Hazard recognition in an immersive virtual environment: Framework for the simultaneous analysis of visual search and EEG patterns

作者: Mojtaba Noghabaei , Kevin Han

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摘要: Unmanaged hazards in dangerous construction environments proved to be one of the main sources injuries and accidents. Hazard recognition is crucial achieve effective safety management reduce fatalities hazardous job sites. Still, there has been lack effort that can efficiently assist workers improving their hazard skills. This study presents virtual training an Immersive Virtual Environment (IVE) enhance worker's A worker wearing a Reality (VR) device, equipped with eye-tracker, virtually recognizes on simulated sites while brainwave-sensing device records brain activities. platform analyze overall performance visual task identify need additional intervention for each worker. provides novel insights how eye act simultaneously during process. The presented method take current programs into another level by providing personalized feedback workers.

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