Direct measurement of human movement by accelerometry

Godfrey, A.; Conway, R.; Meagher, D.; ÓLaighin, G.

doi:10.1016/j.medengphy.2008.09.005

Cited by 591Context-Aware Activity Recognition SystemsPhysical Activity and HealthBalance, Gait, and Falls Prevention

Direct measurement of human movement by accelerometry

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Godfrey, A., Conway, R., Meagher, D., ÓLaighin, G.·2008·Medical Engineering & Physics

DOI 10.1016/j.medengphy.2008.09.005

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Abstract

Human movement has been the subject of investigation since the fifth century when early scientists and researchers attempted to model the human musculoskeletal system. The anatomical complexities of the human body have made it a constant source of research to this day with many anatomical, physiological, mechanical, environmental, sociological and psychological studies undertaken to define its key elements. These studies have utilised modern day techniques to assess human movement in many illnesses. One such modern technique has been direct measurement by accelerometry, which was first suggested in the 1970s but has only been refined and perfected during the last 10-15 years. Direct measurement by accelerometry has seen the introduction of the successful implementation of low power, low cost electronic sensors that have been employed in clinical and home environments for the constant monitoring of patients (and their controls). The qualitative and quantitative data provided by these sensors make it possible for engineers, clinicians and physicians to work together to be able to help their patients in overcoming their physical disability. This paper presents the underlying biomechanical elements necessary to understand and study human movement. It also reflects on the sociological elements of human movement and why it is important in patient life and well being. Finally the concept of direct measurement by accelerometry is presented with past studies and modern techniques used for data analysis.

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Wearable sensors are wireless, small, and light, and have been suggested to overcome the lack of portability of laboratory systems.
“The use of wearable sensors has been suggested to overcome this lack of portability, as they are wireless, small, and light [3].”
From Validity and Reliability of Wearable Sensors for Joint Angle Estimation: A Systematic Review (2019) · cites this paper as [3]

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Authors: Godfrey, A., Conway, R., Meagher, D., & ÓLaighin, G.
Affiliations: University of Limerick (IE)
University Hospital Limerick (IE)
Corresponding author: Godfrey, A.
ORCID: Godfrey, A.
Meagher, D.
Venue: Medical Engineering & Physics
Publisher: IOP Publishing
Published: 2008-11-08
Volume: 30
Issue: 10
Pages: 1364-1386
ISSN: 1350-4533 (ISSN-L)
1873-4030
DOI: 10.1016/j.medengphy.2008.09.005
OpenAlex: W2164184994
Cited by: 591
References: 143
Citations by year: 2026: 19 · 2025: 27 · 2024: 19 · 2023: 17 · 2022: 27 · 2021: 24 · 2020: 42 · 2019: 41 · 2018: 39 · 2017: 30 · 2016: 51 · 2015: 41 · 2014: 44 · 2013: 54 · 2012: 38
FWCI: 37.30
Type: journal article
Language: en
Open access: green
doi.org
Licence: publishingsupport.iopscience.iop.org/iop-standard/v1 (vor)
iopscience.iop.org/info/page/text-and-data-mining (tdm)
Locations: Medical Engineering & Physics (publishedVersion)
PubMed (publishedVersion)
Northumbria Research Link (Northumbria University) (submittedVersion)
Newcastle University ePrints (Newcastle Univesity)
Topics: Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Context-Aware Activity Recognition Systems
Health Sciences › Medicine › Physiology › Physical Activity and Health
Health Sciences › Health Professions › Physical Therapy, Sports Therapy and Rehabilitation › Balance, Gait, and Falls Prevention
Keywords: accelerometry, human movement, gait analysis, wearable sensors, patient monitoring, biomechanics, musculoskeletal system, physical disability, clinical gait analysis
MeSH terms: Acceleration, Computer Simulation, Humans, Models, Biological, Movement, Monitoring, Ambulatory

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