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The purpose of this project is to expand the capabilities of an existing interface of controlling a static robotic arm with brainwaves. Brainwaves are collected with an Emotiv EPOC headset. The Emotiv headset utilizes electroencephalography (EEG) to collect the brain signals. This project makes use of the Emotiv software suites to classify the thoughts of a subject as a specific action. The software then sends a keystroke to the robotic interface to control the robotic arm. The team is to identify actions for mapping, implement these chosen actions, and evaluate the system’s performance. The actions chosen and their implementation would also test the limits of the interface, and provide groundwork for future research. This semester, we are actively working on creating our own, independent signal processing system for analysis on subjects' thought patterns.
Vijayan K Asari
Primary Advisor's Department
Electrical and Computer Engineering
Stander Symposium poster
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Cusumano, Matthew Thomas; Edmonds, Mark J.; Prince, Daniel P.; and Sutter, Andrew J., "Brain Machine Interface for a Robotic Arm" (2015). Stander Symposium Posters. 640.
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