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Design and development of 2 MLPs and 2 RBFN to estimate valence and arousal given a set of biomedical signals. Design and development of a Fuzzy Inference System to estimate arousal. Fine-Tuning of a pre-trained CNN to classify person's emotions based on facial expressions.

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Intelligent-Systems

Project for Intelligent Systems - University of Pisa.

The tasks performed in this project are the following:

  • Design and develop two MLP artifcial neural networks that accurately estimate a person's valence and arousal and two RBF networks that do the same thing as the MLPs.

  • Design and develop a fuzzy inference system to estimate a person's arousal.

  • Fine-tune a pretrained CNN to obtain a convolutional neural network (CNN) that accurately classifes a person's emotion, based on facial expression.

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Design and development of 2 MLPs and 2 RBFN to estimate valence and arousal given a set of biomedical signals. Design and development of a Fuzzy Inference System to estimate arousal. Fine-Tuning of a pre-trained CNN to classify person's emotions based on facial expressions.

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