Journal article
Inferring Circadian Rhythms of Cognitive Performance in Everyday Life
B Tag, T Dingler, AW Vargo, V Kostakos
IEEE Pervasive Computing | Institute of Electrical and Electronics Engineers | Published : 2020
Abstract
Physical, mental, and behavioral processes of most living beings underlie cyclic changes, mainly governed by the day-night cycle. Investigations of these circadian rhythms have traditionally required constrained settings and invasive methods, such as repetitive blood testing and testing in sleep laboratories. Recent developments in pervasive technology, e.g., the proliferation of smartphones in our everyday lives, allow us to develop less intrusive ways to infer circadian rhythmicity in everyday settings. In this article, we present an overview of the current state of research, describe a mobile toolkit for collecting ground truth data on cognitive state fluctuations, and detail the implemen..
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Awarded by H2020 Future and Emerging Technologies
Funding Acknowledgements
This work was supported in part by the Future and Emerging Technologies (FET) programme within the 7th Framework Programme for Research of the European Commission under FET Grant 612933 (RECALL), and by JST (Sakigake/Presto) under Grant JP-MJPR16D4.