用脑电波直接控制6自由度机械臂，助力残障人士实现精细动作
Neurofeedback-Driven 6-DOF Robotic Arm: Integration of Brain-Computer Interface with Arduino for Advanced Control
- 通过脑电设备采集信号，经软件处理后由Arduino驱动机械臂
- 系统成功实现对6自由度机械臂的实时精准控制，准确率高
- 适用于假肢、轮椅等辅助设备，为康复工程提供新方案
脑机接口（BCI）在机器人控制中的应用日益广泛。针对残障人士难以完成抓握、握手等日常动作的问题，利用脑电信号控制执行器具有重要意义。本项目采用Emotive Insight脑机接口设备采集脑信号，通过Emotive软件分析并连接Arduino代码，借助HITI Brain软件实现脑活动与机械臂的无缝通信。实验结果表明，该系统能高效控制6自由度机械臂，具备向假肢及其他多自由度装置扩展的能力。此外，系统还可应用于自行车、移动机器人、轮椅等各类执行器，展示出良好的通用性与实用性。
原文摘要 · Abstract (English)
Brain computer interface (BCI) applications in robotics are becoming more famous and famous. People with disabilities are facing a real-time problem of doing simple activities such as grasping, handshaking etc. in order to aid with this problem, the use of brain signals to control actuators is showing a great importance. The Emotive Insight, a Brain-Computer Interface (BCI) device, is utilized in this project to collect brain signals and transform them into commands for controlling a robotic arm using an Arduino controller. The Emotive Insight captures brain signals, which are subsequently analyzed using Emotive software and connected with Arduino code. The HITI Brain software integrates these devices, allowing for smooth communication between brain activity and the robotic arm. This system demonstrates how brain impulses may be utilized to control external devices directly. The results showed that the system is applicable efficiently to robotic arms and also for prosthetic arms with Multi Degree of Freedom. In addition to that, the system can be used for other actuators such as bikes, mobile robots, wheelchairs etc.
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