CRCNS: Hybrid non-invasive brain-machine interfaces for 3D object manipulation

CRCNS：用于 3D 对象操作的混合非侵入性脑机接口

• 批准号: 8089310
• 负责人: Emanuel Todorov
• 金额: $ 25.23万
• 依托单位: UNIVERSITY OF WASHINGTON
• 依托单位国家: 美国
• 财政年份: 2010
• 资助国家: 美国
• 起止时间: 2010-07-01 至 2014-06-30
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/8089310
• 关键词: Address; Algorithms; Amputees; Behavior; Brain; Communication; Complex; Data; Data Analyses; Data Collection; Data Set; Devices; Dose; Electrodes; Electroencephalography; Epilepsy; Eye Movements; Feedback; Goals; Hand; Head Movements; Home environment; Hybrids; Instruction; Knowledge; Learning; Left; Life; Lifting; Machine Learning; Magnetic Resonance Imaging; Manuals; Measurement; Methodology; Methods; Modeling; Motor; Motor Activity; Movement; Movement Disorders; Neck; Patients; Physical environment; Positioning Attribute; Prosthesis; Robot; Robotics; Scheme; Science; Shapes; Signal Transduction; Simulate; Source; Specific qualifier value; Spinal cord injury; Stroke; Testing; Text; Time; Upper Extremity; Work; arm; brain machine interface; design; grasp; instrument; interest; kinematics; visual feedback; Address; Algorithms; Amputees; Behavior; Brain; Communication; Complex; Data; Data Analyses; Data Collection; Data Set; Devices; Dose; Electrodes; Electroencephalography; Epilepsy; Eye Movements; Feedback; Goals; Hand; Head Movements; Home environment; Hybrids; Instruction; Knowledge; Learning; Left; Life; Lifting; Machine Learning; Magnetic Resonance Imaging; Manuals; Measurement; Methodology; Methods; Modeling; Motor; Motor Activity; Movement; Movement Disorders; Neck; Patients; Physical environment; Positioning Attribute; Prosthesis; Robot; Robotics; Scheme; Science; Shapes; Signal Transduction; Simulate; Source; Specific qualifier value; Spinal cord injury; Stroke; Testing; Text; Time; Upper Extremity; Work; arm; brain machine interface; design; grasp; instrument; interest; kinematics; visual feedback

暂无数据