Activity Recognition and Monitoring Using Multiple Sensors on Different Body Positions

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	Similar Articles Articles by Uwe Maurer Articles by Asim Smailagic Articles by Daniel P. Siewiorek Articles by Michael Deisher

International Workshop on Wearable and Implantable Body Sensor Networks (BSN'06)

Cambridge, Massachusetts, U.S.A

April 03-April 05

ISBN: 0-7695-2547-4

	ASCII Text	x
	Uwe Maurer, Asim Smailagic, Daniel P. Siewiorek, Michael Deisher, "Activity Recognition and Monitoring Using Multiple Sensors on Different Body Positions," Wearable and Implantable Body Sensor Networks, International Workshop on, pp. 113-116, International Workshop on Wearable and Implantable Body Sensor Networks (BSN'06), 2006.

	BibTex	x
	@article{ 10.1109/BSN.2006.6, author = {Uwe Maurer and Asim Smailagic and Daniel P. Siewiorek and Michael Deisher}, title = {Activity Recognition and Monitoring Using Multiple Sensors on Different Body Positions}, journal ={Wearable and Implantable Body Sensor Networks, International Workshop on}, volume = {0}, year = {2006}, isbn = {0-7695-2547-4}, pages = {113-116}, doi = {http://doi.ieeecomputersociety.org/10.1109/BSN.2006.6}, publisher = {IEEE Computer Society}, address = {Los Alamitos, CA, USA}, }

	RefWorks Procite/RefMan/Endnote	x
	TY - CONF JO - Wearable and Implantable Body Sensor Networks, International Workshop on TI - Activity Recognition and Monitoring Using Multiple Sensors on Different Body Positions SN - 0-7695-2547-4 SP113 EP116 A1 - Uwe Maurer, A1 - Asim Smailagic, A1 - Daniel P. Siewiorek, A1 - Michael Deisher, PY - 2006 KW - null VL - 0 JA - Wearable and Implantable Body Sensor Networks, International Workshop on ER -

Uwe Maurer, Technische Universitat Munchen, Germany

Asim Smailagic, Carnegie Mellon University, Pittsburgh

Daniel P. Siewiorek, Carnegie Mellon University, Pittsburgh

Michael Deisher, Intel, Hillsboro, OR

DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/BSN.2006.6

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.

Citation:

Uwe Maurer, Asim Smailagic, Daniel P. Siewiorek, Michael Deisher, "Activity Recognition and Monitoring Using Multiple Sensors on Different Body Positions," bsn, pp.113-116, International Workshop on Wearable and Implantable Body Sensor Networks (BSN'06), 2006

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