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Awais, Muhammad 
ORCID: https://orcid.org/0000-0001-6421-9245
(2016)
Physical activity classification meeting daily life conditions.
In:
Proceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing Adjunct - UbiComp '16.
UNSPECIFIED, pp. 393-398.
ISBN 9781450344623
Abstract
Physical activity is one of the key factors in determining the personal health and well-being of human beings in daily life conditions. Healthy ageing and physical activity has a strong association and ageing has become one of the highly concentrated area of research community in the past decade due to the expected increase in the elderly population. A statistical survey published by European Union (EU) in 2012 shows that the elderly population (over 65 years) of Europe, is expected to increase from 87.5 million to 152.6 million (65.1 million increase) during the period from 2010 to 2016 [1]. Physical inactivity and more sedentary life style can lead towards many chronic and life threatening diseases in older adults such as diabetes, cancer, cardiovascular and other lethal diseases. These damages can be controlled by performing various activities and vigorous exercises in daily life, in addition to medications to promote a healthier lifestyle [2].
| Item Type: | Book Section |
|---|---|
| Uncontrolled Keywords: | sdg 3 - good health and well-being ,/dk/atira/pure/sustainabledevelopmentgoals/good_health_and_well_being |
| Faculty \ School: | Faculty of Science > School of Computing Sciences |
| UEA Research Groups: | Faculty of Science > Research Groups > Data Science and AI |
| Depositing User: | LivePure Connector |
| Date Deposited: | 17 Oct 2023 00:49 |
| Last Modified: | 10 Dec 2024 01:13 |
| URI: | https://ueaeprints.uea.ac.uk/id/eprint/93340 |
| DOI: | 10.1145/2968219.2971353 |
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