Artificial 3d printed Robotic Arm controlled by Brain Waves
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Date
2019
Authors
Khamayseh, Yahya
Khanfer, Ghaith
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Abstract
Our project's main goal is to build a prototype of brainwaves-controlled robotic arm, that can accept specific movement brain commands, by reading EEG signals from the brain's cortex, using a special helmet contains electrodes that will detect and sense the electrical charges produced by the brain's neurons, filtering them by transferring them to a computer that runs Artificial Intelligence models that will reduce the noise, analyze the signals, and be able to predict the most likely movement command, then the command will be translated and sent to a 3d printed robotic arm that will understand a specific movement signal from a defined set of commands and perform the movement action.
This project can be achieved by three ways:
1. EEG method (which we adopted): costs approximately 100-400 U.S. Dollars, can be easily detached from the patient's body, it has complete control, and it’s accurate.
2. Surgical method: costs 10,000-120,000 U.S. Dollars, can’t be detached from the patient's body, it has complete control, and it's very accurate.
3. Sensors method: costs below 100 U.S. Dollars, can be easily detached from the patient's body, it has limited control, and it’s accurate.
So, we see that the first method solves the problem with low cost, relatively high Accuracy.