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JOURNALS // Vestnik KRAUNC. Fiziko-Matematicheskie Nauki // Archive

Vestnik KRAUNC. Fiz.-Mat. Nauki, 2019 Volume 27, Number 2, Pages 55–73 (Mi vkam352)

This article is cited in 3 papers

INFORMATION AND COMPUTATION TECHNOLOGIES

Hardware and software complex of augmentation communication system on the basis of EyeTracking technologys

Y. V. Grushko

Vitus Bering Kamchatka State University, 683031, Petropavlovsk-Kamchatsky, Pogranichnaya st., 4, Russia

Abstract: The paper presents a description of the developed APC and implemented the algorithm of EyeTracking (based on convolutional neural networks and morphological analysis), which allows people suffering from motor dysfunction and neuroparalytic syndromes to carry out the process of communication with the outside world through computer control and text printing by eye movement.

Keywords: EyeTracking, oculography, algorithm, HSC, convolutional neural networks, morphological analysis, contour analysis, cascade classifiers, Haar cascade, Viola-Jones method, machine vision, OpenCV, dnn, deep neural network, microcontrollers, erosion, dilation, convolutional core, binarization, algorithm for constructing convex hulls, Jarvis algorithm, YOLO.

UDC: 004.42

MSC: 91B44

DOI: 10.26117/2079-6641-2019-27-2-55-73



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