A motion tracking system for hand activity assessment

Abstract

A video-based hand-motion detection and tracking system is developed for the purpose of automated hand activity level assessment in a factory workplace. While the basic approach follows the sequential Bayesian estimation principle, a unique verification step is proposed to validate the quality of estimates. An experimental simulated workplace assembly line workstation is developed. The proposed system shows satisfactory performance and robustness due to the novel verification step.