognition systems. Journal of Ambient Intelligence and Humanized Computing, 4(2), 169-186. doi:10.1007/s12652-011-0064-0
  Article. View online.
• Roggen, D., Tröster, G., Lukowicz, P., Ferscha, A., Del R. Millán, J., & Chavarriaga, R. (2013). Opportunistic human activity and context recognition. Computer, 46(2), 36-45. doi:10.1109/MC.2012.393
  Article. View online.
• Tessendorf, B., Debevc, M., Derleth, P., Feilner, M., Gravenhorst, F., Roggen, D., . . . Tröster, G. (2013). Design of a multimodal hearing system. Computer Science and Information Systems, 10(1), 483-501. doi:10.2298/CSIS120423012T
  Article. View online.
• Wirz, M., Franke, T., Roggen, D., Mitleton-Kelly, E., Lukowicz, P., & Tröster, G. (2013). Probing crowd density through smartphones in city-scale mass gatherings. EPJ Data Science, 2(1), 1-24. doi:10.1140/epjds17
  Article. View online.
• Chavarriaga, R., Sagha, H., Calatroni, A., Digumarti, S. T., Tröster, G., Millán, J. D. R., & Roggen, D. (2013). The Opportunity challenge: A benchmark database for on-body sensor-based activity recognition. Pattern Recognition Letters, 34(15), 2033-2042. doi:10.1016/j.patrec.2012.12.014
  Article. View online.
• Wirz, M., Franke, T., Mitleton-Kelly, E., Roggen, D., Lukowicz, P., & Tröster, G. (2013). CoenoSense: A framework for real-time detection and visualization of collective behaviors in human crowds by tracking mobile devices. In Springer Proceedings in Complexity (pp. 353-361). doi:10.1007/978-3-319-00395-5_46
  Chapter. View online.
• Roggen, D., Tröster, G., & Bulling, A. (2013). Signal processing technologies for activity-aware smart textiles. In Multidisciplinary Know-How for Smart-Textiles Developers (pp. 329-365). doi:10.1533/9780857093530.2.329
  Chapter. View online.
• Hardegger, M., Mazilu, S., Caraci, D., Hess, F., Roggen, D., & Tröster, G. (2013). ActionSLAM on a smartphone: At-home tracking with a fully wearable system. In 2013 International Conference on Indoor Positioning and Indoor Navigation, IPIN 2013. doi:10.1109/IPIN.2013.6817874
  Conference publication. View online.

