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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PIIS2405844022003553.pdf | Assessing attentive monitoring levels in dynamic environments through visual neuro-assisted approach | 3.11 MB | Adobe PDF | ![]() View/Open |
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