In recent years, a significant leap has been made in various techniques to control robotics to assist people with upper limb amputations. Individuals with limb amputations have been facing significant challenges in their daily lives, where the simple and daily tasks become much more complex and take longer time, or even impossible, without depending on other people. Furthermore, traditional assistive devices often require significant physical effort, and they may be unable to perform different tasks efficiently, thus restricting the amputee's independence. Consequently, there is a need for an advanced assistive device to provide greater control and functionality to improve upper limb amputee independence. The Brain-Controlled Robotic Arm project aims to develop an advanced assistive device that allows individuals with disabilities to control a robotic arm using their brain signals. The project applies brain-computer interface technology (BCI) that allows the human brain to interact with a digital computer through electroencephalogram (EEG) technology. In this project, the robotic arm utilizes an electroencephalogram (EEG) to capture brain signals and then process those signals to get the required signal in order to control the robotic arm.
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Aljedaani et al. (2024) studied this question.
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