2012

• Tessendorf, B., Derleth, P., Feilner, M., Gravenhorst, F., Kettner, A., Roggen, D., . . . Troster, G. (2012). Ear-worn reference data collection and annotation for multimodal context-aware hearing instruments. In Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS (pp. 2468-2471). doi:10.1109/EMBC.2012.6346464
  Conference publication. View online.
• Nguyen-Dinh, L. V., Roggen, D., Calatroni, A., & Tröster, G. (2012). Improving online gesture recognition with template matching methods in accelerometer data. In International Conference on Intelligent Systems Design and Applications, ISDA (pp. 831-836). doi:10.1109/ISDA.2012.6416645
  Conference publication. View online.
• Cujia, K., Wirz, M., Kjaergaard, M. B., Roggen, D., & Troster, G. (2012). DactyLoc: A minimally geo-referenced WiFi+GSM-fingerprint-based localization method for positioning in urban spaces. In 2012 International Conference on Indoor Positioning and Indoor Navigation, IPIN 2012 - Conference Proceedings. doi:10.1109/IPIN.2012.6418923
  Conference publication. View online.
• Hardegger, M., Roggen, D., Mazilu, S., & Troster, G. (2012). ActionSLAM: Using location-related actions as landmarks in pedestrian SLAM. In 2012 International Conference on Indoor Positioning and Indoor Navigation, IPIN 2012 - Conference Proceedings. doi:10.1109/IPIN.2012.6418932
  Conference publication. View online.
• Kjærgaard, M. B., Wirz, M., Roggen, D., & Tröster, G. (2012). Detecting pedestrian flocks by fusion of multi-modal sensors in mobile phones. In UbiComp'12 - Proceedings of the 2012 ACM Conference on Ubiquitous Computing (pp. 240-249). doi:10.1145/2370216.2370256
  Conference publication. View online.
• Wirz, M., Franke, T., Roggen, D., Mitleton-Kelly, E., Lukowicz, P., & Tröster, G. (2012). Inferring crowd conditions from pedestrians' location traces for real-time crowd monitoring during city-scale mass gatherings. In Proceedings of the Workshop on Enabling Technologies: Infrastructure for Collaborative Enterprises, WETICE (pp. 367-372). doi:10.1109/WETICE.2012.26
  Conference publication. View online.
• Baños, O., Calatroni, A., Damas, M., Pomares, H., Rojas, I., Sagha, H., . . . Roggen, D. (2012). Kinect=IMU? Learning MIMO signal mappings to automatically translate activity recognition systems across sensor modalities. In Proceedings - International Symposium on Wearable Computers, ISWC (pp. 92-99). doi:10.1109/ISWC.2012.17
  Conference publication. View online.
