Integration of Multiple Biosensors for Emotion Classification with Artificial Intelligence

Integration of Multiple Biosensors for Emotion Classification with Artificial Intelligence

The objective of this study is to integrate and classify electroencephalogram (EEG), electrocardiogram (ECG), and galvanic skin response (GSR) signals from a participant exposed to emotional stimuli—happiness, anger, fear, and sadness. We used the LazyPredict library to identify the most effective c...

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Bibliographic Details
Main Authors: Cintia Ricaele Ferreira da Silva, Marcus Vinicius Costa Alves, Maria José Nunes Gadelha, Edgard Morya
Format: Article
Language:English
Published: MDPI AG 2024-11-01
Series:Engineering Proceedings
Subjects:
multiple biosensors
classifiers
integration
emotion
artificial intelligence
Online Access:https://www.mdpi.com/2673-4591/73/1/10
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