IRDC-Net: An Inception Network with a Residual Module and Dilated Convolution for Sign Language Recognition Based on Surface Electromyography.

Wang, Xiangrui; Tang, Lu; Zheng, Qibin; Yang, Xilin; Lu, Zhiyuan

Wang, Xiangrui; Tang, Lu; Zheng, Qibin; Yang, Xilin; Lu, Zhiyuan.

Afiliación

Wang X; School of Health Science and Engineering, University of Shanghai for Science and Technology, Shanghai 200093, China.
Tang L; School of Health Science and Engineering, University of Shanghai for Science and Technology, Shanghai 200093, China.
Zheng Q; School of Health Science and Engineering, University of Shanghai for Science and Technology, Shanghai 200093, China.
Yang X; School of Health Science and Engineering, University of Shanghai for Science and Technology, Shanghai 200093, China.
Lu Z; School of Rehabilitation Science and Engineering, University of Health and Rehabilitation Sciences, Qingdao 266072, China.

Sensors (Basel) ; 23(13)2023 Jun 21.

Article en En | MEDLINE | ID: mdl-37447625

Asunto(s)

Reconocimiento de Normas Patrones Automatizadas; Lengua de Signos; Humanos; Electromiografía/métodos; Reconocimiento de Normas Patrones Automatizadas/métodos; Redes Neurales de la Computación; Reconocimiento en Psicología

Palabras clave

dilated convolution; inception network; residual module; sign language recognition; surface electromyogram

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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Lengua de Signos / Reconocimiento de Normas Patrones Automatizadas Tipo de estudio: Prognostic_studies Límite: Humans Idioma: En Revista: Sensors (Basel) Año: 2023 Tipo del documento: Article País de afiliación: China Pais de publicación: Suiza

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