Abstract
Brain-Computer Interfaces (BCIs) are communication systems capable of establishing an alternative pathway between user’s brain activity and a computer system. The most common signal acquisition technology in BCI is the non-invasive electroencephalography (EEG). Virtual Reality (VR) feedback has produced positive results, offering a more compelling experience to the user through 3D environments. The fusion of VR and BCI can provide realistic scenes for biofeedback and enhance the effect of biofeedback. In this paper, the EEG signals are acquired by using self-made 16-channel EEG portable acquisition system, and EEG attention features are extracted through computing the ratio of sensorimotor rhythm and theta wave, which are combined with the virtual reality scene “undersea world”. The results of the biofeedback system show this design can effectively reflect the current level of attention of the participants.
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Funding
This work is partially supported by the project of Jiangsu provincial science and Technology Department (To Zou L, Grant No. BE2018638), Changzhou Science and technology support program (To Zou L, Grant No. CE20175043) and the Jiangsu provincial 333 project.
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Wang, Y., Shen, X., Liu, H., Zhou, T., Merilampi, S., Zou, L. (2019). The Effectiveness of EEG-Feedback on Attention in 3D Virtual Environment. In: Yu, H., Liu, J., Liu, L., Ju, Z., Liu, Y., Zhou, D. (eds) Intelligent Robotics and Applications. ICIRA 2019. Lecture Notes in Computer Science(), vol 11744. Springer, Cham. https://doi.org/10.1007/978-3-030-27541-9_9
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DOI: https://doi.org/10.1007/978-3-030-27541-9_9
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