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Book Chapters

2022

L. Günthermann, L. Wang, I. Simpson, A. Philippides, and D. Roggen. Adversarial Learning in Accelerometer Based Transportation and Locomotion Mode Recognition. In R. Razavi-Far, A. Ruiz-Garcia, V. Palade, and J. Schmidhuber, editors, Generative Adversarial Learning: Architectures and Applications, pages 205-232. Springer, 2022. [ DOI ]

2020

L. Pellatt, A. Dewar, A. Philippides, and D. Roggen. Mapping Vicon Motion Tracking to 6-Axis IMU Data for Wearable Activity Recognition. In M.A.R.. Ahad, S. Inoue, D. Roggen, and K. Fujinami, editors, Activity and Behavior Computing, pages 3-20. Springer, 2020. [ DOI ]

L. Günthermann, A. Philippides, and D. Roggen. Improving Smartphone-Based Transport Mode Recognition Using Generative Adversarial Networks. In M.A.R. Ahad, S. Inoue, D. Roggen, and K. Fujinami, editors, Activity and Behavior Computing, pages 63-79. Springer, 2020. [ DOI ]

C. Templeman, F. J. Ordoñez Morales, M. Ciliberto, A. Symes, and D. Roggen. Lessons from Hands-Free Data Entry in Flexible Cystoscopy with Glass for Future Smart Assistance. In F. Chen, R. García-Betances, L. Chen, M. Cabrera-Umpiérrez, and C. Nugent, editors, Smart Assisted Living, chapter 4, pages 63-87. Springer, 2020. [ DOI ]

2019

L. Wang, H. Gjoreski, M. Ciliberto, M. Mekki, S. Valentin, and D. Roggen. Benchmark performance for the Sussex-Huawei locomotion and transportation recognition challenge 2018. In N. Kawaguchi, N. Nishio, D. Roggen, S. Inoue, S. Pirttikangas, and K. Van Laerhoven, editors, Human Activity Sensing: Corpus and Applications, chapter 11, pages 153-170. Springer, 2019. [ DOI ]

M. Ciliberto, L. Wang, and R. Roggen, D. Zillmer. Drinking gesture recognition from poorly annotated data: a case study. In N. Kawaguchi, N. Nishio, D. Roggen, S. Inoue, S. Pirttikangas, and K. Van Laerhoven, editors, Human Activity Sensing: Corpus and Applications, chapter 6, pages 71-89. Springer, 2019. [ DOI ]

2013

D. Roggen, A. Bulling, and G. Tröster. Signal processing technologies for activity-aware smart textiles. In T. Kirstein, editor, Multidisciplinary know-how for smart textiles developers, chapter 12, pages 329-365. Woodhead publishing, 2013. [ DOI ]

2011

M. Bächlin, M. Roggen, M. Plotnik, J. M. Hausdorff, and G. Tröster. Experiences in developing a wearable gait assistant for Parkinson's disease patients. In D. Lai, R. K. Begg, and M. Palaniswami, editors, Healthcare Sensor Networks Challenges Toward Practical Implementation. Taylor and Francis, CRC Press, 2011.

2004

D. Floreano, F. Mondada, A. Perez-Uribe, and D. Roggen. Evolution of Embodied Intelligence. In F. Iida, R. Pfeifer, L. Steels, and Y. Kuniyoshi, editors, Embodied Artificial Intelligence, pages 293-311. Springer-Verlag, 2004. [ DOI ]