Real-Time Multi-Gesture Recognition using 77 GHz FMCW MIMO Single Chip Radar

Innovations in CMOS radar has paved way for new functions like gesture-based human-machine interaction using radar for consumer and automotive electronics. Single chip radars which integrate the RF front-end and digital processing logic are fit for such applications due to their cost and form factor but are constrained in angular resolution, memory, and processing power. In this paper, we propose low complexity radar-based multi-gesture classification solution which overcomes these constraints to achieve 96% accuracy for 6 gestures generalized across 8 users. The algorithm developed was found to consume only 8.4% DSP cycles and 256KiB memory on Texas Instrument's AWR1642.