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Finding Emotions in Faces: A Meta-Classifier

2022-08-20 13:11:18
Siddartha Dalal, Sierra Vo, Michael Lesk, Wesley Yuan

Abstract

Machine learning has been used to recognize emotions in faces, typically by looking for 8 different emotional states (neutral, happy, sad, surprise, fear, disgust, anger and contempt). We consider two approaches: feature recognition based on facial landmarks and deep learning on all pixels; each produced 58% overall accuracy. However, they produced different results on different images and thus we propose a new meta-classifier combining these approaches. It produces far better results with 77% accuracy

Abstract (translated)

URL

https://arxiv.org/abs/2208.09678

PDF

https://arxiv.org/pdf/2208.09678.pdf


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