重心に着目した歩行中の方向転換動作の予測

Nene Sugimoto, Ami Ogawa, Akira Mita

研究成果: Article査読

抄録

This study revealed proper parameters to predict walking turns to-support the residents as a built environment function. We used a non contact sensor that did not disturb everyday life and aimed to extract highly versatile prediction parameters by considering the movement strategy and the rotation direction. After carefully examining the prediction accuracy for the center-of-gravity shift and the head and upper body rotation parameters, we found the position of the head’s center-of-gravity (Left-Right) and the head rotation (Yaw) were valuable indicators. The time needed for prediction was between 0.18 to 0.48 steps with a prediction accuracy of 70%.

寄稿の翻訳タイトルPREDICTION OF WALKING TURNS FOCUSING ON THE CENTER OF GRAVITY
本文言語Japanese
ページ(範囲)510-514
ページ数5
ジャーナルAIJ Journal of Technology and Design
28
68
DOI
出版ステータスPublished - 2022 2月 20

Keywords

  • Azure Kinect DK
  • Biofied building
  • Motion prediction
  • Non-contact sensor
  • Turning

ASJC Scopus subject areas

  • 建築
  • 建築および建設

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