Surface Electromyography-controlled Pedestrian Collision Avoidance: A Driving Simulator Study

TL;DR

This study develops and tests an sEMG-controlled steering assistance system for drivers with disabilities, demonstrating its safety and effectiveness in a driving simulator for pedestrian collision avoidance.

Contribution

Introduces a novel sEMG-based interface using the Myo armband for steering assistance tailored for drivers with upper limb disabilities in collision avoidance scenarios.

Findings

sEMG interface outperforms manual takeover from automated driving

sEMG system is comparable to manual steering in stability

Feasibility confirmed for safe use by drivers with disabilities

Abstract

Drivers with disabilities such as hemiplegia or unilateral upper limb amputation restricting steering wheel operation to one arm could encounter the challenge of stabilizing vehicles during pedestrian collision avoidance. An sEMG-controlled steering assistance system was developed for these drivers to enable rapid steering wheel rotation with only one healthy arm. Test drivers were recruited to use the Myo armband as a sEMG-based interface to perform pedestrian collision avoidance in a driving simulator. It was hypothesized that the sEMG-based interface would be comparable or superior in vehicle stability to manual takeover from automated driving and conventional steering wheel operation. The Myo armband interface was significantly superior to manual takeover from automated driving and comparable to manual steering wheel operation. The results of the driving simulator trials confirm the feasibility of the sEMG-controlled system as a safe alternative that could benefit drivers with the aforesaid disabilities.