Embedded electroencephalogram processing and control for the actuation of a prosthetic thumb prototype

Classical control methods for prosthetics have many drawbacks when it comes to controlling smart prosthetics. This paper uses electroencephalogram (EEG) signals, which have many advantages over electromyogram (EMG) signals, including the ability to integrate a robotic opposable thumb in a prosthetic hand. Servo motors are controlled by an embedded processor that responds to predetermined electropotentials that are gathered using an EEG headset. The results are promising and the system proposed is a viable option for controlling a prosthetic hand's thumb.