A study on band-pass filtering for calculating foot displacements from accelerometer and gyroscope sensors.

Abstract

As a promising alternative to laboratory-constrained video capture systems in studies of human movement, inertial sensors (accelerometers and gyroscopes) are recently gaining popularity. Secondary quantities such as velocity, displacement and joint angles can be calculated through integration of acceleration and angular velocities. It is broadly accepted that this procedure is significantly influenced by accumulative errors due to integration, arising from sensor noise, non-linearities, asymmetries, sensitivity variations and bias drifts. In this paper, we assess the effectiveness of applying band-pass filtering to raw inertial sensor data under the assumption that sensor drift errors occur ..