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陆凯, 岳康, 胡昊辰, 沙浩, 刘越, 王涌天. 神经反馈训练中的虚拟现实技术综述[J]. 计算机辅助设计与图形学学报, 2023, 35(8): 1150-1161. DOI: 10.3724/SP.J.1089.2023.19677
引用本文: 陆凯, 岳康, 胡昊辰, 沙浩, 刘越, 王涌天. 神经反馈训练中的虚拟现实技术综述[J]. 计算机辅助设计与图形学学报, 2023, 35(8): 1150-1161. DOI: 10.3724/SP.J.1089.2023.19677
Lu Kai, Yue Kang, Hu Haochen, Sha Hao, Liu Yue, Wang Yongtian. Survey on Virtual Reality Technology in Neurofeedback Training[J]. Journal of Computer-Aided Design & Computer Graphics, 2023, 35(8): 1150-1161. DOI: 10.3724/SP.J.1089.2023.19677
Citation: Lu Kai, Yue Kang, Hu Haochen, Sha Hao, Liu Yue, Wang Yongtian. Survey on Virtual Reality Technology in Neurofeedback Training[J]. Journal of Computer-Aided Design & Computer Graphics, 2023, 35(8): 1150-1161. DOI: 10.3724/SP.J.1089.2023.19677

神经反馈训练中的虚拟现实技术综述

Survey on Virtual Reality Technology in Neurofeedback Training

  • 摘要: 随着虚拟现实技术及脑-机接口技术的快速发展,虚拟现实在认知训练及神经康复等领域得到了广泛的应用,逐渐成为相关领域研究的热点.与传统的认知训练方法相比,应用于神经反馈训练中的虚拟现实技术通过将用户真实的训练环境替换为可定制的沉浸式虚拟环境,在显著降低系统使用成本的同时有效地提升了训练绩效.从虚拟现实技术在神经反馈训练领域的优势和应用出发,分析了神经反馈训练机制,讨论了虚拟现实技术的反馈训练方法;结合神经反馈训练中的虚拟现实技术研究现状,提出诱发更明显的脑电特征、设计个性化训练方案、提高反馈信息的传输速率、提高训练过程的舒适度以及融合多模态脑影像技术是未来的发展方向.

     

    Abstract: With the rapid development of virtual reality(VR) technology and brain-computer interface(BCI)technology, VR has been widely used in the fields of cognitive training and neural rehabilitation. Compared with the traditional cognitive training methods, the VR technology applied to neurofeedback training can significantly reduce the system cost and effectively improve the training performance by replacing the user’s real training environment with a highly customizable and immersive virtual environment. Starting from the advantages and applications of VR technology in neurofeedback training, the neurofeedback training mechanism is summarized along with discussion of the feedback training methods of VR technology. Based on the research status of VR technology in neurofeedback training, a description on the future directions of the technology is provided, which includes inducing a more obvious electroencephalography feature, designing personalized training program, increasing the transmission rate of feedback information, improving the comfort of the training process, and adding multi-modal brain imaging technology.

     

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