Activity Recognition and Monitoring Using Multiple Sensors on Different Body Positions

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 used for wearing electronic devices was evaluated.

• Type: Conference
• Year: 2006
• Where: BSN
• Authors: Uwe Maurer, Asim Smailagic, Daniel P. Siewiorek, Michael Deisher
• Keywords: Activity Recognition, BSN 2006, Multi-sensor Platform, Recognition Accuracy, Sensor Networks