Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 2008 · 12 citations · 0 references
EngineeringMechatronics EngineeringBiomedical Signal ProcessingMovement AnalysisTime Series AnalysisMotion CaptureRadar Signal ProcessingRadar SystemsSignal ProcessingHuman Motion AnalysisHuman Motion SimulationHuman Movement ClassificationMeasurementMeasurement Data ProcessingMicro-doppler AnalysisRadar Cross-sectionRadar Sensing
In this paper, human motion model and RCS (radar cross section) simulation of radar returns from human are investigated. Micro-Doppler signatures [1-6] induced by human motions are studied. It shows that the time-frequency representation of micro-Doppler signature provides distinctive time-varying features for human motions. Motion of different body part has different micro-Doppler signature. Thus, micro-Doppler can be a promising method for classifying human activities. Measurement data using an experimental X-band micro-Doppler radar were collected and the results are compared with the corresponding simulation results. The classification of human motions based on micro-Doppler signatures is also discussed.