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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Committee IN
Conference Date 2014/1/16(1days)
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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