Exploring Optimized Support Vector Machine for EEG Signal-Based Emotion Recognition: A Comparative Analysis and Performance Evaluation
Published in 3DIT-MSP&DL 2024, 2024
This paper presents an optimized Support Vector Machine (SVM) approach for EEG-based emotion recognition, with a focus on depression diagnosis applications.
Recommended citation: Deng Junhao. (2024). "Exploring Optimized Support Vector Machine for EEG Signal-Based Emotion Recognition: A Comparative Analysis and Performance Evaluation." 3DIT-MSP&DL 2024.