Emotion Recognition by Pressure-Sensitive Conductive Clothes and Machine Learning

• KOSHINO Makoto

  Ishikawa National College of Technology

• YAMAMOTO Kohei

  Ishikawa National College of Technology

Bibliographic Information

Other Title

• 感圧導電性衣服と機械学習による情動認識

Abstract

Emotion is one of the important roles in communication. Emotion recognition by the computer has been studied. In this study, we tried to recognize the emotion that represents a strong emotional behavior and physiological changes in a short period of time. The body's movements as non-verbal behavior were measured by wearing a pressure-sensitive conductive clothes same as a feeling of common clothes. The emotion was recorded by the circumplex model of Russell represented on two axes of pleasure-unpleasure and arousing-sleepy. Emotion was recognized using machine learning by recording the movement and the emotion.

Journal

• Journal of Japan Society for Fuzzy Theory and Intelligent Informatics

  Journal of Japan Society for Fuzzy Theory and Intelligent Informatics 27 (6), 921-925, 2015

  Japan Society for Fuzzy Theory and Intelligent Informatics

Keywords

• Pressure-Sensitive Conductive Clothes
• Emotion Recognition
• Machine Learning
• Russell’s Circumplex Model

Details

• CRID: 1390282680163968768
• NII Article ID: 130005117054
• DOI: 10.3156/jsoft.27.921
• ISSN: 18817203
• ISSN: 13477986
• Web Site: https://www.jstage.jst.go.jp/article/jsoft/27/6/27_921/_pdf
• Text Lang: ja
• Data Source:
  • JaLC
  • Crossref
  • CiNii Articles
  • KAKEN
• Abstract License Flag: Disallowed