DESIGN AND DEVELOPMENT OF HUMAN COMPUTER INTERFACE USING ELECTROOCULOGRAM WITH DEEP LEARNING.

Teng, Geer; He, Yue; Zhao, Hengjun; Liu, Dunhu; Xiao, Jin; Ramkumar, S

Teng, Geer; He, Yue; Zhao, Hengjun; Liu, Dunhu; Xiao, Jin; Ramkumar, S.

Afiliación

Teng G; The Faculty of Social development and Western China Development Studies, Sichuan University, Chengdu, 610065, China; School of Business, Sichuan University, Chengdu, 610065, China.
He Y; School of Business, Sichuan University, Chengdu, 610065, China.
Zhao H; School of Economics and Management, Sichuan Radio and TV University, Chengdu, 610073, China.
Liu D; Management Faculty, Chengdu University of Information Technology, Chengdu, 610065, China.
Xiao J; School of Business, Sichuan University, Chengdu, 610065, China. Electronic address: swwre43fdfgs@163.com.
Ramkumar S; School of Computing, Kalasalingam Academy of Research and Education, Krishnankoil, Virudhunagar (Dt), India.

Artif Intell Med ; 102: 101765, 2020 01.

Article en En | MEDLINE | ID: mdl-31980102

Asunto(s)

Aprendizaje Profundo; Electrooculografía/métodos; Interfaz Usuario-Computador; Adulto; Envejecimiento; Algoritmos; Artefactos; Electrodos; Movimientos Oculares; Femenino; Humanos; Masculino; Redes Neurales de la Computación; Reconocimiento de Normas Patrones Automatizadas; Reproducibilidad de los Resultados; Caracteres Sexuales

Palabras clave

Amyotrophic lateral sclerosis (ALS); Band Power (BP); Electrooculogram (EOG); Human Computer Interface (HCI); Pattern Recognition Neural Network (PRNN)

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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Interfaz Usuario-Computador / Electrooculografía / Aprendizaje Profundo Tipo de estudio: Prognostic_studies Límite: Adult / Female / Humans / Male Idioma: En Revista: Artif Intell Med Asunto de la revista: INFORMATICA MEDICA Año: 2020 Tipo del documento: Article País de afiliación: China

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