Context-aware mobile health monitoring: evaluation of different pattern recognition methods for classification of physical activity.

Abstract

There are various applications of physical activity monitoring for medical purposes, such as therapeutic rehabilitation, fitness enhancement or the use of physical activity as context information for evaluation of other vital data. Physical activity can be estimated using acceleration sensor-systems fixed on a person's body. By means of pattern recognition methods, it is possible to identify with certain accuracy which movement is being performed. This work presents a comparison of different methods for recognition of daily-life activities, which will serve as basis for the development of an online activity monitoring system.

DOI: 10.1109/IEMBS.2008.4650398

Cite this paper

@article{Jatoba2008ContextawareMH, title={Context-aware mobile health monitoring: evaluation of different pattern recognition methods for classification of physical activity.}, author={Luciana C. Jatoba and Ulrich Gro\ssmann and C. Kunze and J{\"{o}rg Ottenbacher and Wilhelm Stork}, journal={Conference proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual Conference}, year={2008}, volume={2008}, pages={5250-3} }