Please use this identifier to cite or link to this item: http://hdl.handle.net/1893/23419
Appears in Collections:Faculty of Health Sciences and Sport Journal Articles
Peer Review Status: Refereed
Title: Accuracy of Posture Allocation Algorithms for Thigh- and Waist-Worn Accelerometers
Authors: Edwardson, Charlotte L
Rowlands, Alex V
Bunnewell, Sarah
Sanders, James
Esliger, Dale W
Gorely, Trish
O'Connell, Sophie
Davies, Melanie J
Khunti, Kamlesh
Yates, Thomas
Contact Email: trish.gorely@stir.ac.uk
Keywords: sitting
standing
sedentary behavior
inclinometer
open source
Issue Date: Jun-2016
Publisher: American College of Sports Medicine
Citation: Edwardson CL, Rowlands AV, Bunnewell S, Sanders J, Esliger DW, Gorely T, O'Connell S, Davies MJ, Khunti K & Yates T (2016) Accuracy of Posture Allocation Algorithms for Thigh- and Waist-Worn Accelerometers, Medicine and Science in Sports and Exercise, 48 (6), pp. 1085-1090.
Abstract: The objective of this study is to compare the accuracy of the activPAL and ActiGraph GT3X+ (waist and thigh) proprietary postural allocation algorithms and an open-source postural allocation algorithm applied to GENEActiv (thigh) and ActiGraph GT3X+ (thigh) data.Thirty-four adults (≥18 yr) wore the activPAL3, GENEActiv, and ActiGraph GT3X+ on the right thigh and an ActiGraph on the right hip while performing four lying, seven sitting, and five upright activities in the laboratory. Lying and sitting tasks incorporated a range of leg angles (e.g., lying with legs bent and sitting with legs crossed). Each activity was performed for 5 min while being directly observed. The percentage of the time the posture was correctly classified was calculated.Participants consisted of 14 males and 20 females (mean age, 27.2 ± 5.9 yr; mean body mass index, 23.8 ± 3.7 kg·m). All postural allocation algorithms applied to monitors worn on the thigh correctly classified ≥93% of the time lying, ≥91% of the time sitting, and ≥93% of the time upright. The ActiGraph waist proprietary algorithm correctly classified 72% of the time lying, 58% of the time sitting, and 74% of the time upright. Both the activPAL and ActiGraph thigh proprietary algorithms misclassified sitting on a chair with legs stretched out (58% and 5% classified incorrectly, respectively). The ActiGraph thigh proprietary and open-source algorithm applied to the thigh-worn ActiGraph misclassified participants lying on their back with their legs bent 27% and 9% of the time, respectively.All postural allocation algorithms when applied to devices worn on the thigh were highly accurate in identifying lying, sitting, and upright postures. Given the poor accuracy of the waist algorithm for detecting sitting, caution should be taken if inferring sitting time from a waist-worn device.
Type: Journal Article
URI: http://hdl.handle.net/1893/23419
DOI Link: http://dx.doi.org/10.1249/MSS.0000000000000865
Rights: The publisher does not allow this work to be made publicly available in this Repository. Please use the Request a Copy feature at the foot of the Repository record to request a copy directly from the author. You can only request a copy if you wish to use this work for your own research or private study.
Affiliation: University of Leicester
University of Leicester
Loughborough University
Loughborough University
Loughborough University
Health Sciences Highland
University Hospitals of Leicester NHS Trust
University of Leicester
University of Leicester
University of Leicester

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