TY - GEN
T1 - From individual to group-level emotion recognition
T2 - 19th ACM International Conference on Multimodal Interaction, ICMI 2017
AU - Dhall, Abhinav
AU - Goecke, Roland
AU - Ghosh, Shreya
AU - Joshi, Jyoti
AU - Hoey, Jesse
AU - Gedeon, Tom
N1 - Publisher Copyright:
© 2017 ACM.
PY - 2017/11/3
Y1 - 2017/11/3
N2 - 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.
AB - 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.
KW - Affect analysis in the wild
KW - Audio-video data corpus
KW - Emotion recognition
KW - Facial expression challenge
KW - Group-level emotion recognition
UR - http://www.scopus.com/inward/record.url?scp=85046536088&partnerID=8YFLogxK
U2 - 10.1145/3136755.3143004
DO - 10.1145/3136755.3143004
M3 - Conference contribution
T3 - ICMI 2017 - Proceedings of the 19th ACM International Conference on Multimodal Interaction
SP - 524
EP - 528
BT - ICMI 2017 - Proceedings of the 19th ACM International Conference on Multimodal Interaction
A2 - Lank, Edward
A2 - Hoggan, Eve
A2 - Subramanian, Sriram
A2 - Vinciarelli, Alessandro
A2 - Brewster, Stephen A.
PB - Association for Computing Machinery, Inc
Y2 - 13 November 2017 through 17 November 2017
ER -