Please use this identifier to cite or link to this item: http://repositorio.ufla.br/jspui/handle/1/50285
Title: Sistema de identificação de direção de fonte sonora para auxiliar deficientes auditivos
Authors: Lacerda, Wilian Soares
Nepomuceno, Erivelton Geraldo
Ferreira, Danton Diego
Keywords: Redes naturais artificiais
Detector de sinal sonoro
Somatório de diferenças absolutas
Acessibilidade
Deficientes auditivos
Direção sonora
Artificial neural networks
Sound detector
Sum of the absolute differences
Acessibility
Deaf
Sound direction
Issue Date: 21-Jun-2022
Publisher: Universidade Federal de Lavras
Citation: MACHADO, W. Sistema de identificação de direção de fonte sonora para auxiliar deficientes auditivos. 2020. 120 p. Dissertação (Mestrado em Engenharia de Sistemas e Automação) – Universidade Federal de Lavras, Lavras, 2022.
Abstract: There are thousands of people in the world with disabilities who have special needs. With urban development, difficulties arise in locomotion on public roads and access to public transport. Each type of disability requires a certain type of adaptation for the individual to be able to perform their daily tasks. A very common problem in the day-to-day life of the hearing impaired is the difficulty in detecting the direction of sound signals from sound sources. Often, the hearing impaired cannot distinguish which side (right or left) an audible alert was issued. In order to offer an alternative to this problem, the present work proposes a system that assists the hearing impaired. The system is based on the time lag of the sound signal captured by two sound sensors (microphones), where each sensor is located on the user's shoulder. The sound signals captured from the surroundings by the sensors will have a time lag between them due to the difference in distance between the sound source and the sensors (microphones). This lag will be calculated by the software running on a microcontroller that will determine the direction (right or left) of the sound source in relation to the user according to the acquired lag. The microcontroller, in use of this information, will activate the vibracall engine placed on each shoulder of the user to alert him of the direction coming of the sound.The results obtained through the simulation proved to be promising, since the Neural Network One Step Secant (OSS) presented 96.3% of acuraccy in detecting the direction of different types of sound sources. The algorithm simulation test using the Sum of Absolute Differences showed 100% acuraccy and the tests in real environments showed a acuraccy rate of up to 85.5%. Thus, the development of work values accessibility, its social character, low cost and inclusive, as it is possible to make accessible and assist the hearing impaired in locomotion in the urban environment, avoiding accidents, in addition to providing comfort and a sense of belonging to spaces in which everyone circulates.
URI: http://repositorio.ufla.br/jspui/handle/1/50285
Appears in Collections:Engenharia de Sistemas e automação (Dissertações)



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