Comparison of sleep-wake classification using electroencephalogram and wrist-worn multi-modal sensor data

This paper presents the comparison of sleep-wake classification using electroencephalogram (EEG) and multi-modal data from a wrist wearable sensor. We collected physiological data while participants were in bed: EEG, skin conductance (SC), skin temperature (ST), and acceleration (ACC) data, from 15...

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Bibliographic Details
Main Authors: Sano, Akane (Contributor), Picard, Rosalind W. (Contributor)
Other Authors: Massachusetts Institute of Technology. Media Laboratory (Contributor), Program in Media Arts and Sciences (Massachusetts Institute of Technology) (Contributor)
Format: Article
Language:English
Published: Institute of Electrical and Electronics Engineers (IEEE), 2017-07-12T15:27:50Z.
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