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<p>Human motion intent prediction (HMIP) combines data sources, feature extraction, modeling and prediction algorithms, etc., which is the key for providing artificial intelligent assistance and protection from intelligent wearable systems. HMIP has been intensively explored. A timely and comprehensive overview of this field is provided. Several main aspects are covered: biomechanical features of human motion, architecture of intelligent wearable systems, data processing and algorithm designs, application scenarios and challenges.</p><p></p>

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Recent advances in intelligent wearable systems: from multiscale biomechanical features towards human motion intent prediction

  • 期刊论文

  • 出版模式：

    开放获取

  • 发表日期：

    2026年3月7日

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  • Shijia Chen,
  • Chang Peng,
  • Bao Yang,
  • Jiaxiang Lin,
  • Licheng Zhou,
  • Zhenyu Jiang,
  • Zejia Liu,
  • Yiping Liu,
  • Liqun Tang

摘要

Human motion intent prediction (HMIP) combines data sources, feature extraction, modeling and prediction algorithms, etc., which is the key for providing artificial intelligent assistance and protection from intelligent wearable systems. HMIP has been intensively explored. A timely and comprehensive overview of this field is provided. Several main aspects are covered: biomechanical features of human motion, architecture of intelligent wearable systems, data processing and algorithm designs, application scenarios and challenges.