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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Veröffentlicht in:	Decision Support Systems Jg. 140; S. 113426
Hauptverfasser:	Tarafdar, Pratik, Bose, Indranil
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier B.V 01.01.2021
Schlagworte:	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
Online-Zugang:	Volltext
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