Adaptive Driver-Automation Shared Steering Control via Forearm Surface Electromyography Measurement

Shared steering control has been developed to reduce driver workload while keeping the in loop. A could integrate visual sensory information from road ahead and haptic wheel achieve better driving performance. Previous studies suggest that, compared with adaptive automation authority, fixed authority is not always appropriate respect human factors. This paper focuses on designing an shared system via sEMG (surface electromyography) measurement forearm of driver, evaluates effect behavior during a double lane change task. The was achieved through guidance which provided active assistance torque wheel. Ten subjects participated high-fidelity simulator experiment. Two types algorithms were investigated: decreases when grip strength increases (HG-Decrease), (HG-Increase). These two manual levels guidance, for total five experimental conditions. Evaluation systems based sets dependent variables: objective measures subjective workload. results indicate that HG-Decrease yielded lower reduced departure risk guidance.