Machine learning of electroencephalography signals and eye movements to classify work-in-progress risk at construction sites

The construction industry has consistently faced high accident rates and delays in recognizing hazards, posing significant risks to onsite personnel. Traditional hazard detection methods are often reactive rather than proactive, emphasizing a pressing need for innovative solutions. Despite advances...

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Bibliographic Details
Main Authors: Jui-Sheng Chou, Pin-Chao Liao, Chi-Yun Liu, Chia-Yung Hou
Format: Article
Language:English
Published: Vilnius Gediminas Technical University 2024-12-01
Series:Journal of Civil Engineering and Management
Subjects:
Online Access:https://journals.vilniustech.lt/index.php/JCEM/article/view/22719
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