Knowledge Commons of Institute of Automation,CAS
EEG-Based Emotion Recognition with Prototype-Based Data Representation | |
Yixin Wang1,2,3; Shuang Qiu1,2; Chen Zhao5; Weijie Yang5; Jinpeng Li1,2,3; Xuelin Ma1,2,3; Huiguang He1,2,3,4 | |
2019 | |
会议名称 | International Conference of the IEEE Engineering in Medicine and Biology Society |
会议日期 | 2019/07 |
会议地点 | 德国柏林 |
摘要 | Emotions play an important role in human communication, and EEG signals are widely used for emotion recognition. Despite the extensive research of EEG in recent year, it is still challenging to interpret EEG signals effectively due to the massive noises in EEG signals. In this paper, we propose an effective emotion recognition framework, which contains two main parts: the representation network and the prototype selection algorithm. Through our proposed representation network, samples from the same kind of emotion state are more close to each other in high-level representation, and then, we selected the prototypes from the clustering set in feature space match the following testing samples. This method takes advantage of the powerful representation ability of deep learning and learns a better describable feature space rather than learn the classifier explicitly. The experiments on SEED dataset achieves a high accuracy of 93.29% and outperforms a set of baseline methods and the recent deep learning emotion classification approaches. These experimental results demonstrate the effectiveness of our proposed emotion recognition framework. |
收录类别 | EI |
七大方向——子方向分类 | 脑机接口 |
文献类型 | 会议论文 |
条目标识符 | http://ir.ia.ac.cn/handle/173211/44917 |
专题 | 脑图谱与类脑智能实验室_神经计算与脑机交互 |
通讯作者 | Huiguang He |
作者单位 | 1.Research Center for Brain-inspired Intelligence, Institute of Automation, Chinese Academy of Science, Beijing, China 2.National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Science, Beijing, China 3.University of Chinese Academy of Sciences, Beijing, China 4.Center for Excellence in Brain Science and Intelligence Technology, Chinese Academy of Science, Beijing, China 5.School of Computer and Information Engineering, Beijing Technology and Business University, Beijing, China |
第一作者单位 | 模式识别国家重点实验室 |
通讯作者单位 | 模式识别国家重点实验室 |
推荐引用方式 GB/T 7714 | Yixin Wang,Shuang Qiu,Chen Zhao,et al. EEG-Based Emotion Recognition with Prototype-Based Data Representation[C],2019. |
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文件名称/大小 | 文献类型 | 版本类型 | 开放类型 | 使用许可 | ||
08857340.pdf(1275KB) | 会议论文 | 开放获取 | CC BY-NC-SA | 浏览 下载 |
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