A wearable inertial sensor system for human motion analysis

Abstract

To analyze the multi-dimension motion of human foot during walking, a wearable inertial sensor system is proposed. In this system, two gyroscopes (ENC-05EB) were used to measure angular velocities in x- and y-directions, and an accelerometer (ADXL202) was used to measure acceleration in x- and y directions respectively. Furthermore, a fuzzy inference system (FIS) was developed for the calculation of the gait phases derived from sensors' outputs. A digital filter was also designed to remove noises from of the output of the fuzzy inference system, which enhances robustness of the system. Finally, experimental study was conducted, and a wearable mechanism with the sensors system was constructed to detect gait phases of the normal human walking.