Driving Assist System: Shared Haptic Human System Interaction

Takada, Yuji; Boer, Erwin R.; Sawaragi, Tetsuo

doi:10.3182/20130811-5-us-2037.00038

Cited by 6 publications

(3 citation statements)

References 15 publications

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“…Steering assistance has been implemented in production automobiles in the form of power steering systems (Shimizu and Tokunaga, 2015). Power steering relies on a control scheme in which the driver rotates the steering wheel with assistive torque from the power steering system (Takada et al , 2013). Some vehicles use electric power steering (EPS), whereas other vehicles use an alternative form of steering assistance called “active front steering” (AFS) that automatically decreases the steering ratio when vehicle speed decreases[1][2][3] (Kumar, 2012; Li et al , 2014).…”

Section: Related Workmentioning

confidence: 99%

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A surface electromyography controlled steering assistance interface

Nacpil

Zheng

Kaizuka

et al. 2019

JICV

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Purpose Two-handed automobile steering at low vehicle speeds may lead to reduced steering ability at large steering wheel angles and shoulder injury at high steering wheel rates (SWRs). As a first step toward solving these problems, this study aims, firstly, to design a surface electromyography (sEMG) controlled steering assistance interface that enables hands-free steering wheel rotation and, secondly, to validate the effect of this rotation on path-following accuracy. Design/methodology/approach A total of 24 drivers used biceps brachii sEMG signals to control the steering assistance interface at a maximized SWR in three driving simulator scenarios: U-turn, 90º turn and 45º turn. For comparison, the scenarios were repeated with a slower SWR and a game steering wheel in place of the steering assistance interface. The path-following accuracy of the steering assistance interface would be validated if it was at least comparable to that of the game steering wheel. Findings Overall, the steering assistance interface with a maximized SWR was comparable to a game steering wheel. For the U-turn, 90º turn and 45º turn, the sEMG-based human–machine interface (HMI) had median lateral errors of 0.55, 0.3 and 0.2 m, respectively, whereas the game steering wheel, respectively, had median lateral errors of 0.7, 0.4 and 0.3 m. The higher accuracy of the sEMG-based HMI was statistically significant in the case of the U-turn. Originality/value Although production automobiles do not use sEMG-based HMIs, and few studies have proposed sEMG controlled steering, the results of the current study warrant further development of a sEMG-based HMI for an actual automobile.

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Section: Related Workmentioning

confidence: 99%

“…Sometimes drivers have to steer sharply and rapidly at low vehicle speeds to maneuver in confined spaces such as narrow roads and crowded parking lots (Takada et al , 2013). However, rapid, two-handed steering subjects the shoulder of the driver to high forces that may cause injury.…”

Section: Introductionmentioning

confidence: 99%

A surface electromyography controlled steering assistance interface

Nacpil

Zheng

Kaizuka

et al. 2019

JICV

View full text Add to dashboard Cite

show abstract

“…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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