Improving the validity of lifelogging physical activity measures in an internet of things environment

Po Yang
,
Martin Hanneghan
,
Jun Qi
,
Zhikun Deng
,
Feng Dong
,
Dina Fan

Liverpool John Moores University
,
University of Bedfordshire

Research Output: Chapter in Book/Report/Conference proceeding Conference contribution Peer-review

Abstract

Recently, the popular use of wearable devices and mobile apps makes the effectively 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 to 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 provide a comprehensive review of existing life-logging physical activity measurement devices, and identify regular and irregular uncertainties of these activity measures in an IoT environment. We then project the distribution of irregular uncertainty by defining a walking speed related score named as Daily Activity in Physical Space (DAPS). Finally, we 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 effectively improves the validity of physical activity measures in a healthcare platform.

Publication Information

Output type

Research Output: Chapter in Book/Report/Conference proceeding Conference contribution Peer-review

Original language

English

Pages from-to (Number of pages)

Pages 2309-2314

Publication milestones

Published - 28/12/2015

Publication status

Published - 28/12/2015

Publisher

Institute of Electrical and Electronics Engineers Inc., United States

ISBN (Print)

9781509001545

External Publication IDs

handle.net: 10547/623787
Scopus: 84964267366

Host publication title

2015 IEEE International Conference on Computer and Information Technology; Ubiquitous Computing and Communications; Dependable, Autonomic and Secure Computing; Pervasive Intelligence and Computing