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.

翻译：脑机接口在机器人领域的应用正日益普及。残障人士在进行抓握、握手等简单活动时面临实时操作困难，利用脑信号控制执行器对此问题具有重要价值。本项目采用Emotive Insight脑机接口设备采集脑信号，通过Arduino控制器将其转换为机械臂控制指令。Emotive Insight捕获的脑信号经Emotive软件分析后与Arduino代码联动，HITI Brain软件集成这些设备，实现了脑活动与机械臂间的无缝通信。该系统展示了如何直接利用脑脉冲控制外部设备。实验结果表明，该系统能有效应用于机械臂及多自由度仿生假肢。此外，该系统还可扩展至自行车、移动机器人、轮椅等其他执行器的控制。