5. Yuen C T, San W S, Rizon M, et al. Classification of human emotions from EEG signals using statistical features and neural network. International Journal of Integrated Engineering, 2009, 1(3): 71-79.
[2]
6. Zhang Yong, Ji Xiaomin, Liu Bo, et al. Combined feature extraction method for classification of EEG signals. Neural Comput & Applic, 2017, 28: 3153-3161.
[3]
7. Pham T D, Tran D, MA W, et al. Neural information processing. Cham: Springer International Publishing, 2015: 95-102.
[4]
8. Hatamikia S, Maghooli K, Nasrabadi A M. The emotion recognition system based on autoregressive model and sequential forward feature selection of electroencephalogram signals. J Med Signals Sens, 2014, 4(3): 194-201.
10. He L, Margaret L, Zhang J, et al. Study of wavelet packet energy entropy for emotion classification in speech and glottal//International Conference on Digital Image Processing. Beijing, China, 2013: 8878.
[7]
11. Murugappan M. Human emotion classification using wavelet transform and KNN//International Conference on Pattern Analysis and Intelligent Robotics, Putrajaya, Malaysia, 2011: 148-153.
[8]
12. Mohammadi Z, Frounchi J, Amiri M. Wavelet-based emotion recognition system using EEG signal. Neural Computing and Applications, 2017, 28(8): 1985-1990.
14. Koelstra S, Muhl C, Soleymani M, et al. DEAP: A database for emotion analysis using physiological signals. IEEE Transactions on Affective Computing, 2012, 3(1): 18-31.
17. Stoica P, Moses R L. Introduction to spectral analysis. USA: Prentice Hall, 1997.
[14]
18. Farah C, Zied L. Speech emotion recognition in acted and spontaneous context//International Conference on Intelligent Human Computer Interaction. Evry, France, 2014(39): 139-145.
[15]
19. Burrus C S, Gopinath R A, GUO H. Introduction to wavelets and wavelet transforms:a primer. Houston: Prentice Hall Upper Saddle River, 1998.
[16]
20. Military specification: US NAVY, MIL-S-901D, Shock tests high impact shipboard machinery equipment and systems requirement, 1989.
[17]
21. Zhao W F, Qu J F, Chai Y, et al. Proceedings of the 2015 Chinese intelligent systems conference, 2. Berlin, Heidelberg: Springer International Publishing, 2015, 2: 201-207.
2. Petrantonakis P C, Hadjileontiadis L J. EEG-based emotion recognition using hybrid filtering and higher order crossings//3rd International Conference on Affective Computing and Intelligent Interaction and Workshops, Amsterdam, Netherlands, 2009: 1-6.
[20]
3. Khosrowabadi R, Quek H C, Wahab A, et al. EEG-Based emotion recognition using Self-Organizing map for boundary detection//International Conference on Pattern Recognition. Istanbul, Turkey, 2010: 4242-4245.
[21]
4. Hosseini S A, Naghibi-Sistani M B. Emotion recognition method using entropy analysis of EEG signals. International Journal of Image, Graphics and Signal Processing (IJIGSP), 2011, 3(5): 30-36.
