Machine-Learning Assisted Handwriting Recognition Using Graphene Oxide-Based Hydrogel.

Liu, Ying; Zhuo, Fengling; Zhou, Jian; Kuang, Linjuan; Tan, Kaitao; Lu, Haibao; Cai, Jianbing; Guo, Yihao; Cao, Rongtao; Fu, YongQing; Duan, Huigao

Liu, Ying; Zhuo, Fengling; Zhou, Jian; Kuang, Linjuan; Tan, Kaitao; Lu, Haibao; Cai, Jianbing; Guo, Yihao; Cao, Rongtao; Fu, YongQing; Duan, Huigao.

Afiliación

Liu Y; College of Mechanical and Vehicle Engineering, Hunan University, Changsha410082, China.
Zhuo F; College of Mechanical and Vehicle Engineering, Hunan University, Changsha410082, China.
Zhou J; College of Mechanical and Vehicle Engineering, Hunan University, Changsha410082, China.
Kuang L; College of Mechanical and Vehicle Engineering, Hunan University, Changsha410082, China.
Tan K; College of Mechanical and Vehicle Engineering, Hunan University, Changsha410082, China.
Lu H; National Key Laboratory of Science and Technology on Advanced Composites in Special Environments, Harbin Institute of Technology, Harbin150080, China.
Cai J; College of Mechanical and Vehicle Engineering, Hunan University, Changsha410082, China.
Guo Y; College of Mechanical and Vehicle Engineering, Hunan University, Changsha410082, China.
Cao R; College of Mechanical and Vehicle Engineering, Hunan University, Changsha410082, China.
Fu Y; Faculty of Engineering and Environment, Northumbria University, Newcastle upon TyneNE1 8ST, United Kingdom.
Duan H; College of Mechanical and Vehicle Engineering, Hunan University, Changsha410082, China.

ACS Appl Mater Interfaces ; 14(48): 54276-54286, 2022 Dec 07.

Article en En | MEDLINE | ID: mdl-36417548

Asunto(s)

Escritura Manual; Hidrogeles; Aprendizaje Automático; Humanos; Hidrogeles/química; Robótica/métodos

Palabras clave

handwriting recognition; human−machine interaction; hydrogel; machine learning; stretchable sensor

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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Hidrogeles / Aprendizaje Automático / Escritura Manual Límite: Humans Idioma: En Revista: ACS Appl Mater Interfaces Asunto de la revista: BIOTECNOLOGIA / ENGENHARIA BIOMEDICA Año: 2022 Tipo del documento: Article País de afiliación: China Pais de publicación: Estados Unidos

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