A Survey of Human Activity Recognition in Smart Homes Based on IoT Sensors Algorithms: Taxonomies, Challenges, and Opportunities with Deep Learning

A Survey of Human Activity Recognition in Smart Homes Based on IoT Sensors Algorithms: Taxonomies, Challenges, and Opportunities with Deep Learning

Recent advances in Internet of Things (IoT) technologies and the reduction in the cost of sensors have encouraged the development of smart environments, such as smart homes. Smart homes can offer home assistance services to improve the quality of life, autonomy, and health of their residents, especi...

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Detaylı Bibliyografya
Asıl Yazarlar: Damien Bouchabou, Sao Mai Nguyen, Christophe Lohr, Benoit LeDuc, Ioannis Kanellos
Materyal Türü: Makale
Dil:English
Baskı/Yayın Bilgisi: MDPI AG 2021-09-01
Seri Bilgileri:Sensors
Konular:
survey
human activity recognition
deep learning
smart home
ambient assisting living
taxonomies
Online Erişim:https://www.mdpi.com/1424-8220/21/18/6037

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