Feasibility Study Comparing Physical Activity Classifications from Accelerometers with Wearable Camera Data
Bibliographic Data
| ID | 15464837 |
|---|---|
| Authors | Alyse Davies (0000-0002-9448-7539, The University of Sydney, corresponding author), Margaret Allman‐Farinelli (0000-0002-6478-1374, The University of Sydney), Katherine Owen (0000-0001-5248-3030, The University of Sydney), Louise Signal (0000-0003-4715-6718, University of Otago), Cameron Hosking (0000-0002-5563-8832, Transformational Bioinformatics Group, Commonwealth Scientific and Industrial Research Organization, North Ryde, Sydney, NSW 2113, Australia), Leanne Wang (0000-0001-8083-4897, The University of Sydney), Adrian Bauman (0000-0002-0369-4621, The University of Sydney) |
| Year | 2020 |
| Volume | 17 |
| Issue | 24 |
| Pages | 9323-9323 |
| Publication date | 2020-12-13 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | International Journal of Environmental Research and Public Health (JOURNAL) |
| Journal identifiers | ISSN: 1661-7827 • E-ISSN: 1660-4601 |
| Publisher | Multidisciplinary Digital Publishing Institute (PUBLISHER • CH) |
| DOI | 10.3390/ijerph17249323 |
| PMID | 33322117 |
| OpenAlex | W3113022686 |
| Language | EN |
| References cited | 33 |
Device-based assessments are frequently used to measure physical activity (PA) but contextual measures are often lacking. There is a need for new methods, and one under-explored option is the use of wearable cameras. This study tested the use of wearable cameras in PA measurement by comparing intensity classifications from accelerometers with wearable camera data. Seventy-eight 18-30-year-olds wore an Actigraph GT9X link accelerometer and Autographer wearable camera for three consecutive days. An image coding schedule was designed to assess activity categories and activity sub-categories defined by the 2011 Compendium of Physical Activities (Compendium). Accelerometer hourly detailed files processed using the Montoye (2020) cut-points were linked to camera data using date and time stamps. Agreement was examined using equivalence testing, intraclass correlation coefficient (ICC) and Spearman's correlation coefficient (rho). Fifty-three participants contributing 636 person-hours were included. Reliability was moderate to good for sedentary behavior (rho = 0.77), light intensity activities (rho = 0.59) and moderate-to-vigorous physical activity (MVPA) (rho = 0.51). The estimates of sedentary behavior, light activity and MVPA from the two methods were similar, but not equivalent. Wearable cameras are a potential complementary tool for PA measurement, but practical challenges and limitations exist. While wearable cameras may not be feasible for use in large scale studies, they may be feasible in small scale studies where context is important
Accelerometer · Actigraphy · Compendium · Context (archaeology · Embedded system · Geography · Intraclass correlation · Pedometer · Physical activity · Physical medicine and rehabilitation · Reproducibility · Statistics · Wearable computer · Wearable technology · Computer Science · Mathematics · Medicine · Mobile Health and mHealth Applications · Obesity, Physical Activity, Diet · Physical Activity and Health · Artificial Intelligence
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| Highly cited | No |
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