A Study on Walk-Recognition in a Wooden House by Comparing Footstep Spectra

Abstract

Human footstep recognition (walk-recognition) in two wooden houses is discussed by comparing the spectrum envelope of footsteps. As a feature parameter, the correlation coefficient between footstep spectra is used. A simple walk-recognition algorithm is implemented. The average recognition rate is approximately 93%, and then the feasibility of distinguishing a walker and his footwear is confirmed.