Self-Supervised Representation Learning and Temporal-Spectral Feature Fusion for Bed Occupancy Detection.
- DOI
- 10.1145/3678514
- Published
- 2024 Sep
- Container
- Proceedings of the ACM on interactive, mobile, wearable and ubiquitous technologies
- Publisher
- Not recorded
- Open access
- yes
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limited evidence Score 45/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.
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Cite this work
BibTeX
@article{allodium:10.1145/3678514,
title = {Self-Supervised Representation Learning and Temporal-Spectral Feature Fusion for Bed Occupancy Detection.},
author = {Song Y and Pitafi ZF and Dou F and Sun J and Zhang X and Phillips BG and Song W},
year = {2024},
journal = {Proceedings of the ACM on interactive, mobile, wearable and ubiquitous technologies},
doi = {10.1145/3678514},
url = {https://doi.org/10.1145/3678514}
}RIS
TY - JOUR TI - Self-Supervised Representation Learning and Temporal-Spectral Feature Fusion for Bed Occupancy Detection. AU - Song Y AU - Pitafi ZF AU - Dou F AU - Sun J AU - Zhang X AU - Phillips BG AU - Song W PY - 2024 JO - Proceedings of the ACM on interactive, mobile, wearable and ubiquitous technologies DO - 10.1145/3678514 UR - https://doi.org/10.1145/3678514 ER -
APA
Y, S., ZF, P., F, D., J, S., X, Z., BG, P., & W, S. (2024). Self-Supervised Representation Learning and Temporal-Spectral Feature Fusion for Bed Occupancy Detection.. Proceedings of the ACM on interactive, mobile, wearable and ubiquitous technologies. https://doi.org/10.1145/3678514
Source records
- pubmed · retrieved 2026-09-27T12:13:55.200Z