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<p>This study analyzed the characteristics of the Kinect sensor developed for video games as a motion capture device. In addition, a calibration method was developed using deep learning technique to improve the precision of the Kinect while maintaining its convenience: no marker, low cost, easy-to-install, etc. When the proposed calibration scheme was applied to four types of arm exercises for three subjects, measurement errors were reduced by 68 % for shoulder movements and 43 % for elbow movements. Also, the measurement precision for shoulder flexion and abduction was improved up to 4 degrees, which sufficiently satisfied the requirement of rehabilitation exercises for patients with frozen shoulder.</p>

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Precision analysis of kinect to measure the motion of the upper body and calibration based on deep learning

  • 期刊论文

  • 发表日期：

    2025年5月31日

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  • Seulki Kyeong,
  • Yundong Kim,
  • Philip Abunya,
  • Bong-Soo Kang

摘要

This study analyzed the characteristics of the Kinect sensor developed for video games as a motion capture device. In addition, a calibration method was developed using deep learning technique to improve the precision of the Kinect while maintaining its convenience: no marker, low cost, easy-to-install, etc. When the proposed calibration scheme was applied to four types of arm exercises for three subjects, measurement errors were reduced by 68 % for shoulder movements and 43 % for elbow movements. Also, the measurement precision for shoulder flexion and abduction was improved up to 4 degrees, which sufficiently satisfied the requirement of rehabilitation exercises for patients with frozen shoulder.