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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מידע ביבליוגרפי
Main Authors: Damien Bouchabou, Sao Mai Nguyen, Christophe Lohr, Benoit LeDuc, Ioannis Kanellos
פורמט: Article
שפה:English
יצא לאור: MDPI AG 2021-09-01
סדרה:Sensors
נושאים:
survey
human activity recognition
deep learning
smart home
ambient assisting living
taxonomies
גישה מקוונת:https://www.mdpi.com/1424-8220/21/18/6037

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