ロボティクス・メカトロニクス講演会講演概要集
Online ISSN : 2424-3124
セッションID: 1P1-E20
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Azure Kinectを用いた陸上競技における運動フォームの解析について
*山田 貴史近藤 甲斐岡田 七海江見 心
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Conventional methods for motion capture require wearing special suits with markers attached to the body surface, and multiple cameras to capture images simultaneously. In this study, the Microsoft Azure Kinect, a ToF-based depth camera developed for video games, was used for motion capture. Kinect makes it possible to measure the distance from camera to object surface in detail with an accuracy of less than 1 mm. Using this depth data obtained by Kinect, motion capture can be performed without markers. Actually, scenes of hurdle jumping outdoors were captured, and the differences in form between advanced and beginner athletes were analyzed and discussed.

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