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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Bibliographic Details

Published in:	Decision Support Systems Vol. 140; p. 113426
Main Authors:	Tarafdar, Pratik, Bose, Indranil
Format:	Journal Article
Language:	English
Published:	Elsevier B.V 01.01.2021
Subjects:	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 Access:	Get full text
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