Estimation of driver alertness to different colors and intensities using brain visual evoked potentials

The study investigates the effects of street light colors on driver alertness in aim to improve the traffic safety element. In order to achieve this objective, the human P100 visual evoked potentials (VEPs) responses are stimulated to different colors (red, green, blue, and yellow) with to levels of...

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Main Authors: Bekdash, M., Asirvadam, V.S., Kamel, N., Yanti, D.K.
Format: Article
Institution: Universiti Teknologi Petronas
Record Id / ISBN-0: utp-eprints.20165 /
Published: Institute of Electrical and Electronics Engineers Inc. 2017
Online Access: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85012013356&doi=10.1109%2fICIAS.2016.7824070&partnerID=40&md5=f7d119882ffeceda1da9f03060f05e88
http://eprints.utp.edu.my/20165/
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spelling utp-eprints.201652018-04-22T14:43:58Z Estimation of driver alertness to different colors and intensities using brain visual evoked potentials Bekdash, M. Asirvadam, V.S. Kamel, N. Yanti, D.K. The study investigates the effects of street light colors on driver alertness in aim to improve the traffic safety element. In order to achieve this objective, the human P100 visual evoked potentials (VEPs) responses are stimulated to different colors (red, green, blue, and yellow) with to levels of intensity, and twenty (20) healthy subjects with normal or corrected to normal vision are involved. The P100 responses are recorded using checkerboard stimulus and obtained signals are analyzed in terms of their peaks amplitude and latency (high amplitude with early peak latency indicate a high response). Results show a variation within the human P100 VEPs and most subjects record low responses, when blue color is presented, whilst yellow induces the highest. Moreover, the color intensity level plays a major role in motivating the human alertness as higher responses are recorded, when the intensity is increased. This study shows that a solid relation between chromatic stimulation and human alertness exists. Thus, using the proper color combination to design the road signs may enhance the driver alertness and insure a high level of awareness. © 2016 IEEE. Institute of Electrical and Electronics Engineers Inc. 2017 Article PeerReviewed https://www.scopus.com/inward/record.uri?eid=2-s2.0-85012013356&doi=10.1109%2fICIAS.2016.7824070&partnerID=40&md5=f7d119882ffeceda1da9f03060f05e88 Bekdash, M. and Asirvadam, V.S. and Kamel, N. and Yanti, D.K. (2017) Estimation of driver alertness to different colors and intensities using brain visual evoked potentials. International Conference on Intelligent and Advanced Systems, ICIAS 2016 . http://eprints.utp.edu.my/20165/
institution Universiti Teknologi Petronas
collection UTP Institutional Repository
description The study investigates the effects of street light colors on driver alertness in aim to improve the traffic safety element. In order to achieve this objective, the human P100 visual evoked potentials (VEPs) responses are stimulated to different colors (red, green, blue, and yellow) with to levels of intensity, and twenty (20) healthy subjects with normal or corrected to normal vision are involved. The P100 responses are recorded using checkerboard stimulus and obtained signals are analyzed in terms of their peaks amplitude and latency (high amplitude with early peak latency indicate a high response). Results show a variation within the human P100 VEPs and most subjects record low responses, when blue color is presented, whilst yellow induces the highest. Moreover, the color intensity level plays a major role in motivating the human alertness as higher responses are recorded, when the intensity is increased. This study shows that a solid relation between chromatic stimulation and human alertness exists. Thus, using the proper color combination to design the road signs may enhance the driver alertness and insure a high level of awareness. © 2016 IEEE.
format Article
author Bekdash, M.
Asirvadam, V.S.
Kamel, N.
Yanti, D.K.
spellingShingle Bekdash, M.
Asirvadam, V.S.
Kamel, N.
Yanti, D.K.
Estimation of driver alertness to different colors and intensities using brain visual evoked potentials
author_sort Bekdash, M.
title Estimation of driver alertness to different colors and intensities using brain visual evoked potentials
title_short Estimation of driver alertness to different colors and intensities using brain visual evoked potentials
title_full Estimation of driver alertness to different colors and intensities using brain visual evoked potentials
title_fullStr Estimation of driver alertness to different colors and intensities using brain visual evoked potentials
title_full_unstemmed Estimation of driver alertness to different colors and intensities using brain visual evoked potentials
title_sort estimation of driver alertness to different colors and intensities using brain visual evoked potentials
publisher Institute of Electrical and Electronics Engineers Inc.
publishDate 2017
url https://www.scopus.com/inward/record.uri?eid=2-s2.0-85012013356&doi=10.1109%2fICIAS.2016.7824070&partnerID=40&md5=f7d119882ffeceda1da9f03060f05e88
http://eprints.utp.edu.my/20165/
_version_ 1741196328354971648
score 11.62408

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