Binary Sensors-Based Privacy-Preserved Activity Recognition of Elderly Living Alone Using an RNN.

Tan, Tan-Hsu; Badarch, Luubaatar; Zeng, Wei-Xiang; Gochoo, Munkhjargal; Alnajjar, Fady S; Hsieh, Jun-Wei

Tan, Tan-Hsu; Badarch, Luubaatar; Zeng, Wei-Xiang; Gochoo, Munkhjargal; Alnajjar, Fady S; Hsieh, Jun-Wei.

Afiliación

Tan TH; Department of Electrical Engineering, National Taipei University of Technology, Taipei 10617, Taiwan.
Badarch L; Department of Electronics, School of Information and Communication Technology, Mongolian University of Science and Technology, Ulaanbaatar 13341, Mongolia.
Zeng WX; Wistron Corporation, Taipei 11469, Taiwan.
Gochoo M; Department of Electrical Engineering, National Taipei University of Technology, Taipei 10617, Taiwan.
Alnajjar FS; Department of Computer Science and Software Engineering, College of Information Technology, United Arab Emirates University, Al-Ain P.O. Box 15551, United Arab Emirates.
Hsieh JW; Department of Computer Science and Software Engineering, College of Information Technology, United Arab Emirates University, Al-Ain P.O. Box 15551, United Arab Emirates.

Sensors (Basel) ; 21(16)2021 Aug 09.

Article en En | MEDLINE | ID: mdl-34450809

Asunto(s)

Actividades Cotidianas; Dispositivos Electrónicos Vestibles; Anciano; Humanos; Memoria a Largo Plazo; Redes Neurales de la Computación; Privacidad

Palabras clave

begin time-stamp; convolutional neural network; device-free; infrared; long short-term memory; previous activity; privacy-preserving

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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Actividades Cotidianas / Dispositivos Electrónicos Vestibles Tipo de estudio: Prognostic_studies Límite: Aged / Humans Idioma: En Revista: Sensors (Basel) Año: 2021 Tipo del documento: Article País de afiliación: Taiwán Pais de publicación: Suiza

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