Investigating the Cognitive Response of Brake Lights in Initiating Braking Action Using EEG

Abstract

Half of all road accidents result from either lack of driver attention or from maintaining insufficient separation between vehicles. Collision from the rear, in particular, has been identified as the most common class of accident in the UK, and its influencing factors have been widely studied for many years. Rear-mounted stop lamps, illuminated when braking, are the primary mechanism to alert following drivers to the need to reduce speed or brake. This paper develops a novel brain response approach to measuring subject reaction to different brake light designs. A variety of off-the-shelf brake light assemblies are tested in a physical simulated driving environment to assess the cognitive reaction times of 22 subjects. Eight pairs of LED-based and two pairs of incandescent bulb-based brake light assemblies are used and electroencephalogram (EEG) data recorded. Channel Pz is utilised to extract the P3 component evoked during the decision making process that occurs in the brain when a participant decides to lift their foot from the accelerator and depress the brake. EEG analysis shows that both incandescent bulb-based lights are statistically slower to evoke cognitive responses than all tested LED-based lights. Between the LED designs, differences are evident, but not statistically significant, attributed to the significant amount of movement artifact in the EEG signal.

Publication DOI: https://doi.org/10.1109/TITS.2021.3091291
Divisions: College of Engineering & Physical Sciences > School of Engineering and Technology > Mechanical, Biomedical & Design
College of Engineering & Physical Sciences
Aston University (General)
Additional Information: Copyright: Authors, 2021. This work is licensed under a Creative Commons Attribution 4.0 License. For more information, see https://creativecommons.org/licenses/by/4.0/. Funding: Road Safety Trust under Grant RST 90_4_18.
Uncontrolled Keywords: Brakes,Electroencephalography,Vehicles,Hardware,Brain modeling,Light emitting diodes,Shape
Publication ISSN: 1558-0016
Last Modified: 15 Nov 2024 08:21
Date Deposited: 08 Jul 2021 08:16
Full Text Link: https://ieeexpl ... cument/9473062/
Related URLs:
PURE Output Type: Article
Published Date: 2021-07-02
Published Online Date: 2021-07-02
Accepted Date: 2021-06-15
Authors: Palaniappan, Ramaswamy
Mouli, Surej (ORCID Profile 0000-0002-2876-3961)
Bowman, Howard
McLoughlin, Ian

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License: Creative Commons Attribution

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