In recent years, the recognition and analysis of human gaits have garnered significant interest in diverse applications such as biometrics, healthcare, and security. This paper presents a simulation study and analysis of limps of different severities and comparison with normal walking gait. Various limp gaits were simulated by adjusting some of the parameters in a well-known gait model developed for normal gait. Analysis was performed by extracting various metrics using the micro-Doppler features as well as the Hilbert-Huang model, which show differences for limping stages. It is conjectured that by combining micro-Doppler features with specific metrics derived from HHT analysis, it may be possible to detect the onset of limp gait and to assess its severity.
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