The paper discusses the development of an algorithm for an intelligent system for monitoring the sleepiness of a crew in real time using a neural network model. The following signs of sleepiness were investigated: the frequency of yawning, the direction of gaze, the frequency and speed of blinking of the eyelids, and the duration of eye closure.
Development of an Algorithm for Determining the Sleepiness of a Crew
Lect.Notes Mechanical Engineering
Proceedings of 10th International Conference on Recent Advances in Civil Aviation ; Chapter : 6 ; 67-75
2022-10-20
9 pages
Article/Chapter (Book)
Electronic Resource
English
British Library Conference Proceedings | 1997
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