• Zappi, P., Roggen, D., Farella, E., Tröster, G., & Benini, L. (2012). Network-level power-performance trade-off in wearable activity recognition: A dynamic sensor selection approach. Transactions on Embedded Computing Systems, 11(3). doi:10.1145/2345770.2345781
  Article. View online.
• Mazilu, S., Hardegger, M., Zhu, Z., Roggen, D., Tröster, G., Plotnik, M., & Hausdorff, J. M. (2012). Online detection of freezing of gait with smartphones and machine learning techniques. In 2012 6th International Conference on Pervasive Computing Technologies for Healthcare and Workshops, PervasiveHealth 2012 (pp. 123-130). doi:10.4108/icst.pervasivehealth.2012.248680
  Conference publication. View online.
• Tessendorf, B., Derleth, P., Feilner, M., Roggen, D., Stiefmeier, T., & Tröster, G. (2012). Improving game accessibility with vibrotactile-enhanced hearing instruments. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) Vol. 7382 LNCS (pp. 463-470). doi:10.1007/978-3-642-31522-0_70
  Conference publication. View online.
• Tessendorf, B., Kettner, A., Roggen, D., Stiefmeier, T., Tröster, G., Derleth, P., & Feilner, M. (2012). Identification of relevant multimodal cues to enhance context-aware hearing instruments. In BODYNETS 2011 - 6th International ICST Conference on Body Area Networks (pp. 15-18). doi:10.4108/icst.bodynets.2011.246911
  Conference publication. View online.
• Tessendorf, B., Roggen, D., Spuhler, M., Stiefmeier, T., Tröster, G., Grämer, T., . . . Feilner, M. (2012). Bilateral vibrotactile feedback patterns for accurate lateralization in Hearing Instrument body area networks. In BODYNETS 2011 - 6th International ICST Conference on Body Area Networks (pp. 107-113). doi:10.4108/icst.bodynets.2011.246910
  Conference publication. View online.
• Kjaergaard, M. B., Wirz, M., Roggen, D., & Troster, G. (2012). Mobile sensing of pedestrian flocks in indoor environments using WiFi signals. In 2012 IEEE International Conference on Pervasive Computing and Communications, PerCom 2012 (pp. 95-102). doi:10.1109/PerCom.2012.6199854
  Conference publication. View online.
• Tessendorf, B., Derleth, P., Feilner, M., Roggen, D., Stiefmeier, T., & Tröster, G. (2012). Automatic power-off for binaural hearing instruments. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) Vol. 7683 LNCS (pp. 409-414). doi:10.1007/978-3-642-34898-3_35
  Conference publication. View online.
• Calatroni, A., Roggen, D., & Tröster, G. (2012). Design of an ecology of activity-aware cells in ambient intelligence environments. In IFAC Proceedings Volumes (IFAC-PapersOnline) Vol. 45 (pp. 441-446). doi:10.3182/20120905-3-HR-2030.00181
  Conference publication. View online.

