EEG Spatial Analysis based on Brain thermogram Image Recognition

被引：0
|
作者：
Ding, Mingzhen [1 ]
Liu, Ziyi [1 ]
Xu, Guohui [1 ]
Ding, Shudong [1 ]
Zhang, Hao Lan [2 ]
机构：
[1] Ningbo Tech Univ, Ningbo, Zhejiang, Peoples R China
[2] NIT Zhejiang Univ, Ningbo, Zhejiang, Peoples R China
来源：
PROCEEDINGS OF 2021 IEEE/WIC/ACM INTERNATIONAL CONFERENCE ON WEB INTELLIGENCE AND INTELLIGENT AGENT TECHNOLOGY WORKSHOPS AND SPECIAL SESSIONS: (WI-IAT WORKSHOP/SPECIAL SESSION 2021) | 2021年
基金：
中国国家自然科学基金;
关键词：
Image Recognition; Brain Analysis; EEG; CNN; VGG;
D O I：
10.1145/3498851.3498951
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
EEG feature recognition is an important research issue for understanding human brain activities. However, the invasive solution for brain informatics research is causing concerns on its safety and reliability. Therefore, current research in brain informatics field pays more attention on non-invasive brain analysis. In this paper, we introduce a novel solution, which combines EEG signal analysis with EEG heat spots image recognition based on the Convolutional Neural Network (CNN) method. The experimental results demonstrate our solution can enhance the EEG feature recognition.
引用
收藏
页码：197 / 202
页数：6
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