Human Gait Recognition Using Micro-Doppler Features

摘要：

The motion of the human limbs results in the unique micro Doppler features which can be used for classification and recognition of different gaits. In this paper, a general human model, together with motion capture data of human motion, is displayed to calculate the expected radar echo and spectrogram of the target Then the echoes of human torso and limbs are separated based on Chirplet signal representation. The cadence of human motion is extracted from the echo of the limbs to classify the different human gaits. Finally the validity of this feature is verified by computer simulation.

关键词： micro-doppler gait recognition cadence Chirplet signal representation

作者: Li Fei Huang Binke Zhang Hang Du Hao

作者单位: The 54th Research institute of CETC Shijiazhuang China School of Electronics and Information Engineering, Xi an Jiaotong University ,Xian China Science and Technology on Information Transmission and Dissemination in Communication Networks Labor

会议类型: 国际会议

会议名称: 2012 5th Global Symposium on Millimeter-Waves(2012年第五届全球毫米波会议 GSMM 2012)

会议地点: 哈尔滨

会议语种:英文

页码: 331-335

在线出版日期: 2012-05-27（万方平台首次上网日期，不代表论文的发表时间）