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Please use this identifier to cite or link to this item: https://libeldoc.bsuir.by/handle/123456789/51939
Title: A hybrid classication algorithm based on svm, ann and knn for gesture recognition
Authors: Liao, Z. M.
Keywords: материалы конференций;gesture recognition;classification algorithms;human-computer interaction
Issue Date: 2023
Publisher: БГУИР
Citation: Liao, Z. M. A hybrid classication algorithm based on svm, ann and knn for gesture recognition / Z. M. Liao // Технологии передачи и обработки информации : материалы Международного научно-технического семинара, Минск, март-апрель 2023 г. / Белорусский государственный университет информатики и радиоэлектроники; редкол.: В. Ю. Цветков [и др.]. – Минск, 2023. – С. 159–162.
Abstract: A hybrid model based on SVM, ANN, KNN is proposed, which improves the accuracy compared to the traditional gesture recognition algorithm by combining it with the traditional gesture recognition algorithm.
URI: https://libeldoc.bsuir.by/handle/123456789/51939
Appears in Collections:Технологии передачи и обработки информации : материалы Международного научно-технического семинара (2023)

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