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Surface Electromyography-Controlled Automobile Steering Assistance.
Edric John Cruz Nacpil1, Kimihiko Nakano1
1Institute of Industrial Science, The University of Tokyo, 4-6-1 Komaba, Meguro-ku, Tokyo 153-8505, Japan.
Sensors (Basel, Switzerland)
|February 7, 2020
Summary
The Myo armband, a surface electromyography (sEMG) interface, shows comparable steering accuracy to traditional wheels for drivers with upper limb disabilities. This technology offers feasible applications for future automotive studies.
Area of Science:
- Human-Computer Interaction
- Automotive Engineering
- Rehabilitation Technology
Background:
- Upper limb disabilities (e.g., hemiplegia, amputation) necessitate alternative driving control methods.
- Surface electromyography (sEMG) interfaces have shown promise in prototype steering assistance systems.
- Validation of mass-produced sEMG devices in real-world driving scenarios is needed.
Purpose of the Study:
- To evaluate the path-following accuracy of the Myo armband, a commercial sEMG interface, for one-handed remote steering.
- To compare the Myo armband's performance against conventional steering wheel operation in a commercial automobile.
- To assess the feasibility of the Myo armband for drivers with upper limb impairments.
Main Methods:
- Field testing of a commercially available automobile equipped with a Myo armband sEMG steering system.
- Comparison of path-following accuracy between Myo armband control and conventional steering wheel operation.
- Evaluation during various maneuvers including 90° turns, wide U-turns, narrow U-turns, and 45° turns at low speeds.
Main Results:
- The Myo armband demonstrated lower path-following accuracy than the steering wheel during a 90° turn and wide U-turn.
- Conversely, the Myo armband achieved superior path-following accuracy during a narrow U-turn and a 45° turn.
- Overall performance of the Myo armband was comparable to the conventional steering wheel.
Conclusions:
- The Myo armband presents a feasible option for one-handed remote steering assistance in automobiles.
- This sEMG-based interface shows potential for enhancing driving accessibility for individuals with upper limb disabilities.
- Further research and application in future automotive studies are warranted.
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