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.


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    Title :

    Development of an Algorithm for Determining the Sleepiness of a Crew


    Additional title:

    Lect.Notes Mechanical Engineering


    Contributors:


    Publication date :

    2022-10-20


    Size :

    9 pages





    Type of media :

    Article/Chapter (Book)


    Type of material :

    Electronic Resource


    Language :

    English




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