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Improving the Validity of Lifelogging Physical Activity Measures in an Internet of Things Environment

Yang, P, Hanneghan, M, Qi, J, Deng, Z, Dong, F and Fan, D (2015) Improving the Validity of Lifelogging Physical Activity Measures in an Internet of Things Environment. In: IET Networks . (2015 IEEE International Conference on Computer and Information Technology; Ubiquitous Computing and Communications; Dependable, Autonomic and Secure Computing; Pervasive Intelligence and Computing, 26-28 Oct. 2015, Liverpool).

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The popular use of wearable devices and mobile phones makes the effective capture of lifelogging physical activity data in an Internet of Things (IoT) environment possible. The effective collection of measures of physical activity in the long term is beneficial to interdisciplinary healthcare research and collaboration from clinicians, researchers and patients. However, due to heterogeneity of connected devices and rapid change of diverse life patterns in an IoT environment, lifelogging physical activity information captured by mobile devices usually contains much uncertainty. In this paper, we project the distribution of irregular uncertainty by defining a walking speed related score named as Daily Activity in Physical Space (DAPS) and present an ellipse-fitting model-based validity improvement method for reducing uncertainties of life-logging physical activity measures in an IoT environment. The experimental results reflect that the proposed method remarkably improves the validity of physical activity measures in a healthcare platform.

Item Type: Conference or Workshop Item (Paper)
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
R Medicine > RA Public aspects of medicine > RA0421 Public health. Hygiene. Preventive Medicine
Divisions: Computer Science & Mathematics
Publisher: IET
Date Deposited: 21 Nov 2018 16:03
Last Modified: 19 Apr 2022 16:00
DOI or ID number: 10.1109/CIT/IUCC/DASC/PICOM.2015.341
URI: https://researchonline.ljmu.ac.uk/id/eprint/9706

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