| Deep convolutional and lstm recurrent neural networks for multimodal wearable activity recognition FJ Ordóñez, D Roggen Sensors 16 (1), 115, 2016 | 2813 | 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 | 929 | 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 | 834 | 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 | 827 | 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 | 476 | 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 | 433 | 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 | 286 | 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 | 268 | 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 | 222 | 2009 |
| Flexible sensors—from materials to applications JC Costa, F Spina, P Lugoda, L Garcia-Garcia, D Roggen, ... Technologies 7 (2), 35, 2019 | 201 | 2019 |
| 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 | 178 | 2019 |
| 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 | 167 | 2016 |
| 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 | 167 | 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 | 165 | 2007 |
| 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 | 141 | 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 | 129 | 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 | 128 | 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 | 126 | 2008 |
| 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 | 123 | 2013 |
| 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 | 122 | 2011 |
Dr. Alberto CalatroniSensoryx AGE-mail megerősítve itt: sensoryx.tech
