Activity Recognition and Monitoring Using Multiple Sensors on Different Body Positions [report]

Uwe Maurer, Asim Smailagic, Daniel P. Siewiorek, Michael Deisher
2006 unpublished
The design of an activity recognition and monitoring system based on the eWatch, multi-sensor platform worn on different body positions, is presented in this paper. The system identifies the user's activity in realtime using multiple sensors and records the classification results during a day. We compare multiple time domain feature sets and sampling rates, and analyze the tradeoff between recognition accuracy and computational complexity. The classification accuracy on different body positions
more » ... rent body positions used for wearing electronic devices was evaluated.
doi:10.21236/ada534437 fatcat:urhj5bktgbayljcv3zrwfxseoe