Desenvolvimento de uma interface computacional natural para pessoas com deficiência motora baseada em visão computacional
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Tipo
Dissertação
Data de publicação
2018-02-08
Periódico
Citações (Scopus)
Autores
Sampaio, Gustavo Scalabrini
Orientador
Marengoni, Mauricio
Título da Revista
ISSN da Revista
Título de Volume
Membros da banca
Macedo, Elizeu Coutinho de
Lima, Clodoaldo Aparecido de Moraes
Lima, Clodoaldo Aparecido de Moraes
Programa
Engenharia Elétrica
Resumo
New interaction devices such as touchscreens and virtual reality googles has made human
computer interaction more intuitive and natural. This work presents concepts and
techniques used for the development of a system that allows users to interact with personal
computer in a simple and e cient way through face movements. Computer vision
techniques such as segmentation, facial detection and landmarks detection were used, as
well as programming and mathematical techniques for the development of this system.
It is a natural human-computer interface that uses face, eye and mouth movements to
perform control functions such as mouse cursor movement and triggering of clicks and
keys. Several tests have shown that the developed system has superior performance compared
to similar systems, 100 fps processing performance, throughput of 1:20 bits=s for
mouse cursor movements, and 1.15 keystrokes with the face per second, it easy to use, fast
learning and it can be used in a large number of applications such as internet browsing,
social networking and games. The developed system can be used by people with motor
disabilities as an assistive technology, promoting social inclusion, as well as providing
greater educational and professional opportunities for this public.
Descrição
Palavras-chave
interação humano-computador , visão computacional , rastreamento facial , pontos faciais , pessoas com deficiência
Assuntos Scopus
Citação
SAMPAIO, Gustavo Scalabrini. Desenvolvimento de uma interface computacional natural para pessoas com deficiência motora baseada em visão computacional. 2018. 95 f. Dissertação (Engenharia Elétrica) - Universidade Presbiteriana Mackenzie, São Paulo.