Brain-Controlled Robotic Arm System Using EEG Signal | ||||
| International Journal of Industry and Sustainable Development | ||||
| Volume 5, Issue 2, 2024, Page 120-130 PDF (1.04 MB) | ||||
| Document Type: Original Article | ||||
| DOI: 10.21608/ijisd.2024.296238.1048 | ||||
 View on SCiNiTO | ||||
| Authors | ||||
Mohamed Ali Torad1; Mohamed Samir Ahmed2; Alaa Mohamed Abdel-badea  2; Yosr Mohamed Ezzat2; Ahmed Mohamed Fahem2; Mazen Tarek Ali2; Mohamed Mostafa Mohamed2
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| 1Electrical Engineering Department, Faculty of Engineering and Technology, Higher Technological Institute, Egypt | ||||
| 2Mechanical Engineering, specialized in Mechatronics department at Future University in Egypt (FUE) in Cairo, Egypt | ||||
| Abstract | ||||
| The dream of mind-controlled prosthetics is becoming a reality with EEG-powered robotic arms. These remarkable devices translate the language of the mind into physical actions. Imagine Slipping on a comfortable EEG headset that detects the subtle brainwaves created by the mind during motion. Your thoughts are like a secret code, the headband picks up these signals processed by a software interface and delivered to a microcontroller. This interface sorts the brain activity to find your commands, which are sent to a computer by tiny electrodes that acts as the brain of the robotic arm. This translates your thoughts into instructions for the arm's motors, which perform the motion based on the EEG commands received. The robotic arm should perform the movements of a natural arm as closely as feasible, considering budget, and mechanical component availability. But the ultimate goal remains clear: to create a robotic arm that feels as natural and easy to use as an extra limb. | ||||
| Keywords | ||||
| Robotic arm; Raspberry Pi; Machine learning; EEG Sensors | ||||
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