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Volumn 91, Issue 6, 2011, Pages 1448-1456

A new approach for classification of human gait based on time-frequency feature representations

Author keywords

Human walking; Micro Doppler signatures; Radar signals; Time frequency distributions

Indexed keywords

ARM MOVEMENTS; CARRYING OBJECTS; DOPPLER; DOPPLER FREQUENCY; HERMITE; HERMITE FUNCTIONS; HUMAN GAIT; HUMAN WALKING; LEG MOVEMENT; MICRO-DOPPLER; MULTI-WINDOW; MULTI-WINDOWS; NEW APPROACHES; RADAR DATA; RADAR SIGNALS; RELATIVE TIME; S-METHOD; SWINGING MOTIONS; TIME FREQUENCY ANALYSIS; TIME FREQUENCY FEATURES; TIME-FREQUENCY DISTRIBUTIONS; TIME-FREQUENCY REPRESENTATIONS;

EID: 79952008127     PISSN: 01651684     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.sigpro.2010.08.013     Document Type: Article
Times cited : (89)

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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.