Követés
Daniel Roggen
Daniel Roggen
University of Sussex
E-mail megerősítve itt: ieee.org - Kezdőlap
Cím
Hivatkozott rá
Hivatkozott rá
Év
Deep convolutional and lstm recurrent neural networks for multimodal wearable activity recognition
FJ Ordóñez, D Roggen
Sensors 16 (1), 115, 2016
26032016
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
8422010
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
7832009
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
7662013
Wearable activity tracking in car manufacturing
T Stiefmeier, D Roggen, G Ogris, P Lukowicz, G Tröster
IEEE Pervasive Computing 7 (2), 42-50, 2008
4662008
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
4162008
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
2732012
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
2352018
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
2212009
Flexible sensors—from materials to applications
JC Costa, F Spina, P Lugoda, L Garcia-Garcia, D Roggen, ...
Technologies 7 (2), 35, 2019
1792019
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
1592016
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
1592010
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
1592007
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
1512019
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
1372014
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
1262011
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
1262009
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
1242008
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
1222011
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
1172013
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