Abstract
Research in automatic affect recognition has come a long way. This paper describes the fifth Emotion Recognition in the Wild (EmotiW) challenge 2017. EmotiW aims at providing a common benchmarking platform for researchers working on different aspects of affective computing. This year there are two sub-challenges: A) Audio-video emotion recognition and b) group-level emotion recognition. These challenges are based on the acted facial expressions in the wild and group affect databases, respectively. The particular focus of the challenge is to evaluate method in 'in the wild' settings. 'In the wild' here is used to describe the various environments represented in the images and videos, which represent real-world (not lab like) scenarios. The baseline, data, protocol of the two challenges and the challenge participation are discussed in detail in this paper.
| Original language | English |
|---|---|
| Title of host publication | Proceedings of the 19th ACM International Conference on Multimodal Interaction |
| Editors | Edward Lank, Eve Hoggan, Sriram Subramanian, Alessandro Vinciarelli, Stephen A. Brewster |
| Place of Publication | New York NY USA |
| Publisher | Association for Computing Machinery (ACM) |
| Pages | 524-528 |
| Number of pages | 5 |
| ISBN (Electronic) | 9781450355438 |
| DOIs | |
| Publication status | Published - 2017 |
| Externally published | Yes |
| Event | Emotion Recognition in the Wild Challenge 2017 - Glasgow, United Kingdom Duration: 17 Nov 2017 → 17 Nov 2017 Conference number: 5th https://sites.google.com/site/emotiwchallenge/ |
Conference
| Conference | Emotion Recognition in the Wild Challenge 2017 |
|---|---|
| Abbreviated title | EmotiW 2017 |
| Country/Territory | United Kingdom |
| City | Glasgow |
| Period | 17/11/17 → 17/11/17 |
| Internet address |
Keywords
- Affect analysis in the wild
- Audio-video data corpus
- Emotion recognition
- Facial expression challenge
- Group-level emotion recognition