期刊论文详细信息
The international arab journal of information technology
Person-Independent Emotion and Gender Prediction (EGP) System Using EEG Signals
article
Haitham Issa1  Qinmu Peng2  Sali Issa3  Xinge You2  Ruijiao Peng4 
[1] Department of Electrical Engineering, Zarqa University;Department of Information and Communication Engineering, Huazhong University of Science and Technology;Department of Electrical Information of Science and Technology, Hubei University of Education;Baiguo Hospital
关键词: Emotion;    gender;    EEG;    brain signals;    STFT;   
DOI  :  10.34028/iajit/19/4/7
学科分类:计算机科学(综合)
来源: Zarqa University
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【 摘 要 】

This paper presents a person-independent Emotion and Gender Prediction (EGP) system usingElectroencephalography (EEG) brain signals. First, Short Time Fourier Transform (STFT) technique is implemented to get thetime-frequency information for the selected electrode (Fz Electrode). Then, it is splitted into twenty sequential batches accordingto the electrode recorded time in seconds, and the maximum EEG activation voltage is located for every frequency level withineach batch to create a 2D time-frequency extraction feature. Next, sparse auto encoder is applied to convert the distribution ofthe extracted feature into more compact and distinguished one instead. For system evaluation, Human-Computer Interaction)database (MAHNOB-HCI) public dataset with five-fold-cross validation classifier are used and implemented. In experiments,the proposed extracted feature improves the results of both emotion and gender prediction. For emotion prediction, the highestaverage accuracy is 97.07\%, 93.27% and 91.72\% for three, four and six emotions with Convolutional Neural Network (CNN)classifier, respectively. While, for gender prediction, experiments are tested related to neutral, amusement, happy, sad, and themix of all these emotions, the highest average accuracy is obtained with CNN classifier in all emotion states (>95%) includingthe state of mixing all emotions together. As well as, the ability to distinguish between genders in case of mixing differentemotions together is practically approved.

【 授权许可】

Unknown   

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