An affordable 3D printed prosthesis using computer vision to track and choose grip patterns for the user. Support BCI and EMG as well.
This is a transhumeral prosthesis I have built to help a congenital limb deficiency patient in my country. The prosthesis is equipped with computer vision (object recognition and object tracking) to support wrist movement and choosing best grip patterns for object handling. The prosthesis is also equipped with a simple brain-computer interface and myoelectric sensor so that user could control the prosthesis at will, or give consent to the actions chosen by the prosthesis. The prosthesis weights less than 1 kg, and has high dexterity. Overall, it has 10 DOF, controlled with Raspberry Pi and several Arduinos. Entire prosthesis is modular, so you could split the design to smaller prostheses (transradial prosthesis with wrist and hand, or just the hand). I wrote several applications and software to go with the prosthesis, including an animated arm application that could be used to control the prosthesis (serial communication) and a logger application to record brain and muscle signals.”

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