Publication: Neural Network Method for Determining the Direction of a Person's Gaze based on a Web Camera Image Analysis
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2022
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Determining the direction of a person s gaze improves the accuracy of the voice control systems, which are relevant in the actively developing voice assistant creation field. This paper proposes a neural network method for determining the gaze direction based on the web camera image analysis. In the course of the paper, a corpus of data was collected and marked up with preprocessed data from the web camera and the point of view direction on the monitor screen. A neural network model was built based on fully connected and convolutional layers. The created neural network model for determining the gaze direction demonstrated an improvement of 13% in pixel error on the monitor screen compared to the existing open-source solutions. The created neural network model was implemented in the voice control system of a mobile robot, which facilitated minimization of the ambiguity in the analysis of movement commands towards objects.
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Neural Network Method for Determining the Direction of a Person's Gaze based on a Web Camera Image Analysis / Skorokhodov, M. S. [et al.] // Procedia Computer Science. - 2022. - 213. - № C. - P. 203-208. - 10.1016/j.procs.2022.11.057