当前，脑机接口技术正加速渗透至各领域，应用场景持续拓展。今年7月，工信部等7部门联合印发 《关于推动脑机接口产业创新发展的实施意见》，明确至2030年构建具有国际竞争力的产业生态。多地 积极推动脑机接口产业发展，通过政策支持、场景开放、生态构建等举措，加速技术从实验室走向规模 化应用。 发挥标准先导作用 近期，北京市市场监督管理局等4部门印发《北京市以标准赋能科技创新和产业创新融合发展行动 方案(2025—2027年)》，明确提出借鉴5G技术领域发展经验，在脑机接口等战略性新兴领域，加紧部署 标准研制类创新项目，推动共性技术的攻关和应用。聚焦高精尖产业，该文件提出，前瞻布局脑机接口 等未来产业领域基础共性标准研制，推动脑监测、脑功能康复和脑功能替代等脑机接口领域标准制定。 以医疗级场景为核心，以战略产品为导向，上海发布《脑机接口未来产业培育行动方案(2025— 2030年)》，坚持项目经理团队主责、重点任务清单突破、未来产业基金赋能、未来产业集聚区支撑 的"四位一体"未来产业培育机制，持续强化脑机接口全链条联动、全过程创新和全产业链布局，聚力打 造具有全球影响力的脑机接口创新高地。 在脑机接口的检验检测和标准 ...

"不同的人脑电波差异很大，以往的脑机接口设备在使用前需要长达30分钟的校正实验，通过数据采 集、多次实验，现如今的脑机接口设备不用长时间校准，戴上就可以用。"琶洲实验室脑机智能研究中 心科研人员许凯琳表示，非侵入式装置小巧便捷，不仅不用做手术，避免出现排异反应，还因不会被长 出的体内细胞遮蔽信号，后期相较侵入式脑机接口装置信号更稳定。 将大脑状态"翻译"成可量化的信号 当"脑电波"隔空操控轮椅从科幻走进现实，AI手语翻译架起沟通的桥梁，科技正为残障群体带来生活新 可能。日前，广州市科技局（十五运会和残特奥会科技工作专班办公室）组织举办的"探秘全运黑科 技"公众开放日系列活动走进琶洲实验室，探索科技助残新路径。 非侵入式接口即戴即用 脑机AI轮椅可用"意念"隔空控制 "脑机接口"是指通过在人脑神经与具有高生物相容性的外部设备间建立直接连接通路，实现神经系统和 外部设备间信息交互与功能整合的技术。简而言之，便是直接通过大脑向机器发指令。 区别于传统轮椅只能用动作、语音控制，脑机AI轮椅依赖使用者高度集中的注意力与平缓的头部转 动，通过凝视屏幕光标实现操控。"你需要习惯它的灵敏度，就像与自己的意识对话。"华南理工大 ...

Group 1 - The core viewpoint of the articles highlights the transformation of wheelchairs from traditional mobility aids to smart, electric models that cater to the growing needs of the elderly population, particularly in the context of aging and mobility challenges [1][2][12] - The domestic wheelchair market saw significant growth, with online sales reaching nearly 600,000 units and sales revenue of approximately 450 million yuan in Q1 2024, marking a year-on-year increase of over 35% compared to 2023 [1][15] - The demand for wheelchairs is projected to increase, with potential user demand estimated at around 5.5 million units across various age groups, particularly among those aged 65 and above [4][12] Group 2 - The shift towards electric and smart wheelchairs is driven by technological advancements, addressing the limitations of traditional manual wheelchairs, which often pose challenges for elderly users [4][15] - The average price of electric wheelchairs in China rose to nearly 4,000 yuan per unit in 2023, influenced by rising raw material costs and increased levels of smart features [15] - The global production of electric wheelchairs increased from approximately 3.53 million units in 2015 to about 6.15 million units in 2023, indicating a growing demand for these products [15] Group 3 - The emergence of smart wheelchairs with advanced features, such as stair-climbing capabilities and brain-computer interface controls, represents a significant innovation in the industry, enhancing mobility for users [19][24][26] - The concept of shared wheelchairs is gaining traction, leveraging IoT technology to provide accessible mobility solutions in public spaces, with projections indicating a market size exceeding 120 billion yuan by 2025-2030 [27][30] - The introduction of new national standards for electric wheelchairs in 2024 aims to standardize product classifications and safety requirements, facilitating clearer guidelines for manufacturers and consumers [30][34]

Core Insights - The development of a brain-machine AI mouse allows paralyzed patients to control devices without physical movement, significantly enhancing their quality of life [1][2] - The technology, developed by a team led by Li Yuanqing, has been recognized for its potential in assisting individuals with disabilities and has been implemented in various hospitals [2][4] Group 1: Technology Overview - The brain-machine interface technology captures and decodes multi-modal signals such as EEG, eye movement, and head motion to accurately identify user intentions [2] - This technology serves as an interface between the human brain and external devices, translating brain signals into control commands for various applications [2] Group 2: Product Development and Application - The research team has focused on the commercialization of their findings since 2019, resulting in products like the brain-machine AI mouse, AI wheelchair, and smart hospital solutions [2] - The brain-machine AI mouse has been successfully tested in hospitals, improving the self-care capabilities of patients with physical disabilities [2] Group 3: Future Prospects - The advancement of brain science and machine learning algorithms presents significant opportunities for the application of brain-machine interface technology in monitoring and rehabilitating brain disorders [4]