Recognition of deaf gestures based on a bio-inspired neural network

M. G. Grif, A. V. Kugaevskikh

Результат исследования: Научные публикации в периодических изданияхстатья по материалам конференциирецензирование

Аннотация

In this paper discusses the current situation in Russia and the world in the field of development of sign languages translation system. The main problems are formulated, and ways to solve them are given. One of the most important unresolved tasks is the task of recognizing the gestures of the deaf. To effectively solve it, an approach based on the development of bio-inspired neural networks is proposed. The architecture of a bio-inspired neural network, including four types of neurons, is described. New simpler MT neuron model proposed.

Язык оригиналаанглийский
Номер статьи012038
ЖурналJournal of Physics: Conference Series
Том1661
Номер выпуска1
DOI
СостояниеОпубликовано - 10 ноя 2020
Событие2020 International Conference on Information Technology in Business and Industry, ITBI 2020 - Novosibirsk, Российская Федерация
Продолжительность: 6 апр 20208 апр 2020

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