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A survey of physical activity monitoring and assessment using internet of things technology

  • Jun Qi
    ,
  • Po Yang
    ,
  • Zhikun Deng
    ,
  • Dina Fan
  • Liverpool John Moores University
    ,
  • University of Bedfordshire
Research Output: Chapter in Book/Report/Conference proceeding Conference contribution Peer-review

Abstract

As a key health indictor, daily physical activity (PA) data has great significance on diagnosis and treatment of many chronic diseases. Numerous studies have been carried out for accurately monitoring and assessing physical activity. Most attentions of these studies focus on designing standalone highly accurate wearable sensors or investigating advance machine learning algorithms to train these PA data in a controlled environment. But the wide use of cost-effective wearable devices and mobile apps makes it possible to monitor and access PA into a more open and connective Internet of Things (IoT) environment. Yet, it still lacks of a systemic survey on how to effectively transfer classic PA monitoring and assessment (PAMA) technologies into a heterogeneous device connected IoT environment. In an effect to understand the development of IoT technologies in PAMA, this paper reviews current research of PAMA technologies from an IoT layerbased perspective, and also identifies research challenges and future trends. A main contribution of this review paper is that it is first attempt to categorize classic PAMA technologies into an IoT architecture systematically.

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 2353-2358

Publication milestones

  • Published - 28/12/2015

Publication status

Published - 28/12/2015

Publisher

Institute of Electrical and Electronics Engineers Inc., United States

ISBN (Electronic)

9781509001545

External Publication IDs

  • handle.net: 10547/623789
  • Scopus: 84964233723

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

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