DRS-Net: A spatial–temporal affective computing model based on multichannel EEG data
Biomedical Signal Processing and Control(2022)
摘要
•Provide DRS-Net, an end-to-end affective computing model using multichannel EEG data.•Automatically extract the EEG data’ spatial–temporal features with a dynamic reservoir state encoder.•Integrating Reservoir Computing with the neural network to deal with EEG data processing.
更多查看译文
关键词
Multichannel EEG,Affective computing,Reservoir computing,Long-short term memory,DRS-Net
AI 理解论文
溯源树
样例
![](https://originalfileserver.aminer.cn/sys/aminer/pubs/mrt_preview.jpeg)
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要