TY - GEN
T1 - EEG based brain-machine interface for navigation of robotic device
AU - Mahmud, Mufti
AU - Hawellek, David
AU - Bertoldo, Alessandra
PY - 2010
Y1 - 2010
N2 - The highly parallel neurophysiological recordings and the increasing number of signal processing tools open up new avenues for connecting technologies directly to neuronal processes. As the understanding of the neuronal signals is taking a better shape, lot more work to perform is coming up to properly interpret and use these signals for brain-machine interfaces. A simple brain-machine interface may be able to reestablish the broken loop of the persons with motor dysfunction. With time the brain-machine interfacing is growing more complex due to the increased availability of instruments and processes for implementation. In this work, the author proposes a brain-machine interface model through a few simple processes for automated navigation and control of robotic device using the extracted features from the EEG signals based on saccadic eye movement tasks.
AB - The highly parallel neurophysiological recordings and the increasing number of signal processing tools open up new avenues for connecting technologies directly to neuronal processes. As the understanding of the neuronal signals is taking a better shape, lot more work to perform is coming up to properly interpret and use these signals for brain-machine interfaces. A simple brain-machine interface may be able to reestablish the broken loop of the persons with motor dysfunction. With time the brain-machine interfacing is growing more complex due to the increased availability of instruments and processes for implementation. In this work, the author proposes a brain-machine interface model through a few simple processes for automated navigation and control of robotic device using the extracted features from the EEG signals based on saccadic eye movement tasks.
KW - Brain-machine interface
KW - Electroencephalogram
KW - Neurophysiological recording
KW - Saccadic eye movement
KW - Signal processing
UR - https://www.scopus.com/pages/publications/78650343717
U2 - 10.1109/BIOROB.2010.5627015
DO - 10.1109/BIOROB.2010.5627015
M3 - Conference contribution
AN - SCOPUS:78650343717
SN - 9781424477081
T3 - 2010 3rd IEEE RAS and EMBS International Conference on Biomedical Robotics and Biomechatronics, BioRob 2010
SP - 168
EP - 172
BT - 2010 3rd IEEE RAS and EMBS International Conference on Biomedical Robotics and Biomechatronics, BioRob 2010
T2 - 2010 3rd IEEE RAS and EMBS International Conference on Biomedical Robotics and Biomechatronics, BioRob 2010
Y2 - 26 September 2010 through 29 September 2010
ER -