| 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 |
| 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 |
| Prediction of freezing of gait in Parkinson's from physiological wearables: an exploratory study S Mazilu, A Calatroni, E Gazit, A Mirelman, JM Hausdorff, G Tröster IEEE journal of biomedical and health informatics 19 (6), 1843-1854, 2015 | 145 | 2015 |
| Review on deep neural networks applied to low-frequency nilm P Huber, A Calatroni, A Rumsch, A Paice Energies 14 (9), 2390, 2021 | 129 | 2021 |
| 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 |
| OPPORTUNITY: Towards opportunistic activity and context recognition systems D Roggen, K Forster, A Calatroni, T Holleczek, Y Fang, G Troster, ... 2009 IEEE International Symposium on a World of Wireless, Mobile and …, 2009 | 118 | 2009 |
| The role of wrist-mounted inertial sensors in detecting gait freeze episodes in Parkinson’s disease S Mazilu, U Blanke, A Calatroni, E Gazit, JM Hausdorff, G Tröster Pervasive and Mobile Computing 33, 1-16, 2016 | 76 | 2016 |
| The adarc pattern analysis architecture for adaptive human activity recognition systems D Roggen, K Förster, A Calatroni, G Tröster Journal of Ambient Intelligence and Humanized Computing 4, 169-186, 2013 | 70 | 2013 |
| The opportunity framework and data processing ecosystem for opportunistic activity and context recognition M Kurz, G Holzl, A Ferscha, A Calatroni, D Roggen, G Troster, H Sagha, ... International Journal of Sensors Wireless Communications and Control 1 (2 …, 2011 | 64 | 2011 |
| Recording a complex, multi modal activity data set for context recognition P Lukowicz, G Pirkl, D Bannach, F Wagner, A Calatroni, K Förster, ... 23th International Conference on Architecture of Computing Systems 2010, 1-6, 2010 | 64 | 2010 |
| Automatic transfer of activity recognition capabilities between body-worn motion sensors: Training newcomers to recognize locomotion A Calatroni, D Roggen, G Tröster Eighth international conference on networked sensing systems (INSS'11), 2011 | 63 | 2011 |
| Incremental kNN classifier exploiting correct-error teacher for activity recognition K Förster, S Monteleone, A Calatroni, D Roggen, G Troster 2010 ninth international conference on machine learning and applications …, 2010 | 61 | 2010 |
| Improving online gesture recognition with template matching methods in accelerometer data LV Nguyen-Dinh, D Roggen, A Calatroni, G Tröster 2012 12th International Conference on Intelligent Systems Design and …, 2012 | 53 | 2012 |
| Real-time transfer and evaluation of activity recognition capabilities in an opportunistic system M Kurz, G Hölzl, A Ferscha, A Calatroni, D Roggen, G Tröster machine learning 1 (7), 8, 2011 | 43 | 2011 |
| Kinect= imu? learning mimo signal mappings to automatically translate activity recognition systems across sensor modalities O Banos, A Calatroni, M Damas, H Pomares, I Rojas, H Sagha, JR Mill, ... 2012 16th International Symposium on Wearable Computers, 92-99, 2012 | 35 | 2012 |
| Sensor technology for ice hockey and skating M Hardegger, B Ledergerber, S Mutter, C Vogt, J Seiter, A Calatroni, ... 2015 IEEE 12th International Conference on Wearable and Implantable Body …, 2015 | 31 | 2015 |
| Robust online gesture recognition with crowdsourced annotations LV Nguyen-Dinh, A Calatroni, G Tröster The Journal of Machine Learning Research 15 (1), 3187-3220, 2014 | 29 | 2014 |
| S-SMART: A unified bayesian framework for simultaneous semantic mapping, activity recognition, and tracking M Hardegger, D Roggen, A Calatroni, G Tröster ACM Transactions on Intelligent Systems and Technology (TIST) 7 (3), 1-28, 2016 | 28 | 2016 |
| Soundfield rendering with loudspeaker arrays through multiple beam shaping F Antonacci, A Calatroni, A Canclini, A Galbiati, A Sarti, S Tubaro 2009 IEEE Workshop on Applications of Signal Processing to Audio and …, 2009 | 25 | 2009 |
