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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Main Authors: | , , , |
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Format: | Article |
Language: | English |
Published: |
Vilnius Gediminas Technical University
2024-12-01
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Series: | Journal of Civil Engineering and Management |
Subjects: | |
Online Access: | https://journals.vilniustech.lt/index.php/JCEM/article/view/22719 |
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