Cross-subject EEG-based emotion recognition through dynamic optimization of random forest with sparrow search algorithm

Cross-subject EEG-based emotion recognition through dynamic optimization of random forest with sparrow search algorithm

The objective of EEG-based emotion recognition is to classify emotions by decoding signals, with potential applications in the fields of artificial intelligence and bioinformatics. Cross-subject emotion recognition is more difficult than intra-subject emotion recognition. The poor adaptability of cl...

Full description

Bibliographic Details
Main Authors: Xiaodan Zhang, Shuyi Wang, Kemeng Xu, Rui Zhao, Yichong She
Format: Article
Language:English
Published: AIMS Press 2024-02-01
Series:Mathematical Biosciences and Engineering
Subjects:
cross-subject
emotion recognition
ssa-rf
dtn
lmn
Online Access:https://www.aimspress.com/article/doi/10.3934/mbe.2024210?viewType=HTML

Internet

https://www.aimspress.com/article/doi/10.3934/mbe.2024210?viewType=HTML

Similar Items