Presentation	2014-01-23 Introduction to Sensing and Analysis Techniques for Human Activity Recognition Keiichi YASUMOTO,
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Abstract(in English)	Progress of sensing and context-awareness technologies has accelerated research on human activity recognition with commodity devices like a smartphone. However, recognizing high-level human activities (e.g., taking a meal, studying, etc) as well as human's internal states (e.g., emotions, physical fatigue, etc) has a lot of challenges and is still under development. In this talk, we briefly introduce a series of our studies on high-level human activity and user's internal states recognition.
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Keyword(in English)	Human Activity Recognition / User's Internal State Estimation / Analysis / Sensing / Machine Learning
Paper #	IN2013-124
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Conference Information
Committee	IN
Conference Date	2014/1/16(1days)
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Paper Information
Registration To	Information Networks (IN)
Language	JPN
Title (in Japanese)	(See Japanese page)
Sub Title (in Japanese)	(See Japanese page)
Title (in English)	Introduction to Sensing and Analysis Techniques for Human Activity Recognition
Sub Title (in English)
Keyword(1)	Human Activity Recognition
Keyword(2)	User's Internal State Estimation
Keyword(3)	Analysis
Keyword(4)	Sensing
Keyword(5)	Machine Learning
1st Author's Name	Keiichi YASUMOTO
1st Author's Affiliation	Graduate School of Information Science, Nara Institute of Science and Technology()
Date	2014-01-23
Paper #	IN2013-124
Volume (vol)	vol.113
Number (no)	389
Page	pp.pp.-
#Pages	6
Date of Issue