Hardware and software complex of augmentation communication system on the basis of EyeTracking technologys
Vestnik KRAUNC. Fiziko-matematičeskie nauki, Tome 27 (2019) no. 2, pp. 55-73

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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, Haar cascade, Viola-Jones method, OpenCV, dnn, deep neural network, microcontrollers, binarization, algorithm for constructing convex hulls, Jarvis algorithm, YOLO.
Mots-clés : contour analysis, cascade classifiers, machine vision, erosion, dilation, convolutional core
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     author = {Y. V. Grushko},
     title = {Hardware and software complex of augmentation communication system on the basis of {EyeTracking} technologys},
     journal = {Vestnik KRAUNC. Fiziko-matemati\v{c}eskie nauki},
     pages = {55--73},
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     year = {2019},
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Y. V. Grushko. Hardware and software complex of augmentation communication system on the basis of EyeTracking technologys. Vestnik KRAUNC. Fiziko-matematičeskie nauki, Tome 27 (2019) no. 2, pp. 55-73. http://geodesic.mathdoc.fr/item/VKAM_2019_27_2_a4/