Back to Search Start Over

Surface Electromyography-Controlled Pedestrian Collision Avoidance: A Driving Simulator Study.

Authors :
Nacpil, Edric John Cruz
Wang, Zheng
Yan, Zhanhong
Kaizuka, Tsutomu
Nakano, Kimihiko
Source :
IEEE Sensors Journal; 6/15/2021, Vol. 21 Issue 12, p13877-13885, 9p
Publication Year :
2021

Abstract

Drivers with disabilities such as hemiplegia or unilateral upper limb amputation restricting steering wheel operation to one arm could encounter the challenge of stabilizing vehicles during pedestrian collision avoidance. An sEMG-controlled steering assistance system was developed for these drivers to enable rapid steering wheel rotation with only one healthy arm. Test drivers were recruited to use the Myo armband as a sEMG-based interface to perform pedestrian collision avoidance in a driving simulator. It was hypothesized that the sEMG-based interface would be comparable or superior in vehicle stability to manual takeover from automated driving and conventional steering wheel operation. The Myo armband interface was significantly superior to manual takeover from automated driving and comparable to manual steering wheel operation. The results of the driving simulator trials confirm the feasibility of the sEMG-controlled system as a safe alternative that could benefit drivers with the aforesaid disabilities. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
1530437X
Volume :
21
Issue :
12
Database :
Complementary Index
Journal :
IEEE Sensors Journal
Publication Type :
Academic Journal
Accession number :
151249442
Full Text :
https://doi.org/10.1109/JSEN.2021.3070597