The effectiveness of electrodermal activity measurements as an indicator of driver stress, can be significantly impaired by motion artifacts, which can trigger false alarms. In this study, motion artifact in driving simulator experiments are adaptively filtered by using the steering wheel signal as the reference variable. The results demonstrate that adaptive removal of motion artifact can be usefully applied to driving simulators.
