A surface electromyography controlled steering assistance interface. Issue 1 (3rd April 2019)
- Record Type:
- Journal Article
- Title:
- A surface electromyography controlled steering assistance interface. Issue 1 (3rd April 2019)
- Main Title:
- A surface electromyography controlled steering assistance interface
- Authors:
- Nacpil, Edric John Cruz
Zheng, Rencheng
Kaizuka, Tsutomu
Nakano, Kimihiko - Abstract:
- Abstract : 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 automobilesAbstract : 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. … (more)
- Is Part Of:
- Journal of intelligent and connected vehicles. Volume 2:Issue 1(2019)
- Journal:
- Journal of intelligent and connected vehicles
- Issue:
- Volume 2:Issue 1(2019)
- Issue Display:
- Volume 2, Issue 1 (2019)
- Year:
- 2019
- Volume:
- 2
- Issue:
- 1
- Issue Sort Value:
- 2019-0002-0001-0000
- Page Start:
- 1
- Page End:
- 13
- Publication Date:
- 2019-04-03
- Subjects:
- Advanced driver assistance systems -- Human–machine interface -- Myoelectric control system -- Path-following -- Steering assistance system -- Surface electromyography
Intelligent transportation systems -- Periodicals
Automobiles -- Safety measures -- Periodicals
Autonomous vehicles -- Periodicals
Motor vehicles -- Technological innovations -- Periodicals
629.2042 - Journal URLs:
- https://www.emeraldinsight.com/loi/jicv ↗
http://www.emeraldinsight.com/ ↗ - DOI:
- 10.1108/JICV-11-2018-0011 ↗
- Languages:
- English
- ISSNs:
- 2399-9802
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 22229.xml