A Robust And Sequential Approach For Detecting Gait Asymmetry Based On Radar Micro-Doppler Signatures

Recently, radar has become of increased interest to serve as an unobtrusive sensor for human motion analysis. In particular, for gait analysis, radar could supplement existing technologies to enhance medical diagnostics. Quick turn-around medical evaluation and diagnosis requires reduced data acquisition time which is of interest to patients, doctors, and therapists alike. Hence, we present a robust and sequential approach for detecting gait asymmetry based on radar micro-Doppler signatures. The results obtained based on experimental radar data indicate that high detection rates can be achieved at reduced measurement times compared to conventional approaches.