2016•Unpublished venueRequires access

EmotiW 2016: video and group-level emotion recognition challenges

Abhinav Dhall, Roland Goecke, Jyoti Joshi, Jesse Hoey, Tom Gedeon

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 EmotiW 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 sub-challenge 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.

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Key concepts: Emotion recognition, Computer science, Baseline (sea), Emotion classification, Affect (linguistics), Theme (computing), Facial recognition system, Facial expression