Scientists from the St. Petersburg Federal Research Center of the Russian Academy of Sciences (SPC RAS) and St. Petersburg State University have developed a neural network capable of analyzing eye movements and determining a person's level of fatigue. The technology can be implemented in control systems for transport operators, industrial equipment, and other critical facilities.
The neural network was trained on data collected using eye trackers — devices that track the direction of gaze. Researchers recorded the eye movement strategies of operators performing various tasks: reading, writing, and working at a computer for extended periods.
We have trained a neural network to determine the state of a transport operator or any other equipment - whether they are awake or fatigued - based on their eye movements. The data for training the neural network was collected using an eye tracker, a device that determines the direction of a person's gaze. In the future, our solution could be integrated into systems that monitor the actions of operators of various equipment and critical infrastructure.
The development is available as an open-source library, allowing other developers to adapt it for their needs. The project is supported by a grant from the Foundation for Assistance to Innovations.
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