Robotic Arm Control Using EEG Signal

Our project involved the usage of electroencephalogram (EEG) signal for robotics control.

We built the robotic arm from scratch using two MakerBot 3D printers at the Toronto Public Reference library and designed the electrical assembly for the entire system. 

We used Emotiv headset to acquire the EEG signals and a neural network to perform classification based on wavelet spectrograms.

Coverage of final design: http://www.gadgetify.com/gesture-controlled-robotic-arm/

Building the arm from scratch. Using the arm in Berj Bardakjian's lab.

Pictures taken at ECE showcase. Public demonstration at the Digital Innovation Hub at the Toronto Public Library.