Name
Title | ||
|---|---|---|
Learning Pain from Action Unit Combinations: A Weakly Supervised Approach via Multiple Instance Learning |
Abstract | ||
|---|---|---|
Patient pain can be detected highly reliably from facial expressions using a set of facial muscle-based action units (AUs) defined by the Facial Action Coding System (FACS). A key characteristic of facial expression of pain is the simultaneous occurrence of pain-related AU combinations, whose automated detection would be highly beneficial for efficient and practical pain monitoring. Existing gener... |
Year | DOI | Venue |
|---|---|---|
2022 | 10.1109/TAFFC.2019.2949314 | IEEE Transactions on Affective Computing |
Keywords | DocType | Volume |
Pain,Gold,Machine learning,Encoding,Feature extraction,Reliability,Face recognition | Journal | 13 |
Issue | ISSN | Citations |
1 | 1949-3045 | 0 |
PageRank | References | Authors |
0.34 | 0 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Zhanli Chen | 1 | 9 | 2.52 |
| Rashid Ansari | 2 | 520 | 58.95 |
| Diana Wilkie | 3 | 11 | 6.44 |