Self-Supervised Representation Learning and Temporal-Spectral Feature Fusion for Bed Occupancy Detection

In automated sleep monitoring systems, bed occupancy detection is the foundation or the first step before other downstream tasks, such as inferring sleep activities and vital signs. The existing methods do not generalize well to real-world environments due to single environment settings and rely on...

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Bibliographic Details

Published in:	Proceedings of ACM on interactive, mobile, wearable and ubiquitous technologies Vol. 8; no. 3
Main Authors:	Song, Yingjian, Pitafi, Zaid Farooq, Dou, Fei, Sun, Jin, Zhang, Xiang, Phillips, Bradley G, Song, Wenzhan
Format:	Journal Article
Language:	English
Published:	United States 01.09.2024
Subjects:	Self-Supervised Learning Bed Occupancy Spectrum-temporal feature fusion
ISSN:	2474-9567, 2474-9567
Online Access:	Get more information
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