Application of the Emotion Estimation Method Based on Classification of Expression Type in Laban Feature Values to Design Creation

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Other Title
  • ラバン特徴量の表出タイプ分類に基づく感情推定手法のデザイン制作への適用

Abstract

With the development of human sensing technology and AI technology, much research of emotion recognition has been conducted. We have already proposed an emotion estimation method from natural body movement based on Laban Movement Analysis. In this study, we applied the proposed method to the scene of design creation where creative work is performed using PC. First, we extracted and analyzed the evoked emotions in the design creation using SONY FES Watch U based on the evaluation grid method, and constructed an emotion model. Next, using the constructed emotion model,we performed a measurement experiment of a dataset in which the body movement is associated with the emotion. By using this dataset, we classified three emotional expression types based on only the motion characteristics. We achieved about 87% estimation accuracy for individuals. Nevertheless, average estimation accuracy for emotional expression types was 18%.

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Details 詳細情報について

  • CRID
    1390570630077205376
  • NII Article ID
    130008077659
  • DOI
    10.11184/his.23.3_359
  • ISSN
    21868271
    13447262
  • Text Lang
    ja
  • Data Source
    • JaLC
    • CiNii Articles
    • KAKEN
  • Abstract License Flag
    Disallowed

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