Advances in wearable/mobile device technologies make possible long-term recording of data in our everyday life contexts. Of particular interest is availability of inertial sensors allowing to monitor daily physical activity behavior, which is thought to include useful information on physiology, age/disease related functional capacity, and quality of life. The challenging task in this interdisciplinary research context is to translate the raw data into interpretable information and knowledge that can be further exploited to provide valid hypothesis, objective evaluation and diagnosis. The aim of this paper is to present a methodological framework that brings together monitoring technology, mathematical tools and modern clinical concepts of physiological complexity, with the aim to reveal and quantify aspects of age-/health-related physical behavior embedded in patterns of everyday life activity.

References

[1]

Lipsitz, L. A. (2004). Physiological complexity, aging, and the path to frailty. Science's SAGE KE, (16), pe16.

Google Scholar

[2]

West, B. J. (2006). Where medicine went wrong: Rediscovering the path to complexity. New Jersey: World Scientific.

Crossref

Google Scholar

[3]

Paraschiv-Ionescu, A., Perruchoud, C., Buchser, E., & Aminian, K.(2012). Barcoding human physical activity to assess chronic pain conditions. PloS one, 7(2)

Google Scholar

[4]

Paraschiv-Ionescu, A., Buchser, E., & Aminian, K. (2013). Unraveling dynamics of human physical activity patterns in chronic pain conditions. Scientific reports, 3.

Google Scholar

[5]

Mellone, S., Tacconi, C., & Chiari, L. (2012). Validity of a Smartphone-based instrumented Timed Up and Go. Gait & posture, 36(1), 163--165.

Google Scholar

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Trumpf RSchulte LSchroeder HLarsen RHaussermann PZijlstra WFleiner T(2023)Physical activity monitoring-based interventions in geriatric patients: a scoping review on intervention components and clinical applicabilityEuropean Review of Aging and Physical Activity10.1186/s11556-023-00320-920:1Online publication date: 18-May-2023
https://doi.org/10.1186/s11556-023-00320-9
Fleiner TTrumpf RHollinger AHaussermann PZijlstra W(2021)Quantifying Circadian Aspects of Mobility-Related Behavior in Older Adults by Body-Worn Sensors—An “Active Period Analysis”Sensors10.3390/s2106212121:6(2121)Online publication date: 18-Mar-2021
https://doi.org/10.3390/s21062121
Elvitigala DMatthies DWeerasinghe CNanayakkara SMakedon F(2021)GymSoles++: Combining Google Glass with Smart Insoles to Improve Body Posture when Performing SquatsProceedings of the 14th PErvasive Technologies Related to Assistive Environments Conference10.1145/3453892.3453898(48-54)Online publication date: 29-Jun-2021
https://dl.acm.org/doi/10.1145/3453892.3453898
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Index Terms

Patterns of human activity behavior: from data to information and clinical knowledge
1. Applied computing
  1. Life and medical sciences
    1. Consumer health
    2. Health informatics
  2. Physical sciences and engineering
    1. Mathematics and statistics

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UbiComp '16: Proceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing: Adjunct

September 2016

1807 pages

ISBN:9781450344623

DOI:10.1145/2968219

General Chairs:
Paul Lukowicz
DFKI and University of Kaiserslautern
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Antonio Krüger
DFKI and Saarland University
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Max Planck Institute for Informatics
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Youn-Kyung Lim
KAIST
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Shwetak N. Patel
University of Washington

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Published: 12 September 2016

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Trumpf RSchulte LSchroeder HLarsen RHaussermann PZijlstra WFleiner T(2023)Physical activity monitoring-based interventions in geriatric patients: a scoping review on intervention components and clinical applicabilityEuropean Review of Aging and Physical Activity10.1186/s11556-023-00320-920:1Online publication date: 18-May-2023
https://doi.org/10.1186/s11556-023-00320-9
Fleiner TTrumpf RHollinger AHaussermann PZijlstra W(2021)Quantifying Circadian Aspects of Mobility-Related Behavior in Older Adults by Body-Worn Sensors—An “Active Period Analysis”Sensors10.3390/s2106212121:6(2121)Online publication date: 18-Mar-2021
https://doi.org/10.3390/s21062121
Elvitigala DMatthies DWeerasinghe CNanayakkara SMakedon F(2021)GymSoles++: Combining Google Glass with Smart Insoles to Improve Body Posture when Performing SquatsProceedings of the 14th PErvasive Technologies Related to Assistive Environments Conference10.1145/3453892.3453898(48-54)Online publication date: 29-Jun-2021
https://dl.acm.org/doi/10.1145/3453892.3453898
Elvitigala DMatthies DDavid LWeerasinghe CNanayakkara SBrewster SFitzpatrick GCox AKostakos V(2019)GymSolesProceedings of the 2019 CHI Conference on Human Factors in Computing Systems10.1145/3290605.3300404(1-12)Online publication date: 2-May-2019
https://dl.acm.org/doi/10.1145/3290605.3300404

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Wearable Sensing Framework for Human Activity Monitoring

The human behaviour indicator: A measure of behavioural evolution

Evaluating Human Activity and Usage Patterns of Appliances with Smart Meters

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