Models to Predict Sleeping Quality from Activities and Environment: Current Status, Challenges and Opportunities.
Thi Phuoc Van Nguyen|Do Van Nguyen|Koji Zettsu
| Anthology ID: | DBLP:conf/mir/NguyenNZ21 |
|---|---|
| Volume: | ICDAR@ICMR 2021: Proceedings of the 2021 Workshop on Intelligent Cross-Data Analysis and Retrieval, Taipei, Taiwan, 21 August 2021 |
| Year: | 2021 |
| Venue: | ACM Workshop on Intelligent Cross-Data Analysis and Retrieval (ICDAR) |
| Publisher: | ACM |
| Pages: | 52-56 |
| URL: | https://doi.org/10.1145/3463944.3469268 |
| DOI: | https://doi.org/10.1145/3463944.3469268 |
| DBLP: | conf/mir/NguyenNZ21 |
| BibTeX: |
@inproceedings{nguyen-2021-models,
author = {Thi Phuoc Van Nguyen and
Do Van Nguyen and
Koji Zettsu},
editor = {Minh-Son Dao and
Duc-Tien Dang-Nguyen and
Michael Riegler},
title = {{Models to Predict Sleeping Quality from Activities and Environment: Current Status, Challenges and Opportunities}},
booktitle = {{ICDAR@ICMR 2021: Proceedings of the 2021 Workshop on Intelligent Cross-Data Analysis and Retrieval, Taipei, Taiwan, 21 August 2021}},
pages = {52--56},
publisher = {ACM},
year = {2021},
url = {https://doi.org/10.1145/3463944.3469268},
doi = {https://doi.org/10.1145/3463944.3469268}
}