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An estimation system of psychological conditions based on a micro facial expression recognition method

Research Project

Project/Area Number 25870570
Research Category

Grant-in-Aid for Young Scientists (B)

Allocation TypeMulti-year Fund
Research Field Perceptual information processing
Kansei informatics
Research InstitutionTokyo University of Agriculture and Technology (2014)
Kagoshima University (2013)

Principal Investigator

AKAGI Yasuhiro  東京農工大学, 工学(系)研究科(研究院), 特任准教授 (90451989)

Project Period (FY) 2013-04-01 – 2015-03-31
Project Status Completed (Fiscal Year 2014)
Budget Amount *help
¥3,250,000 (Direct Cost: ¥2,500,000、Indirect Cost: ¥750,000)
Fiscal Year 2014: ¥780,000 (Direct Cost: ¥600,000、Indirect Cost: ¥180,000)
Fiscal Year 2013: ¥2,470,000 (Direct Cost: ¥1,900,000、Indirect Cost: ¥570,000)
Keywords表情認識 / 微表情 / トラッキング / 3次元点群 / 3次元点群 / 顔画像 / 認識 / 3次元形状 / 点群処理 / 特徴抽出
Outline of Final Research Achievements

A method for recognizing a micro expression which is a small motion appearing on a face by using a high density and high frame-rate 3D reconstruction method are developed. In order to verify the set of methods to identify the site of micro expression and its accuracy, as a simple recognition problem, vocalizing unknown words was assigned to be further analyzed mechanically. As a result, by using highly accurate data of the facial movement, we were able to identify feature parts that matches with the human mental state, and able to estimate at about 75% accuracy. On the other hand, if the accuracy of the face shape measurement was decreased by few 10mm and lower the frame rate to 20fps, recognition of the micro expression became troublesome.

Report

(3 results)
  • 2014 Annual Research Report   Final Research Report ( PDF )
  • 2013 Research-status Report
  • Research Products

    (4 results)

All 2014 2013

All Journal Article (1 results) (of which Peer Reviewed: 1 results) Presentation (3 results)

  • [Journal Article] Marker-less Facial Motion Capture based on the Parts Recognition2013

    • Author(s)
      Yasuhiro Akagi, Ryo Furukawa, Ryusuke Sagawa, Koichi Ogawara, Hiroshi Kawasaki,
    • Journal Title

      Journal of WSCG

      Volume: 21 Pages: 137-144

    • Related Report
      2013 Research-status Report
    • Peer Reviewed
  • [Presentation] A method of micro facial expression recognition based on dense facial motion data2014

    • Author(s)
      Yasuhiro Akagi, Hiroshi Kawasaki
    • Organizer
      22nd WSCG International Conference on Computer Graphics, Visualization and Computer Vision
    • Place of Presentation
      Plzen, Czech Republic
    • Year and Date
      2014-06-02 – 2014-06-05
    • Related Report
      2014 Annual Research Report
  • [Presentation] 顔の密な3 次元形状の微小変化を利用した認識手法2014

    • Author(s)
      赤木康宏
    • Organizer
      電子情報通信学会 パターン認識・メディア理解研究会
    • Place of Presentation
      東京、早稲田大学
    • Related Report
      2013 Research-status Report
  • [Presentation] A method of micro facial expression recognition based on dense facial motion data2014

    • Author(s)
      Yasuhiro Akagi
    • Organizer
      22nd WSCG International Conference in Central Europe on Computer Graphics, Visualization and Computer Vision 2014
    • Place of Presentation
      Pilsen, Czech Republic
    • Related Report
      2013 Research-status Report

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Published: 2014-07-25   Modified: 2019-07-29  

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