脑机接口技术助残疾人提升生活自理能力

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]