Emotion Recognition of a Speaker Using Facial Expression Intensity of Thermal Image and Utterance Time

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  • Oka Yuuki
    NTT DATA Financial Solutions Corp.
  • Yoshitomi Yasunari
    Graduate School of Life and Environmental Sciences, Kyoto Prefectural University
  • Asada Taro
    Graduate School of Life and Environmental Sciences, Kyoto Prefectural University
  • Tabuse Masayoshi
    Graduate School of Life and Environmental Sciences, Kyoto Prefectural University

説明

Herein, we propose a method for recognizing human emotions that utilizes the standardized mean value of facial expression intensity obtained from a thermal image and the standardized mean value of the time at utterance. In this study, the emotions of one subject could be discerned with 76.5% accuracy when speaking 23 kinds of utterances while intentionally displaying the five emotions of "anger," "happiness," "neutrality," "sadness," and "surprise."

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