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机译:通过利用深度信念 - 条件随机现场框架来源从多通道EEG信号识别
Henan Polytech Univ Sch Comp Sci & Technol Jiaozuo 454003 Henan Peoples R China;
Henan Polytech Univ Sch Comp Sci & Technol Jiaozuo 454003 Henan Peoples R China;
Electroencephalography; Brain modeling; Emotion recognition; Feature extraction; Correlation; Hidden Markov models; Machine learning; Human-computer interaction; emotion recognition; multi-channel EEG signal; DBN-GC; conditional random field;
机译:来自多通道EEG数据和基于小波的深度学习框架的价情绪识别
机译:通过深森林从多通道脑电剧的情感识别
机译:深受深度学习的多通道文本和脑电图的情感认可
机译:深度学习脑电信号以识别情绪
机译:用半监控情感识别框架分析生理信号
机译:SAE + LSTM:基于多通道脑电图的情感识别新框架
机译:通过利用深度信念 - 条件随机现场框架来源从多通道EEG信号识别