Drowsiness and tiredness detection system by observing the visible properties of human eyes

Bikash Lamsal; Masumi Yahata; Masato Oka; Bimal Kumar KC; Matteo Sardellitti; Naofumi Matsumoto

doi:10.1117/12.2679931

7 June 2023 Drowsiness and tiredness detection system by observing the visible properties of human eyes

Bikash Lamsal, Masumi Yahata, Masato Oka, Bimal Kumar KC, Matteo Sardellitti, Naofumi Matsumoto

Author Affiliations +

Proceedings Volume 12701, Fifteenth International Conference on Machine Vision (ICMV 2022); 127010T (2023) https://doi.org/10.1117/12.2679931
Event: Fifteenth International Conference on Machine Vision (ICMV 2022), 2022, Rome, Italy

Abstract

In this paper, we present a robust system for identifying and predicting physical conditions like sleeplessness, tiredness, and potential unwellness in construction worker by observing the visible properties and movement pattern of their eyes. Site managers are responsible for taking care of the physical condition of a worker in construction site, which cause a lot of trouble and is time consuming. Our system aims to automate this entire process. We rely on the fact that the above-mentioned physical conditions directly affect the visible properties of human eyes like color, and eye movement. Our approach collects individual eye data over time to determine a normal point for the said individual and tries to find the deviation from the normal point to identify any abnormalities which might be a direct result of sleeplessness or tiredness. For this purpose, we propose an original algorithm. Then we have successfully built and deployed a system that identifies workers physical condition reading the properties of their eyes.

Citation Download Citation

Bikash Lamsal, Masumi Yahata, Masato Oka, Bimal Kumar KC, Matteo Sardellitti, and Naofumi Matsumoto "Drowsiness and tiredness detection system by observing the visible properties of human eyes", Proc. SPIE 12701, Fifteenth International Conference on Machine Vision (ICMV 2022), 127010T (7 June 2023); https://doi.org/10.1117/12.2679931

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