Presentation 2014-09-11
Stress Behavior Estimation using Smartphone
Shuhei Soshino, Eiji Kamioka,
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Abstract(in English) In modern societies, coping with stress is one of the most important issues. For detecting the stress, however, diagnosis by medical doctors or detection by biological information with specialized equipment, which is not used by consumers, is required. This study aims at user's stress detection based on his/her postures and behaviors by accelerometer and gyroscope built in smartphones focusing on his/her behaviors for relaxation of the muscles unconsciously performed when trying to relieve the stress. In this paper, how to recognize user's postures and behaviors and how to detect the user's stress will be proposed. In addition, the effectiveness of the proposed method will be discussed through an experiment.
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Keyword(in English) Acceleration sensor / Gesture Identification / Machine Learning / Artificial Neural Network / DP Matching
Paper # MoNA2014-31
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Committee MoNA
Conference Date 2014/9/4(1days)
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Registration To Mobile Network and Applications(MoNA)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Stress Behavior Estimation using Smartphone
Sub Title (in English)
Keyword(1) Acceleration sensor
Keyword(2) Gesture Identification
Keyword(3) Machine Learning
Keyword(4) Artificial Neural Network
Keyword(5) DP Matching
1st Author's Name Shuhei Soshino
1st Author's Affiliation Graduate School of Engineering and Science, Shibaura Institute of Technology()
2nd Author's Name Eiji Kamioka
2nd Author's Affiliation Graduate School of Engineering and Science, Shibaura Institute of Technology
Date 2014-09-11
Paper # MoNA2014-31
Volume (vol) vol.114
Number (no) 210
Page pp.pp.-
#Pages 6
Date of Issue