Research Article
Not All Errors Are Created Equal: Influence of User Characteristics on Measurement Errors of Consumer Wearable Devices for Sleep Tracking
@ARTICLE{10.4108/eai.24-7-2018.159404, author={Zilu Liang and Mario Alberto Chapa Martell}, title={Not All Errors Are Created Equal: Influence of User Characteristics on Measurement Errors of Consumer Wearable Devices for Sleep Tracking}, journal={EAI Endorsed Transactions on Pervasive Health and Technology}, volume={4}, number={15}, publisher={EAI}, journal_a={PHAT}, year={2018}, month={7}, keywords={wearable, sleep, validation, error analysis, Fitbit, EEG, personal informatics}, doi={10.4108/eai.24-7-2018.159404} }
- Zilu Liang
Mario Alberto Chapa Martell
Year: 2018
Not All Errors Are Created Equal: Influence of User Characteristics on Measurement Errors of Consumer Wearable Devices for Sleep Tracking
PHAT
EAI
DOI: 10.4108/eai.24-7-2018.159404
Abstract
Consumer sleep tracking devices are known to be inaccurate, but there is a lack of understanding of how user characteristics may affect the accuracy of these devices. This study aims to examine the effect of age, gender, subjective sleep quality, sleep hygiene and sleep structure on the accuracy of two consumer sleep trackers, i.e. Fitbit Charge 2 and Neuroon. Sleep data were collected from 27 healthy participants using consumer devices and a medical device concurrently. Analysis found that age, sleep hygiene and sleep structure were significantly associated to the accuracy of consumer sleep trackers, whereas no association was found on gender and subjective sleep quality. Both consumer devices had improved accuracy on total sleep time and sleep efficiency for participants who had longer, deeper and less interrupted sleep. Our findings suggest that consumer devices may not be suited for young adults and for people with short and fragmented sleep.
Copyright © 2018 Zilu Liang et al., licensed to EAI. This is an open access article distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/3.0/), which permits unlimited use, distribution and reproduction in any medium so long as the original work is properly cited.