Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/156203
Title: Assessing attentive monitoring levels in dynamic environments through visual neuro-assisted approach
Authors: Li, Yu Fei
Lye, Sun Woh
Rajamanickam, Yuvaraj
Keywords: Engineering::Mechanical engineering
Issue Date: 2022
Source: Li, Y. F., Lye, S. W. & Rajamanickam, Y. (2022). Assessing attentive monitoring levels in dynamic environments through visual neuro-assisted approach. Heliyon, 8(3), e09067-. https://dx.doi.org/10.1016/j.heliyon.2022.e09067
Project: 04SBS000782C160 
Journal: Heliyon 
Abstract: This work aims to establish a framework in measuring the various attentional levels of the human operator in a real-time animated environment through a visual neuro-assisted approach.
URI: https://hdl.handle.net/10356/156203
ISSN: 2405-8440
DOI: 10.1016/j.heliyon.2022.e09067
Rights: © 2022 The Authors. Published by Elsevier Ltd. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/bync-nd/4.0/).
Fulltext Permission: open
Fulltext Availability: With Fulltext
Appears in Collections:ATMRI Journal Articles
MAE Journal Articles

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