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作 者:王雪 李莎 李荣洋 宁焕生 WANG Xue;LI Sha;LI Rongyang;NING Huansheng(School of Computer and Communication,University of Science and Technology Beijing,Beijing 100083,China)
机构地区:[1]北京科技大学计算机与通信工程学院,北京100083
出 处:《工程科学学报》2023年第9期1528-1538,共11页Chinese Journal of Engineering
基 金:北京科技大学教改项目(JG2020Z08)。
摘 要:近期,随着元宇宙研究重心转向内容交流和社会互动,如何打破当前视听媒体交互瓶颈成为了亟待解决的问题,使用脑机接口进行感官模拟就是解决方案之一.目前,脑机接口已经作为生理信号采集工具在元宇宙诸多领域表现出了不可替代的应用潜力.研究三个应用场景,元宇宙艺术中的生成艺术、元宇宙医学中医疗保健严肃游戏、元宇宙虚拟社会中的虚拟人表情合成中脑机接口应用现状,调查已经存在的商业产品和专利(MindWave Mobile、GVS、Galea),类比网络安全和神经安全、生物伦理学和神经伦理学的发展过程,探讨脑机接口成熟并被广泛应用后可能面临的挑战和潜在问题,展望未来脑机接口在元宇宙中深入多样应用的可能性.The brain–machine interface has been an integral component of the metaverse since the inception of the latter,in his classic science fiction novel“True Names,”Vernor Vinge,the American mathematician and computer science Professor,describes a virtual world that can be accessed and experienced via a brain–machine interface.Following the introduction of this idea,the science fiction novel“Avalanche”formally proposed the concept of a metaverse,where a virtual world constructed by humans using digital technology can be mapped onto and interact with the real world.Large companies such as Meta,Apple,Sony,Microsoft,and Samsung have launched new metaverse-related hardware and software products.Domestic giants such as Tencent,Alibaba,and Baidu have also integrated themselves into the metaverse,confirming its future development and commercial value.Goldman Sachs estimates that trillions of dollars will be invested in the development of the metaverse over the next few years.As the focus of metaverse research shifts toward content exchange and social interaction,the issue of addressing the current bottlenecks in audiovisual media interaction has become an urgent matter,and the brain–computer interface is one of its solutions.Brain–computer interfaces are becoming increasingly complex.As a physiological signal acquisition tool,it has demonstrated indispensable application potential in numerous fields of the metaverse.A non-invasive brain–computer interface possesses the advantages of being easy to obtain and having good performance and accuracy.It is the preferred method for detecting brain signals in brain–computer interfaces.The Electroencephalogram is a unique physiological signal conducive to reflecting people's psychological state.By reading and categorizing the relevant papers in the paper database,including Web of Science,CNKI,IEL,and ACM Digital Library;investigating the products and functional parameters of Neuralink,Synchron,OpenBCI,and Emotiv;studying three application scenarios,namely,the genera
关 键 词:脑机接口 元宇宙 人机交互 生成艺术 严肃游戏 情感计算 神经安全 神经伦理学
分 类 号:TP399[自动化与计算机技术—计算机应用技术]
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