摘要
人体动作检测广泛应用于人机交互、智能安防、军事情报等领域,该文利用热释电红外传感器对人体红外辐射灵敏的感应,通过设计信号调理及采集电路,搭建实验平台对传感器输出信号进行采集分析,在时域和频域中进行运动特征的提取算法设计,实现人体运动形态的检测。该文以踏步过程中跳跃动作的提取为例,介绍了整个设计过程。该人体检测方法具有成本低,抗干扰能力强等优势,对人体检测领域研究有重要的参考价值。
The detection of human motion is widely used in the interaction of human-computer,intelligent security,military intelligence and other fields.In this paper,an experiment platform is set up to gather and analyze the output signals of sensor with the design of signal conditioning and acquisition circuit by making use of the feature of the pyroelectric infrared sensor sensitive to the infrared radiation of human body.In the time and frequency domains,the motion feature extraction algorithm is designed to realize the detection of human motion patterns.The whole design process is introduced by taking the process of step jump extraction as an example.The proposed detection method has the advantages of low cost,high anti-interference ability,which has important value for the researching of the human detection.
出处
《压电与声光》
CSCD
北大核心
2017年第4期610-613,共4页
Piezoelectrics & Acoustooptics
基金
国家自然科学基金资助项目
关键词
热释电红外传感器
采集电路
算法设计
运动形态检测
抗干扰能力
pyroelectric infrared sensor
acquisition circuit
algorithm design
motion pattern detection
anti-interference ability