2011

• Calatroni, A., Roggen, D., & Tröster, G. (2011). Collection and curation of a large reference dataset for activity recognition. In Conference Proceedings - IEEE International Conference on Systems, Man and Cybernetics (pp. 30-35). doi:10.1109/ICSMC.2011.6083638
  Conference publication. View online.
• Sagha, H., Digumarti, S. T., Millán, J. D. R., Chavarriaga, R., Calatroni, A., Roggen, D., & Tröster, G. (2011). Benchmarking classification techniques using the opportunity human activity dataset. In Conference Proceedings - IEEE International Conference on Systems, Man and Cybernetics (pp. 36-40). doi:10.1109/ICSMC.2011.6083628
  Conference publication. View online.
• Bächlin, M., Roggen, D., Plotnik, M., Hausdorff, J. M., Giladi, N., & Tröster, G. (2011). Online detection of freezing of gait in Parkinson's disease patients: A performance characterization. In BODYNETS 2009 - 4th International ICST Conference on Body Area Networks. doi:10.4108/ICST.BODYNETS2009.5852
  Conference publication. View online.
• Harms, H., Amft, O., Roggen, D., & Tröster, G. (2011). SMASH: A distributed sensing and processing garment for the classification of upper body postures. In BODYNETS 2008 - 3rd International ICST Conference on Body Area Networks. doi:10.4108/ICST.BODYNETS2008.2955
  Conference publication. View online.
• Coloberti, M., Lombriser, C., Roggen, D., Tröster, G., Guarneri, R., & Riboni, D. (2011). Service discovery and composition in body area networks. In BODYNETS 2008 - 3rd International ICST Conference on Body Area Networks. doi:10.4108/ICST.BODYNETS2008.2951
  Conference publication. View online.
• Tessendorf, B., Roggen, D., Spuhler, M., Stiefmeier, T., Tröster, G., Grämer, T., . . . Derleth, P. (2011). Design of a bilateral vibrotactile feedback system for lateralization. In ASSETS'11: Proceedings of the 13th International ACM SIGACCESS Conference on Computers and Accessibility (pp. 233-234). doi:10.1145/2049536.2049583
  Conference publication. View online.
• Wirz, M., Schläpfer, P., Kjærgaard, M. B., Roggen, D., Feese, S., & Tröster, G. (2011). Towards an online detection of pedestrian flocks in urban canyons by smoothed spatio-temporal clustering of GPS trajectories. In 3rd ACM SIGSPATIAL International Workshop on Location-Based Social Networks, LBSN 2011 - Held in Conjunction with the 19th ACM SIGSPATIAL GIS 2011. doi:10.1145/2063212.2063220
  Conference publication. View online.
• Bulling, A., & Roggen, D. (2011). Recognition of visual memory recall processes using eye movement analysis. In UbiComp'11 - Proceedings of the 2011 ACM Conference on Ubiquitous Computing (pp. 455-464). doi:10.1145/2030112.2030172
  Conference publication. View online.
• Wirz, M., Strohrmann, C., Patscheider, R., Hilti, F., Gahr, B., Hess, F., . . . Tröster, G. (2011). Real-time detection and recommendation of thermal spots by sensing collective behaviors in paragliding. In SCI'11 - Proceedings of 1st International Symposium on from Digital Footprints to Social and Community Intelligence (pp. 7-12). doi:10.1145/2030066.2030070
  Conference publication. View online.
• Roggen, D., Wirz, M., Tröster, G., & Helbing, D. (2011). Recognition of crowd behavior from mobile sensors with pattern analysis and graph clustering methods. Networks and Heterogeneous Media, 6(3), 521-544. doi:10.3934/nhm.2011.6.521
  Article. View online.
• Tessendorf, B., Bulling, A., Roggen, D., Stiefmeier, T., Feilner, M., Derleth, P., & Tröster, G. (2011). Recognition of hearing needs from body and eye movements to improve hearing instruments. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) Vol. 6696 LNCS (pp. 314-331). doi:10.1007/978-3-642-21726-5_20
  Conference publication. View online.
• Roggen, D., Magnenat, S., Waibel, M., & Tröster, G. (2011). Wearable computing. IEEE Robotics and Automation Magazine, 18(2), 83-95. doi:10.1109/MRA.2011.940992
  Article. View online.
• Roggen, D., Lombriser, C., Rossi, M., & Trster, G. (2011). Titan: An enabling framework for activity-aware pervasive apps in opportunistic personal area networks. Eurasip Journal on Wireless Communications and Networking, 2011. doi:10.1155/2011/172831
  Article. View online.
• Bulling, A., Roggen, D., & Tröster, G. (2011). What's in the eyes for context-awareness?. IEEE Pervasive Computing, 10(2), 48-57. doi:10.1109/MPRV.2010.49
  Article. View online.
• Roggen, D., Calatroni, A., Förster, K., Tröster, G., Lukowicz, P., Bannach, D., . . . Chavarriaga, R. (2011). Activity recognition in opportunistic sensor environments. In Procedia Computer Science Vol. 7 (pp. 173-174). doi:10.1016/j.procs.2011.09.003
  Conference publication. View online.

