Recognition of human activities for wellness management using a smartphone and a smartwatch: A boosting approach

Mobile health applications are considered to be powerful tools for activity-based wellness management. With the availability of multimodal sensors in smart devices used in our daily lives, it is possible to track human activity and deliver context-aware wellness services. The embedded sensors in nat...

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Vydané v:	Decision Support Systems Ročník 140; s. 113426
Hlavní autori:	Tarafdar, Pratik, Bose, Indranil
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Elsevier B.V 01.01.2021
Predmet:	Activity-based wellness management Boosting algorithms Human activity recognition Machine learning Mobile health Multimodal sensors Activity-based wellness management Multimodal sensors Human activity recognition Boosting algorithms Machine learning Mobile health
ISSN:	0167-9236
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