Name
Abstract | ||
|---|---|---|
Human emotions unfold over time, and more affective computing research has to prioritize capturing this crucial component of real-world affect. Modeling dynamic emotional stimuli requires solving the twin challenges of time-series modeling and of collecting high-quality time-series datasets. We begin by assessing the state-of-the-art in time-series emotion recognition, and we review contemporary t... |
Year | DOI | Venue |
|---|---|---|
2021 | 10.1109/TAFFC.2019.2955949 | IEEE Transactions on Affective Computing |
Keywords | DocType | Volume |
Computational modeling,Hidden Markov models,Affective computing,Biological system modeling,Videos,Data models,Recurrent neural networks | Journal | 12 |
Issue | ISSN | Citations |
3 | 1949-3045 | 1 |
PageRank | References | Authors |
0.35 | 54 | 7 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Desmond Ong | 1 | 10 | 5.23 |
| Zhengxuan Wu | 2 | 1 | 1.03 |
| Zhi-Xuan Tan | 3 | 1 | 0.35 |
| Marianne Reddan | 4 | 1 | 0.35 |
| Isabella Kahhale | 5 | 1 | 0.35 |
| Alison Mattek | 6 | 1 | 0.35 |
| Jamil Zaki | 7 | 35 | 6.54 |