Presentation | 2014-09-11 Stress Behavior Estimation using Smartphone Shuhei Soshino, Eiji Kamioka, |
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Abstract(in Japanese) | (See Japanese page) |
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. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | Acceleration sensor / Gesture Identification / Machine Learning / Artificial Neural Network / DP Matching |
Paper # | MoNA2014-31 |
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Committee | MoNA |
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Conference Date | 2014/9/4(1days) |
Place (in Japanese) | (See Japanese page) |
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Topics (in Japanese) | (See Japanese page) |
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Paper Information | |
Registration To | Mobile Network and Applications(MoNA) |
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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 |
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