Daniel Roggen
Cited by
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Deep convolutional and lstm recurrent neural networks for multimodal wearable activity recognition
FJ Ordóńez, D Roggen
Sensors 16 (1), 115, 2016
Collecting complex activity datasets in highly rich networked sensor environments
D Roggen, A Calatroni, M Rossi, T Holleczek, K Förster, G Tröster, ...
2010 Seventh international conference on networked sensing systems (INSS …, 2010
Wearable assistant for Parkinson’s disease patients with the freezing of gait symptom
M Bachlin, M Plotnik, D Roggen, I Maidan, JM Hausdorff, N Giladi, ...
IEEE Transactions on Information Technology in Biomedicine 14 (2), 436-446, 2009
The Opportunity challenge: A benchmark database for on-body sensor-based activity recognition
R Chavarriaga, H Sagha, A Calatroni, ST Digumarti, G Tröster, JR Millán, ...
Pattern Recognition Letters 34 (15), 2033-2042, 2013
Wearable activity tracking in car manufacturing
T Stiefmeier, D Roggen, G Ogris, P Lukowicz, G Tröster
IEEE Pervasive Computing 7 (2), 42-50, 2008
Activity recognition from on-body sensors: accuracy-power trade-off by dynamic sensor selection
P Zappi, C Lombriser, T Stiefmeier, E Farella, D Roggen, L Benini, ...
Wireless Sensor Networks: 5th European Conference, EWSN 2008, Bologna, Italy …, 2008
Online detection of freezing of gait with smartphones and machine learning techniques
S Mazilu, M Hardegger, Z Zhu, D Roggen, G Tröster, M Plotnik, ...
2012 6th International Conference on Pervasive Computing Technologies for …, 2012
The university of sussex-huawei locomotion and transportation dataset for multimodal analytics with mobile devices
H Gjoreski, M Ciliberto, L Wang, FJO Morales, S Mekki, S Valentin, ...
IEEE Access 6, 42592-42604, 2018
Wearable EOG goggles: Seamless sensing and context-awareness in everyday environments
A Bulling, D Roggen, G Tröster
Journal of Ambient Intelligence and Smart Environments 1 (2), 157-171, 2009
Flexible sensors—from materials to applications
JC Costa, F Spina, P Lugoda, L Garcia-Garcia, D Roggen, ...
Technologies 7 (2), 35, 2019
A wearable system to assist walking of Parkinson s disease patients
M Bächlin, M Plotnik, D Roggen, N Giladi, JM Hausdorff, G Tröster
Methods of information in medicine 49 (01), 88-95, 2010
Activity recognition from on-body sensors by classifier fusion: sensor scalability and robustness
P Zappi, T Stiefmeier, E Farella, D Roggen, L Benini, G Troster
2007 3rd international conference on intelligent sensors, sensor networks …, 2007
Deep convolutional feature transfer across mobile activity recognition domains, sensor modalities and locations
FJO Morales, D Roggen
Proceedings of the 2016 ACM International Symposium on Wearable Computers, 92-99, 2016
Enabling reproducible research in sensor-based transportation mode recognition with the Sussex-Huawei dataset
L Wang, H Gjoreski, M Ciliberto, S Mekki, S Valentin, D Roggen
IEEE Access 7, 10870-10891, 2019
Exploring the acceptability of google glass as an everyday assistive device for people with parkinson's
R McNaney, J Vines, D Roggen, M Balaam, P Zhang, I Poliakov, P Olivier
Proceedings of the sigchi conference on human factors in computing systems …, 2014
Recognition of crowd behavior from mobile sensors with pattern analysis and graph clustering methods
D Roggen, M Wirz, G Tröster, D Helbing
arXiv preprint arXiv:1109.1664, 2011
Wearable EOG goggles: eye-based interaction in everyday environments
A Bulling, D Roggen, G Tröster
CHI'09 Extended Abstracts on Human Factors in Computing Systems, 3259-3264, 2009
It's in your eyes: towards context-awareness and mobile HCI using wearable EOG goggles
A Bulling, D Roggen, G Tröster
Proceedings of the 10th international conference on Ubiquitous computing, 84-93, 2008
Benchmarking classification techniques using the Opportunity human activity dataset
H Sagha, ST Digumarti, JR Millán, R Chavarriaga, A Calatroni, D Roggen, ...
2011 IEEE International Conference on Systems, Man, and Cybernetics, 36-40, 2011
Feature learning for detection and prediction of freezing of gait in Parkinson’s disease
S Mazilu, A Calatroni, E Gazit, D Roggen, JM Hausdorff, G Tröster
Machine Learning and Data Mining in Pattern Recognition: 9th International …, 2013
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