Human Dangerous Action Detection Based on Kinect
Abstract: In view of the health and safety of the elderly in the family environment, a human dangerous action detection method based on Kinect skeletal data is proposed. The action that will directly damage human body or presage the happening of dangerous situation is defined as dangerous action by the analysis of human behavior in daily life. The head position of human body is obtained by using Kinect sensor and the change of head position in different action modes is analyzed. The action mode of human body is classified by support vector machine classifier according to the changes of head position as hazardous motion detection features so that the dangerous action in daily home environment can be effectively detected. Compared with the method based on the velocity of the head, misjudgment and false negative phenomenon are significantly reduced, and this method has good scalability and high recognition accuracy.
文章引用: 李晓林 , 吕周南 , 孙凤池 (2016) 基于Kinect的人体危险动作检测。 传感器技术与应用， 4， 8-14. doi: 10.12677/JSTA.2016.41002
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