2010

• Manzoor, A., Villalonga, C., Calatroni, A., Truong, H. L., Roggen, D., Dustdar, S., & Tröster, G. (2010). Identifying important action primitives for high level activity recognition. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) Vol. 6446 LNCS (pp. 149-162). doi:10.1007/978-3-642-16982-3_12
  Conference publication. View online.
• Zia, K., Ferscha, A., Riener, A., Wirz, M., Roggen, D., Kloch, K., & Lukowicz, P. (2010). Scenario based modeling for very large scale simulations. In Proceedings - IEEE International Symposium on Distributed Simulation and Real-Time Applications, DS-RT (pp. 103-110). doi:10.1109/DS-RT.2010.20
  Conference publication. View online.
• Förster, K., Monteleone, S., Calatroni, A., Roggen, D., & Tröster, G. (2010). Incremental kNN classifier exploiting correct-error teacher for activity recognition. In Proceedings - 9th International Conference on Machine Learning and Applications, ICMLA 2010 (pp. 445-450). doi:10.1109/ICMLA.2010.72
  Conference publication. View online.
• Tessendorf, B., Bulling, A., Roggen, D., Stiefmeier, T., Tröster, G., Feilner, M., & Derleth, P. (2010). Towards multi-modal context recognition for hearing instruments. In Proceedings - International Symposium on Wearable Computers, ISWC. doi:10.1109/ISWC.2010.5665855
  Conference publication. View online.
• Wirz, M., Roggen, D., & Tröster, G. (2010). A wearable, ambient sound-based approach for infrastructureless fuzzy proximity estimation. In Proceedings - International Symposium on Wearable Computers, ISWC. doi:10.1109/ISWC.2010.5665863
  Conference publication. View online.
• Biasiucci, A., Chavarriaga, R., Förster, K., Roggen, D., Tröster, G., & Del, J. (2010). Human awareness to interface errors improves HCI performance. In 4th International Conference on Cognitive Systems, CogSys 2010.
  Conference publication.
• Chavarriaga, R., Biasiucci, A., Förster, K., Roggen, D., Tröster, G., & Del Millán, J. R. (2010). Adaptation of hybrid human-computer interaction systems using EEG error-related potentials. In 2010 Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC'10 (pp. 4226-4229). doi:10.1109/IEMBS.2010.5627376
  Conference publication. View online.
• Roggen, D., Calatroni, A., Rossi, M., Holleczek, T., Förster, K., Tröster, G., . . . Del R. Millàn, J. (2010). Collecting complex activity datasets in highly rich networked sensor environments. In INSS 2010 - 7th International Conference on Networked Sensing Systems (pp. 233-240). doi:10.1109/INSS.2010.5573462
  Conference publication. View online.
• Wirz, M., Roggen, D., & Tröster, G. (2010). User acceptance study of a mobile system for assistance during emergency situations at large-scale events. In 2010 3rd International Conference on Human-Centric Computing, HumanCom 2010. doi:10.1109/HUMANCOM.2010.5563347
  Conference publication. View online.
• Lukowicz, P., Amft, O., Roggen, D., & Cheng, J. (2010). On-body sensing: From gesture-based input to activity-driven interaction. Computer, 43(10), 92-96. doi:10.1109/MC.2010.294
  Article. View online.
• Roggen, D., Bächlin, M., Schümm, J., Holleczek, T., Lombriser, C., Tröster, G., . . . Gutknecht, J. (2010). An educational and research kit for activity and context recognition from on-body sensors. In 2010 International Conference on Body Sensor Networks, BSN 2010 (pp. 277-282). doi:10.1109/BSN.2010.35
  Conference publication. View online.
• Benocci, M., Bächlin, M., Farella, E., Roggen, D., Benini, L., & Tröster, G. (2010). Wearable assistant for load monitoring: Recognition of on-body load placement from gait alterations. In 2010 4th International Conference on Pervasive Computing Technologies for Healthcare, Pervasive Health 2010. doi:10.4108/ICST.PERVASIVEHEALTH2010.8894
  Conference publication. View online.
• Förster, K., Biasiucci, A., Chavarriaga, R., Del R. Millán, J., Roggen, D., & Tröster, G. (2010). On the use of brain decoded signals for online user adaptive gesture recognition systems. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) Vol. 6030 LNCS (pp. 427-444). doi:10.1007/978-3-642-12654-3_25
  Conference publication. View online.
• Bächlin, M., Plotnik, M., Roggen, D., Maidan, I., Hausdorff, J. M., Giladi, N., & Tröster, G. (2010). Wearable assistant for Parkinsons disease patients with the freezing of gait symptom. IEEE Transactions on Information Technology in Biomedicine, 14(2), 436-446. doi:10.1109/TITB.2009.2036165
  Article. View online.
• Bächlin, M., Plotnik, M., Roggen, D., Giladi, N., Hausdorff, J. M., & Tröster, G. (2010). A wearable system to assist walking of parkinsońs disease patients benefits and challenges of context-triggered acoustic cueing. Methods of Information in Medicine, 49(1), 88-95. doi:10.3414/ME09-02-0003
  Article. View online.
• Lukowicz, P., Pirkl, G., Bannach, D., Wagner, F., Calatroni, A., Förster, K., . . . Chavarriaga, R. (2010). Recording a complex, multi modal activity data set for context recogntion. In 23th International Conference on Architecture of Computing Systems 2010, ARCS 2010 - Workshop Proceedings (pp. 161-166).
  Conference publication.

