Brain Activity Recognition Method Based on Attention-Based RNN Mode
Brain activity recognition based on electroencephalography (EEG) marks a major research orientation in intelligent medicine, especially in human intention prediction, human–computer control and neurological diagnosis. The literature research mainly focuses on the recognition of single-person binary...
Saved in:
Main Authors: | Song Zhou, Tianhan Gao |
---|---|
Format: | article |
Language: | EN |
Published: |
MDPI AG
2021
|
Subjects: | |
Online Access: | https://doaj.org/article/3a7c6af6be544024a54f5dc37de2384e |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
A Novel Fuzzy Optimized CNN-RNN Method for Facial Expression Recognition
by: Dong Zhang, et al.
Published: (2021) -
Dual Head and Dual Attention in Deep Learning for End-to-End EEG Motor Imagery Classification
by: Meiyan Xu, et al.
Published: (2021) -
Editorial: Inter- and Intra-subject Variability in Brain Imaging and Decoding
by: Chun-Shu Wei, et al.
Published: (2021) -
Emergency Braking Intention Detect System Based on K-Order Propagation Number Algorithm: A Network Perspective
by: Yuhong Zhang, et al.
Published: (2021) -
Hierarchical Spatiotemporal Electroencephalogram Feature Learning and Emotion Recognition With Attention-Based Antagonism Neural Network
by: Pengwei Zhang, et al.
Published: (2021)