Contextual Emotion Learning Challenge | IEEE Conference Publication | IEEE Xplore

Contextual Emotion Learning Challenge


Abstract:

Emotion recognition via vision has been deeply associated with facial expressions, and the inference of emotions has, more often than not, been based on the same. However...Show More

Abstract:

Emotion recognition via vision has been deeply associated with facial expressions, and the inference of emotions has, more often than not, been based on the same. However, context, both environmental and social, plays an imperative role in emotion recognition but has not been incorporated widely so far. The meaning of emotion might entirely switch when shifted from one setting to another if only facial expressions are taken into account. Moreover, there exists no study in the Indian context about the same. To cater to this issue, we generate and introduce the Indian Contextual Emotion Recognition (ICER) dataset based on the multi-ethnic Indian context. This paper summarises the Contextual Emotion Learning Challenge (CELC 2021) organized in conjunction with the 16th IEEE Conference on Automatic Face and Gesture Recognition (FG) 2021. We outline the tasks posed in the challenge, the novel dataset, along with its challenges and the evaluation method. Lastly, we conclude by discussing the possible future directions.
Date of Conference: 15-18 December 2021
Date Added to IEEE Xplore: 12 January 2022
ISBN Information:
Conference Location: Jodhpur, India

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