Formation of a method and algorithm for automated analysis of the degree of attention and concentration of a person

Evgenii Semenishchev; Viacheslav Voronin; Mikhail Kurbakov; Daniil Lyakhov; Vladislav Egipko; Aleksandr Zelensky

doi:10.1117/12.2623051

27 May 2022 Formation of a method and algorithm for automated analysis of the degree of attention and concentration of a person

Evgenii Semenishchev, Viacheslav Voronin, Mikhail Kurbakov, Daniil Lyakhov, Vladislav Egipko, Aleksandr Zelensky

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Proceedings Volume 12101, Pattern Recognition and Tracking XXXIII; 121010L (2022) https://doi.org/10.1117/12.2623051
Event: SPIE Defense + Commercial Sensing, 2022, Orlando, Florida, United States

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Abstract

The article discusses the problem of constructing an algorithm for the automated detection of operator fatigue and monitoring its state by analyzing data obtained by machine vision systems in the visible range. As information parameters, a combined model is used, which includes an analysis of the speed of movement of the pupils and the degree of scattering of motion eyes. A multi-criteria smoothing method is used to identify the trend curve. The deviation of the scatter of displacements of the focus of view relative to the center of the object also indicates the degree of operator involvement in the technological or controlled process. The speed of movement of the pupils and the spread in the displacements of the focus of view relative to the center of the main large object were recorded. The work contains tables and graphs fixing the result of detecting deviations relative to the values obtained in the first minutes of the operator's work, from the time of tracking the test video.

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Evgenii Semenishchev, Viacheslav Voronin, Mikhail Kurbakov, Daniil Lyakhov, Vladislav Egipko, and Aleksandr Zelensky "Formation of a method and algorithm for automated analysis of the degree of attention and concentration of a person", Proc. SPIE 12101, Pattern Recognition and Tracking XXXIII, 121010L (27 May 2022); https://doi.org/10.1117/12.2623051

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