What is it about?
Sitting a long time in front of VDTs changes the working habits and reduces the physical movements of workers. It has negative effects on the health of the workers. In this paper, a headache prediction model is presented based on hand over face gestures recognition, the duration of headache pain, and the frequency of attack
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Why is it important?
The era of Covid-19 has a side impact on electronic activities because of the increasing dependence on online services in education, business, and social communication. this research can help the computer vision and physical therapy researchers to design new algorithms to recognize the visible fatigue signs using images captured by computer cameras, mobile phones, surveillance cameras in the workplace, and care for the elderly, children, and disability humans
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This page is a summary of: Prediction of the VDT Worker's Headache Using Convolutional Neural Network with Class Activation Mapping, IEEJ Transactions on Electrical and Electronic Engineering, September 2020, Wiley,
DOI: 10.1002/tee.23239.
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