Eyecomm
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Citações na Scopus
Tipo de produção
Trabalho de Conclusão de Curso
Data
2022-12-07
Autores
Pisani, Ana Beatriz Dubugras
Matos, Giovanni Almeida
Santos, Lucas Santejo dos
Matos, Giovanni Almeida
Santos, Lucas Santejo dos
Orientador
Castro, Maria Claudia Claudia F.
Periódico
Título da Revista
ISSN da Revista
Título de Volume
Citação
Texto completo (DOI)
Palavras-chave
mouse ocular,acessibilidade,esclerose lateral amiotrófica,ocular mouse,accessibility,amyotrophic lateral sclerosis
Resumo
A cada 90 minutos, uma pessoa é diagnosticada com Esclerose Lateral Amiotrófica
(ELA). Essa doença é caracterizada pela perda progressiva do controle motor, levando a um quadro de paralisia irreversível, enquanto as funções cognitivas são preservadas. De forma semelhante, a Síndrome de Encarceramento retira a capacidade de movimento de todo o corpo, exceto dos olhos e pálpebras. Avanços na Engenharia Biomédica possibilitam o desenvolvimento de novas tecnologias que favorecem uma melhor qualidade de vida. Neste contexto, este projeto objetiva desenvolver um sistema de controle de cursor ocular para pessoas com níveis de paralisia severos através de sinais obtidos pelo eletrooculograma. A partir de
pesquisas abrangendo diferentes soluções de acessibilidade para sistemas computacionais e juntamente a testes realizados no projeto Eye Access, foram levantadas possíveis melhorias e novas funcionalidades, como mais alternativas de clique, incluindo clique duplo, clique e arrasta, clique com o botão direito e clique scroll, e a opção de aumento de velocidade do cursor. Foram utilizados eletrodos posicionados na face do usuário para a aquisição dos sinais, amplificador de instrumentação junto ao uso de filtros analógicos para o tratamento e o
microcontrolador para a análise e transcrição do movimento ocular para o movimento do cursor. Obteve-se um sinal similar ao apresentado na literatura, e a partir dele foram definidos limiares que foram utilizados para o reconhecimento do comando. Fundamentado a este método, alcançou-se uma acurácia global superior a 90%, validando este projeto.
Every 90 minutes, a person is diagnosed with Amyotrophic Lateral Sclerosis (ALS). This disease is characterized by progressive motor control loss, leading to irreversible paralysis, while cognitive functions are preserved. Similarly, Locked-in Syndrome removes the ability to move from the entire body except for the eyes and eyelids. Advances in Biomedical Engineering allow the development of new technologies that favor a better quality of life. In this context, this project aims to develop an eye cursor control system, designed for people with severe paralysis levels through signals obtained by the electrooculogram. From research covering different accessibility solutions for computer systems and together with tests carried out in the Eye Access project, improvements and new functionalities were raised, such as more click alternatives, including double-click, click and drag, right-click, and scroll, and cursor speed increase option. Electrodes positioned on the user's face were used for the signals acquisition, an instrumentation amplifier together with the use of analog filters for the treatment and the microcontroller for the analysis and transcription of the eye movement for the movement of the cursor. A signal similar to that presented in the literature was obtained, and from its thresholds were defined that were used for command recognition. Based on this method, an overall accuracy greater than 90% was achieved, validating the project.
Every 90 minutes, a person is diagnosed with Amyotrophic Lateral Sclerosis (ALS). This disease is characterized by progressive motor control loss, leading to irreversible paralysis, while cognitive functions are preserved. Similarly, Locked-in Syndrome removes the ability to move from the entire body except for the eyes and eyelids. Advances in Biomedical Engineering allow the development of new technologies that favor a better quality of life. In this context, this project aims to develop an eye cursor control system, designed for people with severe paralysis levels through signals obtained by the electrooculogram. From research covering different accessibility solutions for computer systems and together with tests carried out in the Eye Access project, improvements and new functionalities were raised, such as more click alternatives, including double-click, click and drag, right-click, and scroll, and cursor speed increase option. Electrodes positioned on the user's face were used for the signals acquisition, an instrumentation amplifier together with the use of analog filters for the treatment and the microcontroller for the analysis and transcription of the eye movement for the movement of the cursor. A signal similar to that presented in the literature was obtained, and from its thresholds were defined that were used for command recognition. Based on this method, an overall accuracy greater than 90% was achieved, validating the project.