Creating and benchmarking a new dataset for physical activity monitoring
Proceedings of the 5th International Conference on PErvasive Technologies Related to Assistive Environments
Confidence-based multiclass AdaBoost for physical activity monitoring
Proceedings of the 2013 International Symposium on Wearable Computers
Personalized mobile physical activity recognition
Proceedings of the 2013 International Symposium on Wearable Computers
Proceedings of the 2013 International Symposium on Wearable Computers
Towards robust activity recognition for everyday life: methods and evaluation
Proceedings of the 7th International Conference on Pervasive Computing Technologies for Healthcare
Hi-index | 0.00 |
This paper addresses the lack of a commonly used, standard dataset and established benchmarking problems for physical activity monitoring. A new dataset -- recorded from 18 activities performed by 9 subjects, wearing 3 IMUs and a HR-monitor -- is created and made publicly available. Moreover, 4 classification problems are benchmarked on the dataset, using a standard data processing chain and 5 different classifiers. The benchmark shows the difficulty of the classification tasks and exposes new challenges for physical activity monitoring.