Learning to Detect User Activity and Availability from a Variety of Sensor Data

P
PERCOM
2004
Second IEEE International Conference on Pervasive Computing and Communications (PerCom'04)
Abstract - Learning to Detect User Activity and Availability from a Variety of Sensor Data

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Second IEEE International Conference on Pervasive Computing and Communications (PerCom'04)

Orlando, Florida

March 14-March 17

ISBN: 0-7695-2090-1

	ASCII Text	x
	Martin M?hlenbrock, Oliver Brdiczka, Dave Snowdon, Jean-Luc Meunier, "Learning to Detect User Activity and Availability from a Variety of Sensor Data," Pervasive Computing and Communications, IEEE International Conference on, pp. 13, Second IEEE International Conference on Pervasive Computing and Communications (PerCom'04), 2004.

	BibTex	x
	@article{ 10.1109/PERCOM.2004.1276841, author = {Martin M?hlenbrock and Oliver Brdiczka and Dave Snowdon and Jean-Luc Meunier}, title = {Learning to Detect User Activity and Availability from a Variety of Sensor Data}, journal ={Pervasive Computing and Communications, IEEE International Conference on}, volume = {0}, year = {2004}, isbn = {0-7695-2090-1}, pages = {13}, doi = {http://doi.ieeecomputersociety.org/10.1109/PERCOM.2004.1276841}, publisher = {IEEE Computer Society}, address = {Los Alamitos, CA, USA}, }

	RefWorks Procite/RefMan/Endnote	x
	TY - CONF JO - Pervasive Computing and Communications, IEEE International Conference on TI - Learning to Detect User Activity and Availability from a Variety of Sensor Data SN - 0-7695-2090-1 SP EP A1 - Martin M?hlenbrock, A1 - Oliver Brdiczka, A1 - Dave Snowdon, A1 - Jean-Luc Meunier, PY - 2004 KW - null VL - 0 JA - Pervasive Computing and Communications, IEEE International Conference on ER -

Martin M?hlenbrock, Xerox Research Centre Europe, Meylan, France

Oliver Brdiczka, Xerox Research Centre Europe, Meylan, France

Dave Snowdon, Xerox Research Centre Europe, Meylan, France

Jean-Luc Meunier, Xerox Research Centre Europe, Meylan, France

DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/PERCOM.2004.1276841

Using a networked infrastructure of easily available sensors and context-processing components, we are developing applications for the support of workplace interactions. Notions of activity and availability are learned from labeled sensor data based on a Bayesian approach. The higher-level information on the users is then automatically derived from low-level sensor information in order to facilitate informal ad hoc communications between peer workers in an office environment.

Citation:

Martin M?hlenbrock, Oliver Brdiczka, Dave Snowdon, Jean-Luc Meunier, "Learning to Detect User Activity and Availability from a Variety of Sensor Data," percom, pp.13, Second IEEE International Conference on Pervasive Computing and Communications (PerCom'04), 2004

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