The Steering Wheel: A Design Space Exploration

Meschtscherjakov, Alexander

doi:10.1007/978-3-319-49448-7_13

Cited by 7 publications

(2 citation statements)

References 26 publications

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“…On confined residential roads or parking areas where sharp turns are rapidly executed at or below the speed limit of 30 km/h, a primary task for automobile drivers is to be safe by keeping their “eyes on the road and hands on the steering wheel” [1,2,3]. However, using one or both hands to rotate the steering wheel rightward from 0° to 65° with an average time of 0.268 and a standard deviation (SD) of 0.065 s, results in dangerously high shoulder joint forces that could overload the supraspinatus shoulder muscle [4,5,6].…”

Section: Introductionmentioning

confidence: 99%

Design and Evaluation of a Surface Electromyography-Controlled Steering Assistance Interface

Nacpil

Wang

Zheng

et al. 2019

Sensors

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Millions of drivers could experience shoulder muscle overload when rapidly rotating steering wheels and reduced steering ability at increased steering wheel angles. In order to address these issues for drivers with disability, surface electromyography (sEMG) sensors measuring biceps brachii muscle activity were incorporated into a steering assistance system for remote steering wheel rotation. The path-following accuracy of the sEMG interface with respect to a game steering wheel was evaluated through driving simulator trials. Human participants executed U-turns with differing radii of curvature. For a radius of curvature equal to the minimum vehicle turning radius of 3.6 m, the sEMG interface had significantly greater accuracy than the game steering wheel, with intertrial median lateral errors of 0.5 m and 1.2 m, respectively. For a U-turn with a radius of 7.2 m, the sEMG interface and game steering wheel were comparable in accuracy, with respective intertrial median lateral errors of 1.6 m and 1.4 m. The findings of this study could be utilized to realize accurate sEMG-controlled automobile steering for persons with disability.

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Section: Introductionmentioning

confidence: 99%

Design and Evaluation of a Surface Electromyography-Controlled Steering Assistance Interface

Nacpil

Wang

Zheng

et al. 2019

Sensors

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show abstract

“…To that end, EDA sensors could be integrated into steering wheels and measure changes in the conductivity of the skin. Such configurations have previously been touched upon by Meschtscherjakov (2017) and Riener et al (2017) . Future work should explore further dimensions of driver states and boredom levels.…”

Section: Resultsmentioning

confidence: 95%

Risky Gadgets to the Rescue - Reframing In-Car Technology Use as Task Engagement

Steinberger¹

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User Perception and the Effect of Forms and Movements in Human-Machine Interaction Applying Steer-By-Wire for Autonomous Vehicles

Lim

Lee

Kim

2020

Lecture Notes in Computer Science

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The Steering Wheel: A Design Space Exploration

Cited by 7 publications

References 26 publications

Design and Evaluation of a Surface Electromyography-Controlled Steering Assistance Interface

Design and Evaluation of a Surface Electromyography-Controlled Steering Assistance Interface

Risky Gadgets to the Rescue - Reframing In-Car Technology Use as Task Engagement

User Perception and the Effect of Forms and Movements in Human-Machine Interaction Applying Steer-By-Wire for Autonomous Vehicles

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