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摘要: 基于可穿戴式惯性传感器（Inertial sensor unit，IMU）的人体运动跟踪技术具有佩戴方便、运动空间不受限和成本低等优点，已广泛应用于医疗康复、体育竞技、人机交互和虚拟现实等领域.本文对惯性式人体运动跟踪技术的发展历史、研究现状以及典型方法进行了较为全面的梳理和总结，主要包括人体运动学模型和生物学约束，传感器初始对准方法，传感器种类，传感器误差处理以及数据融合方法，并概述相关方法应用于实际的现状.最后，总结了该领域待解决的难点问题，并对未来的发展趋势进行了展望.Abstract: Human motion tracking based on wearable inertial sensors has the advantages of convenient wearing, unrestricted motion space and low cost. It has found wide applications in medical treatment, sports, human-machine interaction, virtual reality and other fields. A detail overview of the history, the state of the art, and typical methods are given in this paper. Special attention is paid to the following areas:human kinematics models and biological constraints, sensor-to-segment calibration, sensor technology, sensor interference handling, information fusion methods, and the relevant applications. Finally, the outstanding issues are summarized, and the future trends of this field are discussed.
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Key words:
- Human motion tracking /
- wearable inertial sensors /
- kinematics /
- information fusion
1) 本文责任编委 郭戈 -
图 1 基于惯性传感器的人体运动跟踪系统示意图
Fig. 1 Diagram of human motion tracking system based on inertial sensors
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