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An Approach for Improving Automatic Mouth Emotion Recognition
The study proposes and tests a technique for automated emotion recognition through mouth detection via Convolutional Neural Networks (CNN), meant to be applied for supporting people with health disorders with communication skills issues (e. g. muscle wasting, stroke, autism, or, more simply, pain) in order to recognize emotions and generate real-time feedback, or data feeding supporting systems.
Web-based Semantic Similarity for Emotion Recognition in Web Objects
In this project we propose a new approach for emotion recognition using web-based similarity (e. g. confidence, PMI and PMING).
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