2009

• Wirz, M., Roggen, D., & Tröster, G. (2009). Decentralized detection of group formations from wearable acceleration sensors. In Proceedings - 12th IEEE International Conference on Computational Science and Engineering, CSE 2009 Vol. 4 (pp. 952-959). doi:10.1109/CSE.2009.199
  Conference publication. View online.
• Förster, K., Brem, P., Roggen, D., & Tröster, G. (2009). Evolving discriminative features robust to sensor displacement for activity recognition in body area sensor networks. In ISSNIP 2009 - Proceedings of 2009 5th International Conference on Intelligent Sensors, Sensor Networks and Information Processing (pp. 43-48). doi:10.1109/ISSNIP.2009.5416810
  Conference publication. View online.
• Bulling, A., Roggen, D., & Tröster, G. (2009). Wearable EOG goggles: Seamless sensing and context-awareness in everyday environments. Journal of Ambient Intelligence and Smart Environments, 1(2), 157-171. doi:10.3233/AIS-2009-0020
  Article. View online.
• Roggen, D., Förster, K., Calatroni, A., Holleczek, T., Fang, Y., Tröster, G., . . . Del R. Millán, J. (2009). OPPORTUNITY: Towards opportunistic activity and context recognition systems. In 2009 IEEE International Symposium on a World of Wireless, Mobile and Multimedia Networks and Workshops, WOWMOM 2009. doi:10.1109/WOWMOM.2009.5282442
  Conference publication. View online.
• Harms, H., Amft, O., Roggen, D., & Tröster, G. (2009). Rapid prototyping of smart garments for activity-aware applications. Journal of Ambient Intelligence and Smart Environments, 1(2), 87-101. doi:10.3233/AIS-2009-0015
  Article. View online.
• Holleczek, T., Zysset, C., Arnrich, B., Roggen, D., & Trster, G. (2009). Towards an interactive snowboarding assistance system. In Proceedings - International Symposium on Wearable Computers, ISWC (pp. 147-148). doi:10.1109/ISWC.2009.30
  Conference publication. View online.
• Förster, K., Roggen, D., & Tröster, G. (2009). Unsupervised classifier self-calibration through repeated context occurences: Is there robustness against sensor displacement to gain?. In Proceedings - International Symposium on Wearable Computers, ISWC (pp. 77-84). doi:10.1109/ISWC.2009.12
  Conference publication. View online.
• Bächlin, M., Roggen, D., Tröster, G., Plotnik, M., Inbar, N., Meidan, I., . . . Hausdorff, J. M. (2009). Potentials of enhanced context awareness in wearable assistants for Parkinson's disease patients with the freezing of gait syndrome. In Proceedings - International Symposium on Wearable Computers, ISWC (pp. 123-130). doi:10.1109/ISWC.2009.14
  Conference publication. View online.
• Bächlin, M., Plotnik, M., Roggen, D., Inbar, N., Giladi, N., Hausdorff, J., & Tröster, G. (2009). Parkinson's disease patients' perspective on context aware wearable technology for auditive assistance. In 2009 3rd International Conference on Pervasive Computing Technologies for Healthcare - Pervasive Health 2009, PCTHealth 2009. doi:10.4108/ICST.PERVASIVEHEALTH2009.6001
  Conference publication. View online.
• Bulling, A., Roggen, D., & Tröster, G. (2009). Wearable EOG goggles: Eye-based interaction in everyday environments. In Conference on Human Factors in Computing Systems - Proceedings (pp. 3259-3264). doi:10.1145/1520340.1520468
  Conference publication. View online.
• Bächlin, M., Schumm, J., Roggen, D., & Töster, G. (2009). Quantifying gait similarity: User authentication and real-world challenge. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) Vol. 5558 LNCS (pp. 1040-1049). doi:10.1007/978-3-642-01793-3_105
  Conference publication. View online.
• Lombriser, C., Marin-Perianu, R., Roggen, D., Havinga, P., & Tröster, G. (2009). Modeling service-oriented context processing in dynamic body area networks. IEEE Journal on Selected Areas in Communications, 27(1), 49-57. doi:10.1109/JSAC.2009.090106
  Article. View online.
• Villalonga, C., Roggen, D., Lombriser, C., Zappi, P., & Tröster, G. (2009). Bringing quality of context into wearable human activity recognition systems. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) Vol. 5786 LNCS (pp. 164-173). doi:10.1007/978-3-642-04559-2_15
  Conference publication. View online.
• Calatroni, A., Villalonga, C., Roggen, D., & Tröster, G. (2009). Context cells: Towards lifelong learning in activity recognition systems. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) Vol. 5741 LNCS (pp. 121-134). doi:10.1007/978-3-642-04471-7_10
  Conference publication. View online.

