Abstract
This paper discusses the baseline for the Emotion Recognition in the Wild (EmotiW) 2016 challenge. Continuing on the theme of automatic affect recognition in the wild', the Emoti W challenge 2016 consists of two sub-challenges: An audio-video based emotion and a new group-based emotion recognition sub-challenges. The audio-video based subchallenge is based on the Acted Facial Expressions in the Wild (AFEW) database. The group-based emotion recognition sub-challenge is based on the Happy People Images (HAPPEI) database. We describe the data, baseline method, challenge protocols and the challenge results. A total of 22 and 7 teams participated in the audio-video based emotion and group-based emotion sub-challenges, respectively.
| Original language | English |
|---|---|
| Title of host publication | ICMI '16 |
| Subtitle of host publication | Proceedings of the 18th ACM International Conference on Multimodal Interaction |
| Editors | Yukiko I. Nakano, Elisabeth Andre, Toyoaki Nishida, Louis-Philippe Morency, Carlos Busso, Catherine Pelachaud |
| Publisher | Association for Computing Machinery, Inc |
| Pages | 427-432 |
| Number of pages | 6 |
| ISBN (Electronic) | 9781450345569 |
| ISBN (Print) | 9781450345569 |
| DOIs | |
| Publication status | Published - 2016 |
| Externally published | Yes |
| Event | 18th ACM International Conference on Multimodal Interaction, ICMI 2016 - Tokyo, Japan Duration: 12 Nov 2016 → 16 Nov 2016 https://icmi.acm.org/2016/ (Event website) |
Conference
| Conference | 18th ACM International Conference on Multimodal Interaction, ICMI 2016 |
|---|---|
| Country/Territory | Japan |
| City | Tokyo |
| Period | 12/11/16 → 16/11/16 |
| Internet address |
|
Keywords
- Affect analysis in the wild
- Audio-video data corpus
- Emotion recognition
- Facial expression challenge
- Group-level emotion recognition