Compensation of Time Lag by sEMG and Inertial Sensor Fusion for Flight Safety Simulation Environment

摘要

Virtual reality environments play an important role in flight safety research, such as in the reconstruction of aircraft accidents. Head Mounted Display (HMD) systems now measure head motion with traditional kinematic sensors. In this way, head motion can only be detected when it has already happened and its update rate is limited, which results in time-lag and simulation sickness. This paper investigates the possibility and feasibility of fusing surface electromyogram (sEMG) bio-signals and traditional inertial gyro data to deal with the time lag problem which commonly exists in HMD based virtual environment applications. Five features are extracted from the sEMG signal to input into a trained RBF neural network, which is designed to fuse sEMG features and inertial data to anticipated head motion. Experimental results show that biotechnology will be a promising tool for virtual reality human-computer interaction.