Recognizing user context via wearable sensors

Autor:	Alex Pentland, Kenji Mase, Brian Clarkson
Rok vydání:	2002
Předmět:	Grocery store Computer science Microphone business.industry media_common.quotation_subject Computer audition Wearable computer Context (language use) Conversation Computer vision Artificial intelligence Hidden Markov model business media_common
Zdroj:	ISWC
DOI:	10.1109/iswc.2000.888467
Popis:	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.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::89941deaeeae145d6381ee118a4969d9 https://doi.org/10.1109/iswc.2000.888467 Zobrazit plný text záznamu