A multimodal evaluation approach for cost-effective emotion classification

The identification of emotions can improve people’s emotional regulation strategies and interaction with their multiple contexts of life. There are several studies on emotional classification systems. However, the vast majority investigate only the use of one or more isolated signals. The fact that...

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Bibliographic Details
Main Author: Pinto, Gisela Antunes (author)
Format: masterThesis
Language:eng
Published: 2020
Subjects:
Affective computing
Multimodal
Feature extraction
Feature selection
Random Forest
Neural network
Machine learning
Data mining
Psychophysiology
ECG
EDA
EMG
Emotional classification
Online Access:http://hdl.handle.net/10773/29566
Country:Portugal
Oai:oai:ria.ua.pt:10773/29566

Internet

http://hdl.handle.net/10773/29566

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