Emotion Classification Induced by Virtual Reality Based on EEG
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1.College of Art, Nanjing University of Aeronautics & Astronautics, Nanjing 211106, China;2.College of Computer Science and Technology, Nanjing University of Aeronautics & Astronautics, Nanjing 211106, China

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TP391

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    Abstract:

    Emotion plays an important role in singing. At present, vocal music courses in universities lack effective training for emotion mobilization. Due to the authenticity and immersive of virtual reality (VR) technology, this article applies it to the emotional induction stage in vocal music teaching. To verify the effectiveness of VR technology for emotion induction, different types of electroencephalogram (EEG) features are extracted, and then emotions are classified into two scenarios: emotional self-imagination and VR-induced. The accuracy of emotion classification, self-evaluation score of emotion and self-evaluation score of vocal music are compared to explore the influence of VR on participants’ emotion mobilization from both subjective and objective aspects. Experimental results show that compared with traditional self-imagination, VR technology can greatly induce the emotions of participants and enhance the singing performance, thus providing a new auxiliary method for vocal singing teaching.

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Zhang Jin, Xu Ziming, Zhou Yueying, Wang Pengpai, ZHANG Daoqiang. Emotion Classification Induced by Virtual Reality Based on EEG[J].,2021,36(6):1226-1236.

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History
  • Received:April 20,2021
  • Revised:October 13,2021
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  • Online: November 25,2021
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