| Detecting leisure activities with dense motif discovery E Berlin, K Van Laerhoven Proceedings of the 2012 ACM Conference on Ubiquitous Computing, 250-259, 2012 | 98 | 2012 |
| Towards Benchmarked Sleep Detection with Inertial Wrist-worn Sensing Units M Borazio, E Berlin, N Kücükyildiz, P Scholl, K Van Laerhoven | 63* | 2014 |
| Beyond activity recognition: skill assessment from accelerometer data A Khan, S Mellor, E Berlin, R Thompson, R McNaney, P Olivier, T Plötz Proceedings of the 2015 ACM international joint conference on pervasive and …, 2015 | 60 | 2015 |
| Sensor networks for railway monitoring: Detecting trains from their distributed vibration footprints E Berlin, K Van Laerhoven 2013 IEEE International Conference on Distributed Computing in Sensor …, 2013 | 54 | 2013 |
| Coming to grips with the objects we grasp: detecting interactions with efficient wrist-worn sensors E Berlin, J Liu, K Van Laerhoven, B Schiele Proceedings of the fourth international conference on Tangible, embedded …, 2010 | 48 | 2010 |
| Enhancing accelerometer-based activity recognition with capacitive proximity sensing T Grosse-Puppendahl, E Berlin, M Borazio Ambient Intelligence: Third International Joint Conference, AmI 2012, Pisa …, 2012 | 34 | 2012 |
| Enabling efficient time series analysis for wearable activity data K Van Laerhoven, E Berlin, B Schiele 2009 International Conference on Machine Learning and Applications, 392-397, 2009 | 34 | 2009 |
| An on-line piecewise linear approximation technique for wireless sensor networks E Berlin, K Van Laerhoven IEEE Local Computer Network Conference, 905-912, 2010 | 22 | 2010 |
| When else did this happen? Efficient subsequence representation and matching for wearable activity data K Van Laerhoven, E Berlin 2009 International Symposium on Wearable Computers, 101-104, 2009 | 20 | 2009 |
| An industrial analytics approach to predictive maintenance for machinery applications CP Gatica, M Koester, T Gaukstern, E Berlin, M Meyer 2016 IEEE 21st international conference on emerging technologies and factory …, 2016 | 17 | 2016 |
| Low-power lessons from designing a wearable logger for long-term deployments E Berlin, M Zittel, M Bräunlein, K Van Laerhoven 2015 IEEE Sensors Applications Symposium (SAS), 1-6, 2015 | 12 | 2015 |
| Trainspotting: Combining Fast Features to Enable Detection on Resource-constrained Sensing Devices E Berlin, K Van Laerhoven The Ninth International Conference on Networked Sensing Systems (INSS 2012), 8, 2012 | 10 | 2012 |
| Assessing activity recognition feedback in long-term psychology trials M Dietrich, E Berlin, K Van Laerhoven Proceedings of the 14th International Conference on Mobile and Ubiquitous …, 2015 | 3 | 2015 |
| Early Abstraction of Inertial Sensor Data for Long-Term Deployments E Berlin Technische Universität Darmstadt, 2014 | 1 | 2014 |
| Whac-a-bee: A sensor network game E Berlin, K Van Laerhoven, B Schiele, P Guerrero, A Herzog, D Jacobi, ... 7th ACM Conference on Embedded Networked Sensor Systems (SenSys 2010), 333-334, 2009 | 1 | 2009 |
| An Empirical Study of Time Series Approximation Algorithms for Wearable Accelerometers E Berlin | 1 | 2009 |
| How did I do? Automatic Skill Assessment from Activity Data A Khan, E Berlin, S Mellor, R Thompson, N Hammerla, R McNaney, ... GetMobile: Mobile Computing and Communications 19 (4), 18-22, 2016 | | 2016 |
| How did I do? Automatic Skill Assessment from Accelerometer Data A Khan, E Berlin, S Mellor, R Thompson, N Hammerla, R McNaney, ... ACM GetMobile, 2015 | | 2015 |
| Early Abstraction of Inertial Sensor Data for Long-term Deployments: Frühe Abstraktion Von Inertialsensordaten Für Langzeit-Anwendungen E Berlin | | 2014 |
| Optimizing Wearable Sensors under Technical and Usability Constraints E Berlin, K Van Laerhoven, B Schiele | | |
Kristof Van LaerhovenUniversity of SiegenVerified email at eti.uni-siegen.de
