Human infrared signal recognition using single PIR detector

摘要：

A human recognition approach based on pyroelectric infrared (PIR) signal is proposed. The wavelet packet entropy (WPE) is employed for extracting the features of PIR signals, and then the least square support vector machine (LS-SVM) classifier is used as classifier. Relying on this approach, robust human recognition can be achieved with single PIR detector. The experiments show that the recognition rate is 91.2％, 1.3％ higher than that of the traditional approach, meanwhile, the false alarm rate is reduced more than 4.0％.

关键词： pyroelectric sensor pattern recognition signal processing wavelet packet entropy

作者: Linhong Wang

作者单位: Chongqing College of Electrical Engineering Chongqing, China

会议类型: 国际会议

会议名称: 2011 4th International Congress on Image and Signal Processing(第四届图像与信号处理国际学术会议 CISP 2011)

会议地点: 上海

会议语种:英文

页码: 2695-2699

在线出版日期: 2011-10-15（万方平台首次上网日期，不代表论文的发表时间）