The detection of the human mental fatigue state holds immense significance due to its direct impact on work efficiency, specifically in system operation control. Numerous approaches have been proposed to address the challenge of fatigue detection, aiming to identify signs of fatigue and alert the individual. This research introduces an approach to human mental fatigue assessment based on the application of machine learning techniques to the video of a working operator.

Хамуд Б. (науч. рук. Кашевник А.М.) Human operator mental fatigue assessment based on video analysis using ai and ml // Сборник тезисов докладов конгресса молодых ученых. Электронное издание. – СПб: Университет ИТМО, [2025]. URL: https://kmu.itmo.ru/digests/article/14497