A Skeleton Analysis Based Fall Detection Method Using ToF Camera
A Skeleton Analysis Based Fall Detection Method Using ToF Camera
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DOI：
10.1016/j.procs.2021.04.059
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发表时间：
2021
期刊：
影响因子：
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通讯作者：
Xiangbo Kong;T. Kumaki;Lin Meng;Hiroyuki Tomiyama
中科院分区：
文献类型：
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作者：
Xiangbo Kong;T. Kumaki;Lin Meng;Hiroyuki Tomiyama
老年人的数量每年都在增加。老年人跌倒检测已成为一个重要的研究课题。基于图像处理的跌倒检测被认为是一个很好的解决方案。然而，基于运动识别的算法很难区分摔倒的人和正在睡觉的人。该研究跟踪并分析了人体关节的运动速度，提高了跌倒检测的准确性。实验结果表明，该方法能有效区分跌倒和睡眠。
The number of the elderly person is increasing every year. Fall detection of the elderly has become an important research topic. Fall detection based on image processing is considered as a good solution. However, algorithms based on motion recognition are difficult to distinguish between a person who has fallen and a person who is sleeping. This research tracks and analyzes the motion speed of human joints, which improves the accuracy of fall detection. The experimental results prove that this method effectively distinguishes falling and sleeping.