NapWell: An EOG-based Sleep Assistant Exploring the Effects of Virtual Reality on Sleep Onset

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We present NapWell, a Sleep Assistant using virtual reality (VR) to decrease sleep onset latency by providing a realistic imagery distraction prior to sleep onset. Our proposed prototype was built using commercial hardware and with relatively low cost, making it replicable for future works as well as paving the way for more low cost EOG-VR devices for sleep assistance. We conducted a user study (n = 20) by comparing different sleep conditions; no devices, sleeping mask, VR environment of the study room and preferred VR environment by the participant. During this period, we recorded the electrooculography (EOG) signal and sleep onset time using a finger tapping task (FTT). We found that VR was able to significantly decrease sleep onset latency. We also developed a machine learning model based on EOG signals that can predict sleep onset with a cross-validated accuracy of 70.03%. The presented study demonstrates the feasibility of VR to be used as a tool to decrease sleep onset latency, as well as the use of embedded EOG sensors with VR for automatic sleep detection.
Publisher
SPRINGER LONDON LTD
Issue Date
2022-06
Language
English
Article Type
Article
Citation

VIRTUAL REALITY, v.26, no.2, pp.437 - 451

ISSN
1359-4338
DOI
10.1007/s10055-021-00571-w
URI
http://hdl.handle.net/10203/296674
Appears in Collection
GCT-Journal Papers(저널논문)
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