基于ＥＥＧＮｅｔ的脑电信号情绪识别 赵瀛文，张伟民，程超杰，董英梁 （洛阳理工学院，河南 洛阳 471023）摘 要：对一种紧凑轻量型的卷积神经网络EEGNet 实现脑电信号情绪识别进行了研究，验证了EEGNet 网络对基于脑电信号的情绪识别具有较理想的识别准确率。文章先后对脑电信号情绪识别系统的工作流程及方法进行...
In this paper, we report a novel software package, called EEGNET, running under MATLAB (Math works, inc), and allowing for analysis and visualization of functional brain networks from M/EEG recordings. EEGNET is developed to analyze networks either at the level of scalp electrodes or at the ...
The experimental paradigms were conducted using the OpenMBI toolbox, custom written in MATLAB. We selected the files corresponding to the MI EEG paradigm from these three paradigms, which contains a 2-class classification problem, involving the imagination of Left Hand and Right Hand movement. The...
In addition, ASCII data were converted into Matlab files for further processing. 3.3. NVIDIA Jetson TX2 Embedded Board The NJT2 is a power-efficient embedded computing device mainly designed for artificial intelligence applications. Building around an NVIDIA PascalTM-family GPU with 8 GB and 59.7 ...
In addition, ASCII data were converted into Matlab files for further processing. 3.3. NVIDIA Jetson TX2 Embedded Board The NJT2 is a power-efficient embedded computing device mainly designed for artificial intelligence applications. Building around an NVIDIA PascalTM-family GPU with 8 GB and 59.7...
In addition, ASCII data were converted into Matlab files for further processing. 3.3. NVIDIA Jetson TX2 Embedded Board The NJT2 is a power-efficient embedded computing device mainly designed for artificial intelligence applications. Building around an NVIDIA PascalTM-family GPU with 8 GB and 59.7...