2008

• Bulling, A., Roggen, D., & Tröster, G. (2008). It's in your eyes: Towards context-awareness and mobile HCI using wearable EOG goggles. In UbiComp 2008 - Proceedings of the 10th International Conference on Ubiquitous Computing (pp. 84-93). doi:10.1145/1409635.1409647
  Conference publication. View online.
• Schumm, J., Bächlin, M., Setz, C., Arnrich, B., Roggen, D., & Tröster, G. (2008). Effect of movements on the electrodermal response after a startle event. In Proceedings of the 2nd International Conference on Pervasive Computing Technologies for Healthcare 2008, PervasiveHealth (pp. 315-318). doi:10.1109/PCTHEALTH.2008.4571101
  Conference publication. View online.
• Zappi, P., Lombriser, C., Stiefmeier, T., Farella, E., Roggen, D., Benini, L., & Tröster, G. (2008). Activity recognition from on-body sensors: Accuracy-power trade-off by dynamic sensor selection. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) Vol. 4913 LNCS (pp. 17-33). doi:10.1007/978-3-540-77690-1_2
  Conference publication. View online.
• Schumm, J., Bächlin, M., Setz, C., Arnrich, B., Roggen, D., & Tröster, G. (2008). Effect of movements on the electrodermal response after a startle event. Methods of Information in Medicine, 47(3), 186-191. doi:10.3414/ME9108
  Article. View online.
• Stiefmeier, T., Roggen, D., Ogris, G., Lukowicz, P., & Tröster, G. (2008). Wearable activity tracking in car manufacturing. IEEE Pervasive Computing, 7(2), 42-50. doi:10.1109/MPRV.2008.40
  Article. View online.
• Schumm, J., Baechlin, M., Setz, C., Arnrich, B., Roggen, D., & Troester, G. (2008). Effect of movements on the electrodermal response after a startle event. In 2008 2ND INTERNATIONAL CONFERENCE ON PERVASIVE COMPUTING TECHNOLOGIES FOR HEALTHCARE (pp. 300-303). Retrieved from https://www.webofscience.com/
  Conference publication.
• Bulling, A., Roggen, D., & Tröster, G. (2008). EyeMote - Towards context-aware gaming using eye movements recorded from wearable electrooculography. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) Vol. 5294 LNCS (pp. 33-45). doi:10.1007/978-3-540-88322-7_4
  Conference publication. View online.

2007

• Stiefmeier, T., Roggen, D., & Tröster, G. (2007). Fusion of string-matched templates for continuous activity recognition. In Proceedings - International Symposium on Wearable Computers, ISWC (pp. 41-44). doi:10.1109/ISWC.2007.4373775
  Conference publication. View online.
• Zappi, P., Stiefmeier, T., Farella, E., Roggen, D., Benini, L., & Tröster, G. (2007). Activity recognition from on-body sensors by classifier fusion: Sensor scalability and robustness. In Proceedings of the 2007 International Conference on Intelligent Sensors, Sensor Networks and Information Processing, ISSNIP (pp. 281-286). doi:10.1109/ISSNIP.2007.4496857
  Conference publication. View online.
• Lombriser, C., Marin-Perianu, M., Marin-Perianu, R., Roggen, D., Havinga, P., & Tröster, G. (2007). Organizing context information processing in dynamic wireless sensor networks. In Proceedings of the 2007 International Conference on Intelligent Sensors, Sensor Networks and Information Processing, ISSNIP (pp. 67-72). doi:10.1109/ISSNIP.2007.4496821
  Conference publication. View online.
• Roggen, D., Federici, D., & Floreano, D. (2007). Evolutionary morphogenesis for multi-cellular systems. Genetic Programming and Evolvable Machines, 8(1), 61-96. doi:10.1007/s10710-006-9019-1
  Article. View online.
• Lombriser, C., Roggen, D., Stäger, M., & Tröster, G. (2007). Titan: A tiny task network for dynamically reconfigurable heterogeneous sensor networks. In Informatik aktuell (pp. 127-138). doi:10.1007/978-3-540-69962-0_11
  Conference publication. View online.
• Roggen, D., Jenny, R., De La Hamette, P., & Tröster, G. (2007). Mapping by seeing - Wearable vision-based dead-reckoning, and closing the loop. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) Vol. 4793 LNCS (pp. 29-45). doi:10.1007/978-3-540-75696-5_2
  Conference publication. View online.
• Lombriser, C., Bharatula, N. B., Tröster, G., & Roggen, D. (2007). On-body activity recognition in a dynamic sensor network. In BODYNETS 2007 - 2nd International ICST Conference on Body Area Networks. doi:10.4108/bodynets.2007.114
  Conference publication. View online.
• Bailador, G., Roggen, D., Tröster, G., & Triviño, G. (2007). Real time gesture recognition using Continuous Time Recurrent Neural Networks. In BODYNETS 2007 - 2nd International ICST Conference on Body Area Networks. doi:10.4108/bodynets.2007.149
  Conference publication. View online.
• Stiefmeier, T., Roggen, D., & Tröster, G. (2007). Gestures are Strings: Efficient online gesture spotting and classification using string matching. In BODYNETS 2007 - 2nd International ICST Conference on Body Area Networks. doi:10.4108/bodynets.2007.143
  Conference publication. View online.

