Journal of Intelligent and Connected Vehicles (Sep 2019)

A surface electromyography controlled steering assistance interface

  • Edric John Cruz Nacpil,
  • Rencheng Zheng,
  • Tsutomu Kaizuka,
  • Kimihiko Nakano

DOI
https://doi.org/10.1108/JICV-11-2018-0011
Journal volume & issue
Vol. 2, no. 1
pp. 1 – 13

Abstract

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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, 90° turn and 45° 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, 90° turn and 45° 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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