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An iPhone application for upper arm posture and movement measurements
Karolinska Institutet, Stockholm.ORCID-id: 0000-0002-1697-9781
2017 (engelsk)Inngår i: Applied Ergonomics, ISSN 0003-6870, E-ISSN 1872-9126, Vol. 65, s. 492-500Artikkel i tidsskrift (Fagfellevurdert) Published
Abstract [en]

There is a need for objective methods for upper arm elevation measurements for accurate and convenient risk assessments. The aims of this study were (i) to compare a newly developed iOS application (iOS) for measuring upper arm elevation and angular velocity with a reference optical tracking system (OTS), and (ii) to compare the accuracy of the iOS incorporating a gyroscope and an accelerometer with using only an accelerometer, which is standard for inclinometry. The iOS–OTS limits of agreement for static postures (9 subjects) were −4.6° and 4.8°. All root mean square differences in arm swings and two simulated work tasks were <6.0°, and all mean correlation coefficients were >0.98. The mean absolute iOS–OTS difference of median angular velocity was <13.1°/s, which was significantly lower than only using an accelerometer (<43.5°/s). The accuracy of this iOS application compares well to that of today’s research methods and it can be useful for practical upper arm measurements. © 2017 The Authors

sted, utgiver, år, opplag, sider
Elsevier Ltd , 2017. Vol. 65, s. 492-500
Emneord [en]
Accelerometry; Adult; Arm; Biomechanical Phenomena; Female; Humans; Male; Middle Aged; Mobile Applications; Movement; Posture; Reproducibility of Results; Smartphone; Young Adult; Accelerometers; Angular velocity; Ergonomics; Gyroscopes; Risk assessment; Arm swing; Correlation coefficient; Objective methods; Optical tracking systems; Root mean square differences; Static postures; Work task; Work-related musculoskeletal disorders; accelerometry; adult; Article; body height; body position; body weight; computer analysis; female; human; intermethod comparison; male; measurement accuracy; mobile application; mobile phone; movement (physiology); musculoskeletal system parameters; optical tracking system; software; task performance; upper arm posture; validation study; arm; biomechanics; body position; evaluation study; middle aged; physiology; procedures; reproducibility; smartphone; young adult; iOS (operating system)
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URN: urn:nbn:se:du-51791DOI: 10.1016/j.apergo.2017.02.012Scopus ID: 2-s2.0-85014522150OAI: oai:DiVA.org:du-51791DiVA, id: diva2:2014122
Tilgjengelig fra: 2025-11-17 Laget: 2025-11-17 Sist oppdatert: 2025-11-17bibliografisk kontrollert

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