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Time Series Analysis Based Human Fall Prediction Method
Pages: 273-279
Year: Issue:  2
Journal: Pattern Recognition and Artificial Intelligence

Keyword:  摔倒预测 时间序列 隐马尔可夫模型;
Abstract: 提出一种基于人体动作状态序列时序分析法的人体摔倒预测方法.融合特征部位加速度信息为时间序列,选取摔倒过程中人体与低势物体碰撞前的过程序列段作为样本训练隐马尔可夫模型(HMM),通过分析输入序列与HMM的匹配程度实时分析当前时刻人体摔倒的风险.实验证明该方法取得良好的预测效果,并且可有效区分摔倒过程与其它日常生活行为过程.
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