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Validation of a commercial android smartwatch as an activity monitoring platform
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Amor, James D. and James, Christopher J. (2018) Validation of a commercial android smartwatch as an activity monitoring platform. IEEE Journal of Biomedical and Health Informatics, 22 (4). pp. 968-978. doi:10.1109/JBHI.2017.2732678 ISSN 2168-2194.
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Official URL: http://dx.doi.org/10.1109/JBHI.2017.2732678
Abstract
Activity monitoring (AM) is an established technique for the assessment of a person's physical activity. With the rapid rise of smartwatch technology, this platform presents an interesting opportunity to use a device for AM that has both the ability to monitor activity and also the ability to interface seamlessly with other healthcare systems. There are questions however around the suitability of smartwatches as monitoring devices. This paper presents a validation of one smartwatch, the ZGPAX S8, for use as an activity monitor. Two experiments are presented: a physical manipulation test and a co-location test. In the physical manipulation test, three S8s are compared to a reference accelerometer under human physical manipulation. In the co-location test, the smartwatch is used alongside a reference device for a period of three hours by four participants to assess both the accelerometer data and the results of processing on data from both devices. Findings from these experiments show that the S8 accelerometer has a good correlation and limits of agreement in the physical manipulation test (r 2 ~ 0.95, CR ~ 2.5 m/s 2 ), and excellent correlation and limits of agreement in the analysis of processed data from the co-location experiment (r 2 ~ 0.99, CR ~ 0.23). From these results, the S8 is evaluated to be a suitable device for AM. Some specific limitations in the S8 are identified such as data range clipping, time drift and sample rate consistency, but these are not found to impact on the suitability of the device once algorithmic processing is applied to the data.
| Item Type: | Journal Article | ||||||||
|---|---|---|---|---|---|---|---|---|---|
| Divisions: | Faculty of Science, Engineering and Medicine > Engineering > Engineering | ||||||||
| Journal or Publication Title: | IEEE Journal of Biomedical and Health Informatics | ||||||||
| Publisher: | IEEE | ||||||||
| ISSN: | 2168-2194 | ||||||||
| Official Date: | July 2018 | ||||||||
| Dates: |
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| Volume: | 22 | ||||||||
| Number: | 4 | ||||||||
| Page Range: | pp. 968-978 | ||||||||
| DOI: | 10.1109/JBHI.2017.2732678 | ||||||||
| Status: | Peer Reviewed | ||||||||
| Publication Status: | Published | ||||||||
| Access rights to Published version: | Open Access (Creative Commons) |
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