Application of supervised machine learning models in human emotion classification using Tsallis entropy as a feature

Application of supervised machine learning models in human emotion classification using Tsallis entropy as a feature

Abstract Emotion identification acts as a critical component in passive brain-computer interfaces. The domain of EEG-based emotion identification has garnered substantial attention owing to advancements in machine learning models, notably in terms of higher accuracy and broader generalization capabi...

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Bibliographic Details
Main Authors: Pragati Patel, Sivarenjani B., Ramesh Naidu Annavarapu
Format: Article
Language:English
Published: SpringerOpen 2025-05-01
Series:Journal of Big Data
Subjects:
Machine learning models
Emotion recognition
Tsallis entropy
Nonextensive statistics
Ensemble learning model
Online Access:https://doi.org/10.1186/s40537-025-01177-8
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https://doi.org/10.1186/s40537-025-01177-8

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