research-article

Wireless non-invasive motion tracking of functional behavior

Authors:

Michael LawoAuthors Info & Claims

Volume 54, Issue C

Pages 29 - 44

https://doi.org/10.1016/j.pmcj.2019.01.006

Published: 01 March 2019 Publication History

Abstract

The prevalence of a sedentary lifestyle is a major contributor to many chronic afflictions in modern society. Objective study and monitoring to gain an accurate understanding of situated sedentary behavior, for example when at home, present considerable challenges, e.g. regarding ecological validity. Non-intrusive monitoring based on Wi-Fi signals provides a new way to gain insights into populations that are at risk of the negative effects of a sedentary lifestyle, or who are already in functional rehabilitation. In this paper we describe a tracking technology for everyday activities that consists of two parts: (1) recognizing general physical activity, as well as the activities of common classes; and (2) measuring the statistical duration of these recognized categories. Employing common commercial Wi-Fi equipment, we performed validation studies in a typical noisy family home environment, achieving the following key results: (1) a recognition rate of the general presence of physical activity of 99.05%, an average recognition rate of 92% when detecting four common classes of activities; and (2) Kappa coefficient analysis to evaluate the consistency of the statistical duration of the automatic activity detection based on Wi-Fi signals and manually coded activity detection based on camera recordings. The coefficient for the presence of general physical activity of .93 and the average consistency coefficient of the classified activity categories of .72 suggest a high reliability of the automatic detection outcomes. This work aims to support both research and interventions for the prevention, treatment, and rehabilitation of the consequences of a sedentary lifestyle, by establishing new technologies and methods for observing everyday functional activities that are crucial for individual independent living and well-being.

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Cited By

Liu SChen YWang HLiang HChen L(2022)A Low-Calculation Contactless Continuous Authentication Based on Postural TransitionIEEE Transactions on Information Forensics and Security10.1109/TIFS.2022.319627017(3077-3090)Online publication date: 1-Jan-2022
https://dl.acm.org/doi/10.1109/TIFS.2022.3196270
Rainey JVerweij DDodds CGraeber JFarhadi FAli RZhang VBull CSmeddinck J(2021)Data Contribution Summaries for Patient Engagement in Multi-Device Health Monitoring ResearchAdjunct Proceedings of the 2021 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2021 ACM International Symposium on Wearable Computers10.1145/3460418.3479371(536-541)Online publication date: 21-Sep-2021
https://dl.acm.org/doi/10.1145/3460418.3479371

Index Terms

Wireless non-invasive motion tracking of functional behavior
1. Computing methodologies
  1. Artificial intelligence
    1. Computer vision
      1. Computer vision problems

Index terms have been assigned to the content through auto-classification.

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Published In

cover image Pervasive and Mobile Computing

Pervasive and Mobile Computing Volume 54, Issue C

Mar 2019

88 pages

ISSN:1574-1192

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Elsevier B.V.

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Elsevier Science Publishers B. V.

Netherlands

Publication History

Published: 01 March 2019

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Cited By

Liu SChen YWang HLiang HChen L(2022)A Low-Calculation Contactless Continuous Authentication Based on Postural TransitionIEEE Transactions on Information Forensics and Security10.1109/TIFS.2022.319627017(3077-3090)Online publication date: 1-Jan-2022
https://dl.acm.org/doi/10.1109/TIFS.2022.3196270
Rainey JVerweij DDodds CGraeber JFarhadi FAli RZhang VBull CSmeddinck J(2021)Data Contribution Summaries for Patient Engagement in Multi-Device Health Monitoring ResearchAdjunct Proceedings of the 2021 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2021 ACM International Symposium on Wearable Computers10.1145/3460418.3479371(536-541)Online publication date: 21-Sep-2021
https://dl.acm.org/doi/10.1145/3460418.3479371

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