Recognizing User Context via Wearable Sensors

	This Article
	Subscribers, please Login Purchase article: $19 PDF IEEE Xplore Subscribers RSS feed
	Share
	Email this Article to a friend
	Bibliographic References
	ASCII Text BibTex RefWorks Procite/RefMan/Endnote
	Add to:
	Digg Furl Spurl Blink Simpy Google Del.icio.us Y!MyWeb
	Search
	Similar Articles Articles by Brian Clarkson Articles by Alex Pentland Articles by Kenji Mase

Fourth International Symposium on Wearable Computers (ISWC'00)

Atlanta, Georgia

October 18-October 21

ISBN: 0-7695-0795-6

	ASCII Text	x
	Brian Clarkson, Alex Pentland, Kenji Mase, "Recognizing User Context via Wearable Sensors," Wearable Computers, IEEE International Symposium, pp. 69, Fourth International Symposium on Wearable Computers (ISWC'00), 2000.

	BibTex	x
	@article{ 10.1109/ISWC.2000.888467, author = {Brian Clarkson and Alex Pentland and Kenji Mase}, title = {Recognizing User Context via Wearable Sensors}, journal ={Wearable Computers, IEEE International Symposium}, volume = {0}, year = {2000}, issn = {1530-0811}, pages = {69}, doi = {http://doi.ieeecomputersociety.org/10.1109/ISWC.2000.888467}, publisher = {IEEE Computer Society}, address = {Los Alamitos, CA, USA}, }

	RefWorks Procite/RefMan/Endnote	x
	TY - CONF JO - Wearable Computers, IEEE International Symposium TI - Recognizing User Context via Wearable Sensors SN - 1530-0811 SP EP A1 - Brian Clarkson, A1 - Alex Pentland, A1 - Kenji Mase, PY - 2000 KW - contextual computing KW - peripheral sensing KW - Hidden Markov Models (HMM) KW - computer vision KW - computer audition KW - wearable computing VL - 0 JA - Wearable Computers, IEEE International Symposium ER -

Brian Clarkson, Massachusetts Institute of Technology

Alex Pentland, Massachusetts Institute of Technology

Kenji Mase, Advanced Telecommunications Research

DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/ISWC.2000.888467

We describe experiments in recognizing a person's situation from only a wearable camera and microphone. The types of situations considered in these experiments are coarse locations (such as at work, in a subway or in a grocery store) and coarse events (such as in a conversation or walking down a busy street) that would require only global, non-attentional features to distinguish them.

Index Terms:

contextual computing, peripheral sensing, Hidden Markov Models (HMM), computer vision, computer audition, wearable computing

Citation:

Brian Clarkson, Alex Pentland, Kenji Mase, "Recognizing User Context via Wearable Sensors," iswc, pp.69, Fourth International Symposium on Wearable Computers (ISWC'00), 2000

Peer Review Notice | Give Us Feedback

Usage of this product signifies your acceptance of the Terms of Use.