IIT Madras researchers have shown that electroencephalogram (EEG) can be used to measure brainwaves in workers, to assess their mental sharpness, especially during times of crisis. Such measurements will help in assessing the capability of the worker to respond to an emergency in real-time, which, in turn, could prevent accidents and mishaps on a factory floor.
They have developed an EEG-based methodology for identifying the similarities and mismatch between the worker’s mental model and the real situation during emergencies. Such a mismatch leads to high cognitive workload in human operators, often a precursor to poor performance. High cognitive workload state of workers makes them prone to commit errors that can lead to accidents.
This research was undertaken by a team led by Prof. Rajagopalan Srinivasan, Department of Chemical Engineering, IIT Madras. The results of this research have been published recently in the reputed peer-reviewed Journal of Computers and Chemical Engineering in a paper co-authored by Prof. Rajagopalan Srinivasan, Mr. Mohd Umair Iqbal, and Prof. Babji Srinivasan.
The EEG based approach can also provide targeted cues during learning, to improve the overall effectiveness of training.