Adapting Brain Based Prosthetic Control for Everyday Use
January 1, 2013BAE Systems Engineering, 2012-13
Liaison(s): Dr. Geoffrey Meltzner ’95, Dr. Troy Lau
Advisor(s): Chris Clark
Students(s): Andrew Loeb (TL-S), Kate Crawford (TL-F), Kyle Carbon, Chris Lauinger, Josh Edelman (S), Madeline Goldkamp (F)
Brain Machine Interfaces (BMI) have the potential to radically alter how humans interact with modern technology. Unfortunately, the large majority of BMIs are only effective under ideal, laboratory conditions. Using a commercial neuroheadset, the goal of this project is to reliably detect and identify these signals between different test subjects under ideal and non-ideal conditions for the eventual control of a prosthetic limb.