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Machine Learning-Enabled Intelligent Gesture Recognition and Communication System Using Printed Strain Sensors.
Hu, Minglu; He, Pei; Zhao, Weikai; Zeng, Xianghui; He, Jiaorui; Chen, Yucheng; Xu, Xiaowen; Sun, Jia; Li, Zheling; Yang, Junliang.
Afiliação
  • Hu M; Hunan Key Laboratory for Super Microstructure and Ultrafast Process, School of Physics and Electronics, Central South University, Changsha, Hunan 410083, P. R. China.
  • He P; Hunan Key Laboratory for Super Microstructure and Ultrafast Process, School of Physics and Electronics, Central South University, Changsha, Hunan 410083, P. R. China.
  • Zhao W; Hunan Key Laboratory for Super Microstructure and Ultrafast Process, School of Physics and Electronics, Central South University, Changsha, Hunan 410083, P. R. China.
  • Zeng X; Hunan Key Laboratory for Super Microstructure and Ultrafast Process, School of Physics and Electronics, Central South University, Changsha, Hunan 410083, P. R. China.
  • He J; Hunan Key Laboratory for Super Microstructure and Ultrafast Process, School of Physics and Electronics, Central South University, Changsha, Hunan 410083, P. R. China.
  • Chen Y; Hunan Key Laboratory for Super Microstructure and Ultrafast Process, School of Physics and Electronics, Central South University, Changsha, Hunan 410083, P. R. China.
  • Xu X; Hunan Key Laboratory for Super Microstructure and Ultrafast Process, School of Physics and Electronics, Central South University, Changsha, Hunan 410083, P. R. China.
  • Sun J; Hunan Key Laboratory for Super Microstructure and Ultrafast Process, School of Physics and Electronics, Central South University, Changsha, Hunan 410083, P. R. China.
  • Li Z; College of Aerospace Engineering, Chongqing University, Chongqing 400044, P. R. China.
  • Yang J; Hunan Key Laboratory for Super Microstructure and Ultrafast Process, School of Physics and Electronics, Central South University, Changsha, Hunan 410083, P. R. China.
Article em En | MEDLINE | ID: mdl-37883672

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: ACS Appl Mater Interfaces Assunto da revista: BIOTECNOLOGIA / ENGENHARIA BIOMEDICA Ano de publicação: 2023 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: ACS Appl Mater Interfaces Assunto da revista: BIOTECNOLOGIA / ENGENHARIA BIOMEDICA Ano de publicação: 2023 Tipo de documento: Article
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