Brain interface for iRobot
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Uploaded by denizerdogmus on Jun 10, 2010
A demonstration of steady state visual evoked potential based brain computer interface to navigate an iRobot platform. The operator selects one of 4 commands for the robot by looking at a checkerboard; EEG signal processing algorithms detect which checkerboard/command is selected; commands are transmitted to the laptop which controls the robot via a remote connection over the internet; and the laptop on the robot sends back the video from the robot's view webcam to the operator via Skype.
Credits:
This is a capstone project completed by four undergraduate ECE seniors at Northeastern University.
Capstone Group: Saumitra Dasgupta, Mike Fanton, Jonathan Pham, Mike Willard
Advisers: Deniz Erdogmus, Bahram Shafai
Acknowledgments: This material is based upon work supported by the National Science Foundation under Grants 0934509 & 0914808. Any opinions, findings, and conclusions or recommendations expressed in this material are those of the authors and do not necessarily reflect the views of the National Science Foundation.
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