The Journal of Engineering (Sep 2019)
Indoor non-rhythmic human motion classification using a frequency-modulated continuous-wave radar
Abstract
Human motion classification is widely used in intelligent house, surveillance, search and rescue operation, intelligent house, and elder monitoring. In this study, a frequency-modulated continuous-wave radar is utilised to classify non-rhythmic human motion in an indoor scenario. Both the range and Doppler features are extracted from echo signals for a machine learning classifier subspace K-nearest neighbour. Extensive experiments demonstrate its feasibility, and an accuracy rate of 94.2% was achieved in recognition of eight typical non-rhythmic motions.
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