Name
Title | ||
|---|---|---|
Leveraging the Bayesian Filtering Paradigm for Vision-Based Facial Affective State Estimation. |
Abstract | ||
|---|---|---|
Estimating a person's affective state from facial information is an essential capability for social interaction. Automatizing such a capability has therefore increasingly driven multidisciplinary research for the past decades. At the heart of this issue are very challenging signal processing and artificial intelligence problems driven by the inherent complexity of human affect. We therefore propos... |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1109/TAFFC.2016.2643661 | IEEE Transactions on Affective Computing |
Keywords | Field | DocType |
State estimation,Psychology,Bayes methods,Affective computing,Facial muscles,Kalman filters,Gaussian processes | Signal processing,Multidisciplinary approach,Psychology,Kalman filter,Artificial intelligence,Gaussian process,Probabilistic logic,Affective computing,Affect (psychology),Dynamical system,Machine learning | Journal |
Volume | Issue | ISSN |
9 | 4 | 1949-3045 |
Citations | PageRank | References |
2 | 0.37 | 11 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Meshia Cédric Oveneke | 1 | 28 | 7.39 |
| Isabel Gonzalez | 2 | 54 | 5.10 |
| V. Enescu | 3 | 105 | 10.66 |
| Jiang Dongmei | 4 | 115 | 15.28 |
| Hichem Sahli | 5 | 475 | 65.19 |