双状态机的自适应步态检测算法Adaptive gait detection algorithm based on dual state machine
路泽忠,卢小平,马靓婷,陶晓晓
摘要(Abstract)：
针对步态检测算法无法适应于不同的运动状态、不同传感器姿态问题,该文提出基于双状态机的自适应步态检测算法,该方法在原算法基础上利用最大整体加速度阈值对状态机进行状态分割,并利用时间阈值和整体加速度阈值对状态机进行二次判断。通过四类步态检测算法的比较实验,常规峰值检测算法、状态机步态检测算法在行人行走状态下步态检测精度均优于99%,而在行人跑步状态和行走+跑步状态的步态检测精度仅为60%和70%,无法适应行人的不同运动状态;本文算法在不同行人运动状态、不同传感器姿态下均具有较强的适应性和可靠的步态检测正确率。
关键词(KeyWords)： 行人航迹推算;峰值检测算法;自相关分析法;状态机;最大整体加速度
基金项目(Foundation): 2016年国家重点研发计划项目（2016YFC0803103）;; 河南省高校创新团队支持计划项目（14IRTSTHN026）;; 河南省创新型科技创新团队支持计划项目
作者(Author): 路泽忠,卢小平,马靓婷,陶晓晓
DOI: 10.16251/j.cnki.1009-2307.2021.01.008
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