| 基于CNN和Bi-LSTM的脑电波情感分析 |
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| 引用本文： | 朱丽,杨青,吴涛,李晨,李铭.基于CNN和Bi-LSTM的脑电波情感分析[J].应用科学学报,2022,40(1):1-12. |
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| 作者姓名： | 朱丽 杨青 吴涛 李晨 李铭 |
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| 作者单位： | 1. 华中师范大学 人工智能与智慧学习湖北省重点实验室, 湖北 武汉 430079;2. 华中师范大学 计算机学院, 湖北 武汉 430079;3. 华中师范大学 国家语言资源监测与研究网络媒体中心, 湖北 武汉 430079 |
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| 基金项目： | 武汉市科技计划项目基金（No.2019010701011392）； |
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| 摘 要： | 针对目前大多数脑电波情感识别方法存在的依赖手动特征提取等问题,提出一种基于卷积神经网络(convolutional neural network,CNN)和双向长短时记忆(bidirectional long short-term memory,Bi-LSTM)网络的混合模型.首先将一维数据转换为二维数据,采用CNN提...
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| 关 键 词： | 脑电信号 情感分类 卷积神经网络 双向长短时记忆网络 深度学习 |
| 收稿时间： | 2021-07-13 |
Emotional Analysis of Brain Waves Based on CNN and Bi-LSTM |
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| ZHU Li,YANG Qing,WU Tao,LI Chen,LI Ming.Emotional Analysis of Brain Waves Based on CNN and Bi-LSTM[J].Journal of Applied Sciences,2022,40(1):1-12. |
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| Authors: | ZHU Li YANG Qing WU Tao LI Chen LI Ming |
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| Institution: | 1. Hubei Provincial Key Laboratory of Artificial Intelligence and Smart Learning, Central China Normal University, Wuhan 430079, Hubei, China;2. School of Computer, Central China Normal University, Wuhan 430079, Hubei, China;3. National Language Resources Monitoring & Research Center for Network Media, Central China Normal University, Wuhan 430079, Hubei, China |
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| Abstract: | Aiming at the problem that most emotion recognition methods rely on manual feature extraction, a hybrid model based on convolutional neural network (CNN) and bidirectional long short-term memory (Bi-LSTM) network is proposed. Firstly, one-dimensional data is converted into two-dimensional data, and spatial features are extracted by CNN. Then the one-dimensional data is input into Bi-LSTM to obtain temporal features. Finally, the fused spatial and temporal features are input into Softmax classifier to obtain final classification results. Experimental results on DEAP dataset show that CNN and BiLSTM hybrid model has good classification performance, and the accuracy in potency and arousal reaches 88.55% and 89.07%, respectively, proving the proposed model is a feasible and affective EEG emotion classification model. |
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| Keywords: | electroencephalogram emotion classification convolutional neural network (CNN) bidirectional long short-term memory (Bi-LSTM) network deep learning |
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