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In this paper, we analyze the micro-Doppler signatures of elderly gait patterns in the presence of walking aids using radars. The signatures are based on real data experiments conducted in a laboratory environment using human subjects walking with a walking cane and a walker. Short-time Fourier transform is used to provide the local signal behavior over frequency and to detail the changes in the micro-Doppler signatures over time. Intrinsic differences in the Doppler and micro-Doppler signatures of the elderly gait observed with and without the use of a walking aid are highlighted. Features that capture these differences can be effective in discriminating gait with walking aids from normal human gait.
Amin et al. (2015) studied this question.