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EEG based Emotion Recognition using SVM and LibSVM
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 178 - Number 45 |
| Year of Publication: 2019 |
| Authors: Aadhya Bhatt, Ananta Bhatt |
10.5120/ijca2019919352
|
Aadhya Bhatt, Ananta Bhatt . EEG based Emotion Recognition using SVM and LibSVM. International Journal of Computer Applications. 178, 45 ( Sep 2019), 1-3. DOI=10.5120/ijca2019919352
Abstract
In this paper, we solely focus on the EEG dataset. Using SVM classifier with external library LibSVM (3.23), we have classified our EEG SEED dataset and have achieved tremendous improvement in the accuracy and performance. Moreover, we have listed and explained the different approaches followed to improvise the performance and accuracy of our dataset. Further, we have also compared various existing approaches performed on our dataset using various classifiers - ELM, SVM with KNN, SVM with SEED dataset and SVM with DEAP dataset. By using library LibSVM (3.23), we increased the performance of each run by 4% finally resulting with 79.38% accuracy having tensor flow environment.
References
- Ahmad Tauseef Sohaib, S. Q. (2013). Evaluating Classifiers for Emotion Recognition Using EEG. Springer, 2-8.
- Avinash L. Tandle, M. S. (2018). Mental state and emotion detection from musically stimulated EEG. Springer, 3-11.
- McOwan, K. A. (2006, February). A Real-Time Automated System for the Recognition. IEEE, 5-7.
- Naveen Masood, H. F. (2018). Multimodal Paradigm for Emotion Recognition Based on EEG Signals. Springer, 2-7.
- Nisha Vishnupant Kimmatkar, D. V. (2018). Human Emotion Classification from Brain EEG Signal. ACM, 2-4.
- Priyanka S. Ghare, A. P. (2016). Human emotion recognition using non linear and non stationary EEG signal. IEEE, 3-6.
- Ruo-Nan Duan, J.-Y. Z.-L. (2013). Differential Entropy Feature for EEGbased Emotion Classification. IEEE , 81-84.
- S. G. Mangalagowri, P. C. (2016). EEG feature extraction and classification using feed forward backpropogation algorithm for emotion detection. IEEE, 4-7.
- S. Thejaswini, K. M. (2017, December 23). EEG Based Emotion Recognition Using Wavelets and Neural Networks Classifier. Springer, 1-6.
- Sujata Bhimrao Wankhade, D. D. (2019). IKKN Predictor: An EEG Signal Based Emotion Recognition for HCI. Springer, 1-3.
- Wei-Long Zheng, a. B.-L. (2015). Investigating Critical Frequency Bands and Channels for EEG-based Emotion Recognition with Deep Neural Networks. IEEE , 162-175.
- Yisi Liu, O. S. (2010). Real-Time EEG-Based Human Emotion Recognition and Visualization. IEEE, 2-7.
- Yongbin Gao, H. J. (2015). Deep learninig of EEG signals for emotion recognition. IEEE, 2-4.
- Yongbin Gao, H. J. (2015). Deep learninig of EEG signals for emotion recognition. IEEE, 1-4.
- z. Khalili, M. H. (2009). Emotion Recognition System Using Brain and Peripheral Signals:Using Correlation Dimension to Improve the Results of EEG. IEEE, 1-4.
- Zeynab Mohammadi, J. F. (2015). Wavelet-based emotion recognition system using EEG signal. Springer, 2-5.
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