利用热释电红外信号进行人体动作形态识别

利用配置有菲涅尔透镜的热释电红外探测器接收人体发出的红外辐射,通过采集、分析探测器输出模拟信号的时、频域特征,提取人体动作形态的信息.对人体原地踏步、跳跃等动作形态进行了实验.实验结果表明,探测信号中所包含的人体动作信息与探测距离的关系不大.通过分析信号的时、频域特征,可很好地提取出人体踏步、原地跳跃等运动特征.在此基础上,设计了一种快速寻峰检测算法,实现了一套可以实时监测人体踏步、原地跳跃等动作形态的实验系统.

Discrimination of Human Motor Patterns by Pyroelectric Infrared Signals

The infrared radiation emitted from human body was received by a pyroelectric infrared (PIR) detector in combination with a Fresnel lens. The output analog signal of the detector was sampled. Signal features of both time-domain and frequency-domain were analyzed to extract the information corresponding to human motor patterns. Experiments of stepping and jumping motion on the same place were carried out. The experimental results indicate that the human motion information carried in the detection signals is insensitive to the detection distance. Features of human motion patterns, including stepping and jumping on the same place can be satisfactorily extracted by processing the signal in time and frequency domains. In addition, a kind of fast peak finding algorithm was designed. An experimental system was implemented for monitoring the human walking and jumping actions.