Name
Title | ||
|---|---|---|
Illumination Variation-Resistant Video-Based Heart Rate Measurement Using Joint Blind Source Separation and Ensemble Empirical Mode Decomposition. |
Abstract | ||
|---|---|---|
Recent studies have demonstrated that heart rate (HR) could be estimated using video data [e.g., exploring human facial regions of interest (ROIs)] under wellcontrolled conditions. However, in practice, the pulse signals may be contaminated by motions and illumination variations. In this paper, tackling the illumination variation challenge, we propose an illumination-robust framework using joint b... |
Year | DOI | Venue |
|---|---|---|
2017 | 10.1109/JBHI.2016.2615472 | IEEE Journal of Biomedical and Health Informatics |
Keywords | Field | DocType |
Lighting,Heart rate,Biomedical measurement,Pollution measurement,Skin,Robustness,Face | Correlation coefficient,Computer vision,Pattern recognition,Computer science,Heart rate measurement,Communication channel,Robustness (computer science),Ground truth,Artificial intelligence,Blind signal separation,Hilbert–Huang transform | Journal |
Volume | Issue | ISSN |
21 | 5 | 2168-2194 |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Juan Cheng | 1 | 62 | 11.53 |
| Xun Chen | 2 | 458 | 52.73 |
| Lingxi Xu | 3 | 0 | 0.34 |
| Z. Jane Wang | 4 | 406 | 55.43 |