A Real-Time Customer Tracking System Based on Ultra-Wideband Sensors

This work presents a real-time human tracking system based on ultra-wideband (UWB) sensors for customer positions and trajectories. The positions are calculated from distance values obtained by UWB sensors, and the Kalman filter and inverse distance weighting method are utilized to increase the positioning accuracy. Experiment results demonstrate that the positioning error is improved by 30.55% with the proposed algorithm architecture.