Developing an intelligent EEG platform for manipulation of robotic arms and rehabilitation applications

开发用于操纵机械臂和康复应用的智能脑电图平台

• 批准号: 2103927
• 金额: --
• 依托单位: University of Edinburgh
• 依托单位国家: 英国
• 项目类别: Studentship
• 财政年份: 2018
• 资助国家: 英国
• 起止时间: 2018 至 无数据
• 项目状态: 已结题
• 来源: https://gtr.ukri.org/projects?ref=studentship-2103927
• 关键词: Developing; intelligent; EEG; platform; manipulation

In this research, a novel EEG sensor-based platform is proposed to improve the control of prosthetic arms for disabled patients. The results of such research can be extended to applications like rehabilitation and control of paralyzed muscles. The research consists of developing a new hardware setup to record the human body signals and movements. Furthermore, a 3D printable prosthetic arm will be developed. The movement control of the robotic arm is based on the sensory input signals. Moreover, an intelligent movement algorithm will be trained and implemented based on natural human body movements. The successful implementation of the project will lead to the development of a functional prosthetic arm that will have a movement similar to that of a human hand. It's not worthy to mention that this will the first research combing data from EEG, EMG, movement sensors and cameras for robotic arm control.

在这项研究中，提出了一种新的基于EEG传感器的平台，以改善残疾人假肢的控制。这些研究的结果可以扩展到瘫痪肌肉的康复和控制等应用。该研究包括开发一种新的硬件设置来记录人体信号和运动。此外，还将开发3D打印假肢。机器人臂的运动控制基于传感器输入信号。此外，智能运动算法将基于自然人体运动进行训练和实施。该项目的成功实施将导致开发一种功能性假肢，其运动类似于人手。值得一提的是，这将是第一项将来自EEG、EMG、运动传感器和摄像头的数据用于机器人手臂控制的研究。