Please use this identifier to cite or link to this item: https://rda.sliit.lk/handle/123456789/1408
Title: Facial Emotion Prediction through Action Units and Deep Learning
Authors: Nadeeshani, M.
Jayaweera, A.
Samarasinghe, P.
Keywords: Facial Action Coding System
Action Units
emotion prediction
machine learning
K Nearest Neighbor classifier
Issue Date: 10-Dec-2020
Publisher: 2020 2nd International Conference on Advancements in Computing (ICAC), SLIIT
Series/Report no.: Vol.1;
Abstract: With the recent advancements in deep learning techniques, attention has been given to training and testing facial emotions through highly complex deep learning systems. In this paper we apply machine learning techniques which require less resources to produce comparable results for emotion prediction. As the underlying technique for the emotion prediction in this research is based on clinically recognized Facial Action Coding System (FACS), a further analysis is given on the contribution of each of the Action Units (AUs) for the predicted emotion. This analysis would complement, strengthen and be a main resource for addressing many different health issues related to facial muscle movements.
URI: http://rda.sliit.lk/handle/123456789/1408
ISBN: 978-1-7281-8412-8
Appears in Collections:2nd International Conference on Advancements in Computing (ICAC) | 2020
Research Publications -Dept of Information Technology

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