Research on Characteristic Eztraction of Human Gait
When a human walks, the motion of various components of the body including the head, torso, arms, legs, and feet produce a very characteristic Doppler signature. A new signal model of the walking human, based on the linear frequency modulated (LFM) signal, is proposed. This model contains 12 scatter-points of human, together with kinematic equations of motion of each body part. For each part of human body, an estimated radar cross section was assigned by the radar range equation. Short Time Fourier Transform (STFT) is used to obtain the humans spectrogram at first, from which the walking velocity can be estimated. Both a traditional method based on the cadence frequency and a new echo decomposition method are used to obtain the human gait frequency. Several unique features of human targets, like the height of human and so on, can be revealed by utilizing these parameters. Some simulations show that basic information extraction from spectrogram has some ability to identification human targets.
human gait micro-Doppler spectrogram cadence frequenc
Shan Yang Lingjiang Kong
Univ.of Electronic Science & Technology of China Chengdu,China
国际会议
北京
英文
1-4
2009-06-11（万方平台首次上网日期，不代表论文的发表时间）