On-Going Projects

Developing Brain-Computer Interfacing Theory and Models for Construction Hazard Detection through EEG Bispectrum Analysis

PI, #51508487, The National Natural Science Foundation of China (NSFC), Jan 2016- Dec 2017, RMB 230,000

Construction companies can accrue losses due to labor 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 conditions within the construction industry. Previous studies have revealed that the psychological and emotional conditions of workers can contribute to fatalities and injuries. The research 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 construction tasks. The ability to detect the mental conditions of workers could reduce unexpected injuries. This project aims to develop a measurement approach to evaluate hazards through neural time–frequency analysis. This project developed a prototype for a wearable electroencephalography (EEG) safety helmet that enables the collection of the neural information required as input for the measurement approach.