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EmotiW 2018: Audio-Video, Student Engagement and Group-Level Affect Prediction

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arxiv 1808.07773 v1 pith:K6NI2EGF submitted 2018-08-23 cs.CV

EmotiW 2018: Audio-Video, Student Engagement and Group-Level Affect Prediction

classification cs.CV
keywords emotiwchallengeemotionrecognitionaudio-videoengagementgroup-levelprediction
verification ladder T0 review T1 audit T2 compute T3 formal T4 reserved
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This paper details the sixth Emotion Recognition in the Wild (EmotiW) challenge. EmotiW 2018 is a grand challenge in the ACM International Conference on Multimodal Interaction 2018, Colorado, USA. The challenge aims at providing a common platform to researchers working in the affective computing community to benchmark their algorithms on `in the wild' data. This year EmotiW contains three sub-challenges: a) Audio-video based emotion recognition; b) Student engagement prediction; and c) Group-level emotion recognition. The databases, protocols and baselines are discussed in detail.

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