Gesture recognition using a neural network in real time

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dc.contributor.authorМазурець, Олександр Вікторович
dc.contributor.authorСобко, Олена Віталіївна
dc.contributor.authorБогданова, Ангеліна Григорівна
dc.contributor.authorMazurets, O.
dc.contributor.authorSobko, O.
dc.contributor.authorBohdanova, A.
dc.date.accessioned2023-09-13T07:49:38Z
dc.date.available2023-09-13T07:49:38Z
dc.date.issued2023
dc.descriptionThe aim of this work is to develop and implement a method for gesture recognition. The main functions of the application are capturing images from a web camera, memorizing and recognizing user gestures, and training the created model. Javascript programming language and TensorFlow.js, Jest, Bootstrap, Three.js libraries were used for development. The developed neural network is designed to recognize user gestures, namely recognizing digits formed by hand gestures. The practical use of the developed neural network is determined by capturing the current user's gestures in real time from the video stream, searching for the corresponding gesture of the digit and facilitating user interaction when working with the computer, which is especially important for people with limited abilities.uk_UA
dc.description.abstractThe aim of this work is to develop and implement a method for gesture recognition. The main functions of the application are capturing images from a web camera, memorizing and recognizing user gestures, and training the created model. Javascript programming language and TensorFlow.js, Jest, Bootstrap, Three.js libraries were used for development. The developed neural network is designed to recognize user gestures, namely recognizing digits formed by hand gestures. The practical use of the developed neural network is determined by capturing the current user's gestures in real time from the video stream, searching for the corresponding gesture of the digit and facilitating user interaction when working with the computer, which is especially important for people with limited abilities.uk_UA
dc.identifier.citationBohdanova A., Mazurets O., Sobko O. Gesture recognition using a neural network in real time. Black Sea Science 2023: Proceedings of the International Competition of Student Scientific Works. Odesa National University of Technology. Odesa, ONUT, 2023. Pp. 556-566uk_UA
dc.identifier.urihttps://elar.khmnu.edu.ua/handle/123456789/14417
dc.language.isoenuk_UA
dc.subjectNeural networkuk_UA
dc.subjectgesture recognitionuk_UA
dc.subjectdigit recognitionuk_UA
dc.subjectreal-time recognitionuk_UA
dc.titleGesture recognition using a neural network in real timeuk_UA
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