Art
J-GLOBAL ID:202002255781519069   Reference number:20A2354200

Human-Wants Detection Based on Electroencephalogram Analysis During Exposure to Music

音楽への曝露中の脳波分析に基づく人間の欲求の検出
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Volume: 32  Issue:Page: 724-730(J-STAGE)  Publication year: 2020 
JST Material Number: L0735A  ISSN: 0915-3942  Document type: Article
Article type: 原著論文  Country of issue: Japan (JPN)  Language: ENGLISH (EN)
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Reference (24):
  • [1] F. Lotte, M. Congedo, F. Lecuyer, and B. Arnaldi, “A review of classification algorithms for EEG-based brain-computer interfaces: a 10 year update,” J. Neural Eng., Vol.15, No.3, pp. R1-R28, 2018.
  • [2] J. X. Chen, P. W. Zhang, Z. J. Mao, Y. F. Huang, D. M. Jiang, and Y. N. Zhang, “Accurate EEG-based emotion recognition on combined features using deep convolutional neural networks,” IEEE Access, Vol.7, pp. 44317-44328, 2019.
  • [3] R. M. Mehmood, R. Du, and H. J. Lee, “Optimal feature selection and deep learning ensembles method for emotion recognition from human brain EEG sensors,” IEEE Access, Vol.5, pp. 14797-14806, 2017.
  • [4] H. Ullah, M. Uzair, A. Mahmood, M. Ullah, S. D. Khan, and F. A. Cheikh, “Internal emotion classification using EEG signal with sparse discriminative ensemble,” IEEE Access, Vol.7, pp. 40144-40153, 2019.
  • [5] G. Zhao, Y. Ge, B. Shen, X. Ei, and H. Wang, “Emotion analysis for personality interface from EEG signal,” IEEE Trans. Affect. Comput., Vol.9, No.3, pp. 362-371, 2018.
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