Research on Step-Speed Detection Device and Prediction Algorithm of VR Motion Platform

Abstract

In order to solve the problem of dizziness caused by the inconsistency between visual and somatosensory movements of people in a virtual reality system, a set of stride detection device composed of $\mathbf{2}\times \mathbf{11}$ array of foot pressure sensors was designed. The piezoresistive characteristics and rebound time of the foot pressure sensor were studied. A footstep pressure signal detection circuit is designed, then the footstep pressure signal through the MCU is collected, and calculated the pace. At the same time, the ARIMA model is used to predict speed changes. The experimental results show that the piezoresistive characteristics of the foot pressure sensor meet the requirements of foot detection, and the rebound time is less than 170 ms; the pace detection device detects the step detection accuracy and prediction accuracy are both greater than 95%, which meets the design requirements of VR motion platforms.