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A framework for supervising lifestyle diseases using long-term activity monitoring.

Authors
  • 1
  • 1 Department of Computer Engineering, Kyung Hee University, Seocheon-dong, Giheung-gu, Yongin-si, Gyeonggi-do, 446-701, Korea. [email protected]
Type
Published Article
Journal
Sensors
1424-8220
Publisher
MDPI AG
Publication Date
Volume
12
Issue
5
Pages
5363–5379
Identifiers
DOI: 10.3390/s120505363
PMID: 22778589
Source
Medline
Keywords
  • Activity Recognition
  • Framework
  • Lifestyle Disease
  • Sensor System
  • Ubiquitous Healthcare System

Abstract

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