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    Construction and other labor-intensive industry suffer from losses due to fatalities and injuries. Since more than 70% of all accidents are related to human activities, detecting and mitigating human-related risks hold the key to improving the safety in labor working environment. Recent studies in the area of neural science and psychology suggest that inattentional blindness is one major cause of unexpected human related accidents. Due to the limitation of human mental workload, laborers are vulnerable to unexpected hazards while focusing on complicated tasks. Therefore, the ability to detect the mental conditions of workers could reduce unexpected injuries. In this seminar, Dr. Jiayu CHEN will share his recent research progress in developing quantitative measurement approach to evaluate hazards through neural time¨Cfrequency analysis on human kinematic-mental signals. This research implemented wearable EEG and motion capturing system to proposed a digital monitoring platform for workers¡¯ attention and vigilance assessment. Based on the results, theoretical models were constructed for risk assessment during working activities.

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