DEEP CONVOLUTIONAL NEURAL NETWORK FOR FACIAL EXPRESSION RECOGNITION USING FACIAL PARTS
European Journal of Molecular & Clinical Medicine,
2023, Volume 10, Issue 1, Pages 5377-5385
Abstract
This paper proposes the design of a Facial Expression Recognition (FER) system using facial parts that is based on a deep convolutional neural network. This paper discusses a simple solution for facial expression recognition that employs a combination of algorithms for face detection, feature extraction, and classification. The proposed method employs a two-channel convolutional neural network with Facial Parts (FPs) as input to the first convolutional layer, extracted eyes as input to the first channel, and the mouth as input to the second channel. Information from both channels converges in a fully connected layer, which is then used to learn global information from these local
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