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A Novel Segmentation Scheme with Multi-Probability Threshold for Human Activity Recognition Using Wearable Sensors.
Zhou, Bangwen; Wang, Cheng; Huan, Zhan; Li, Zhixin; Chen, Ying; Gao, Ge; Li, Huahao; Dong, Chenhui; Liang, Jiuzhen.
Afiliación
  • Zhou B; School of Computer Science and Artificial Intelligence, Aliyun School of Big Data, School of Software, Changzhou University, Changzhou 213000, China.
  • Wang C; School of Computer Science and Artificial Intelligence, Aliyun School of Big Data, School of Software, Changzhou University, Changzhou 213000, China.
  • Huan Z; School of Microelectronics and Control Engineering, Changzhou University, Changzhou 213000, China.
  • Li Z; School of Microelectronics and Control Engineering, Changzhou University, Changzhou 213000, China.
  • Chen Y; School of Microelectronics and Control Engineering, Changzhou University, Changzhou 213000, China.
  • Gao G; School of Computer Science and Artificial Intelligence, Aliyun School of Big Data, School of Software, Changzhou University, Changzhou 213000, China.
  • Li H; School of Computer Science and Artificial Intelligence, Aliyun School of Big Data, School of Software, Changzhou University, Changzhou 213000, China.
  • Dong C; School of Microelectronics and Control Engineering, Changzhou University, Changzhou 213000, China.
  • Liang J; School of Computer Science and Artificial Intelligence, Aliyun School of Big Data, School of Software, Changzhou University, Changzhou 213000, China.
Sensors (Basel) ; 22(19)2022 Sep 30.
Article en En | MEDLINE | ID: mdl-36236542
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Texto completo: 1 Bases de datos: MEDLINE Asunto principal: Dispositivos Electrónicos Vestibles / Actividades Humanas Tipo de estudio: Prognostic_studies Límite: Humans Idioma: En Revista: Sensors (Basel) Año: 2022 Tipo del documento: Article País de afiliación: China
Texto completo
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Texto completo: 1 Bases de datos: MEDLINE Asunto principal: Dispositivos Electrónicos Vestibles / Actividades Humanas Tipo de estudio: Prognostic_studies Límite: Humans Idioma: En Revista: Sensors (Basel) Año: 2022 Tipo del documento: Article País de afiliación: China