Name
Abstract | ||
|---|---|---|
This paper presents a new algorithm to classify the multiple stages of sleeping. In this algorithm, the novel feature vector in the time domain is proposed. Various machine learning models were utilized to classify sleeping problems in four categories. The results of this research outperform previous studies and shows high potential in real-time application. |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1109/ICST46873.2019.9047717 | 2019 13th International Conference on Sensing Technology (ICST) |
Keywords | DocType | ISSN |
Machine learning,sleeping problem,breathing disorder,classification | Conference | 2156-8065 |
ISBN | Citations | PageRank |
978-1-7281-4808-3 | 0 | 0.34 |
References | Authors | |
4 | 5 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Pham Son Lam | 1 | 0 | 0.34 |
| Nguyen Dinh Son | 2 | 0 | 0.34 |
| Hoang Phuong Chi | 3 | 0 | 0.34 |
| Nguyen Thi Phuoc Van | 4 | 0 | 1.69 |
| Duc Minh Nguyen | 5 | 43 | 10.96 |