Human velocity and dynamic behavior tracking method for inertial capture system

Abstract

This paper introduces a method to track the real-time velocity and capture the dynamic behavior of a person using inertial motion capture system. The velocity of a person while moving is curtail, but existing capture systems do not discuss on this. In this work, a method for monitoring the velocity of a key reference root point on the subject is first proposed. Based on the contact detection, the velocity calculated from lower limb kinematics and the integration of accelerations are fused through Kalman Filters to achieve accurate and drift free estimation results. Based on this velocity estimation and the limb kinematics, the spatial location of the subject can then be updated in real-time. Experiments are conducted to show the capability of the proposed method. The capability and accuracy of the proposed method in both the velocity tracking and localization are verified using the commercial optical motion capture system, Motion Analysis. The velocity and spatial behavior of the person during motions like walking, jumping and running are accurately captured with this self-contained system. This system does not depend on external devices, has little constraint to the human movements and can accurately monitor the moving speed of the person, thus it can show advantage in everyday practice and sport training in large area or home environments.