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This article is cited in 3 scientific papers (total 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.
Citation:
Y. V. Grushko, “Hardware and software complex of augmentation communication system on the basis of EyeTracking technologys”, Vestnik KRAUNC. Fiz.-Mat. Nauki, 27:2 (2019), 55–73
Linking options:
https://www.mathnet.ru/eng/vkam352 https://www.mathnet.ru/eng/vkam/v27/i2/p55
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Abstract page: | 254 | Full-text PDF : | 139 | References: | 36 |
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