2006

• Stiefmeier, T., Lombriser, C., Roggen, D., Junker, H., Ogris, G., & Tröster, G. (2006). Event-based activity tracking in work environments. In IFAWC 2006 - 3rd International Forum on Applied Wearable Computing 2006, Proceedings (pp. 91-100).
  Conference publication.

2004

• Thoma, Y., Sanchez, E., Roggen, D., Hetherington, C., & Moreno, J. M. (2004). Prototyping with a bio-inspired reconfigurable chip. In Proceedings of the International Workshop on Rapid System Prototyping (pp. 239-246). doi:10.1109/IWRSP.2004.1311123
  Conference publication. View online.
• Floreano, D., Mondada, F., Perez-Uribe, A., & Roggen, D. (2004). Evolution of embodied intelligence. In Lecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science) Vol. 3139 (pp. 293-311). doi:10.1007/978-3-540-27833-7_23
  Conference publication. View online.
• Roggen, D., & Federici, D. (2004). Multi-cellular development: Is there scalability and robustness to gain?. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 3242, 391-400. doi:10.1007/978-3-540-30217-9_40
  Article. View online.
• Koopman, A., & Roggen, D. (2004). Evolving genetic regulatory networks for hardware fault tolerance. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 3242, 561-570. doi:10.1007/978-3-540-30217-9_57
  Article. View online.

2003

• Tempesti, G., Roggen, D., Sanchez, E., Thoma, Y., Canham, R., & Tyrrell, A. M. (2003). Ontogenetic development and fault tolerance in the POEtic tissue. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) Vol. 2606 (pp. 141-152). doi:10.1007/3-540-36553-2_13
  Conference publication. View online.
• Roggen, D., Floreano, D., & Mattiussi, C. (2003). A morphogenetic evolutionary system: Phylogenesis of the poetic circuit. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) Vol. 2606 (pp. 153-164). doi:10.1007/3-540-36553-2_14
  Conference publication. View online.
• Roggen, D., Hofmann, S., Thoma, Y., & Floreano, D. (2003). Hardware spiking neural network with run-time reconfigurable connectivity in an autonomous robot. In Proceedings - NASA/DoD Conference on Evolvable Hardware, EH Vol. 2003-January (pp. 199-208). doi:10.1109/EH.2003.1217666
  Conference publication. View online.

Unpublished works

• Ciliberto, M., Cuspinera, L. P., & Roggen, D. (2019, May 30). WLCSSLearn: learning algorithm for template matching-based gesture recognition systems. In ICIEV-&-ICIVPR 2019 Vol. 1 (pp. 91-96). Spokane, Eastern Washington University, USA: Institute of Electrical and Electronics Engineers. doi:10.1109/ICIEV.2019.8858539
  Conference publication. View on figshare.
• Richoz, S., Ciliberto, M., Wang, L., Birch, P., Gjoreski, H., Perez-Uribe, A., & Roggen, D. (2019, May 30). Human and machine recognition of transportation modes from body-worn camera images. In International Conference on Activity and Behavior Computing Vol. 1 (pp. 67-72). Spokane, Eastern Washington University, USA: Institute of Electrical and Electronics Engineers. doi:10.1109/ICIEV.2019.8858537
  Conference publication. View on figshare.