手机加速度计的行人行进状态识别Pedestrian movement status identification based on mobile phone attitude sensor
刘清华;郭英;郎爱坤;冯茗扬;孙建立;
摘要(Abstract)：
针对行人在行进过程中会出现后退而导致对行人航位轨迹的错误判断问题,该文以手机内加速度传感器信号为数据依据,以识别行人正常前进中的后退状态为研究目标,研究三轴信号的均值、方差、轴间协方差等时域特征,采用经验模态分解、最大相关最小冗余、最小二乘支持向量机等方法,识别行人实时的前进或后退。研究结果表明:两人将手机置于不同位置,分别采集前进中出现不同后退步数的实验数据,以一组为建模数据,识别其他情况的运动状态,其识别平均成功率达96.00%,具有较大的理论参考价值。
关键词(KeyWords)： 经验模态分解;最大相关最小冗余;最小二乘支持向量机;行人行进状态
基金项目(Foundation):
作者(Authors): 刘清华;郭英;郎爱坤;冯茗扬;孙建立;
DOI: 10.16251/j.cnki.1009-2307.2020.06.002
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