Title :
Towards robotic re-embodiment using a Brain-and-Body-Computer Interface
Author :
Martens, Nikolas ; Jenke, Robert ; Abu-Alqumsan, Mohammad ; Kapeller, Christoph ; Hintermüller, Christoph ; Guger, Christoph ; Peer, Angelika ; Buss, Martin
Author_Institution :
Inst. of Autom. Control Eng., Tech. Univ. Munchen, Munich, Germany
Abstract :
Early stages in the development of a Brain-and-Body-Computer Interface controlled robot avatar are presented. The robot is aimed at performing well-defined daily tasks upon the choice and on behalf of a user. We built on recent advances in neuroscience, robotics and machine learning to demonstrate that it is possible to control a robot, accurately and reliably, by decoding scalp-recorded non-invasive Electroencephalographic (EEG) potentials into user intentions.
Keywords :
brain-computer interfaces; electroencephalography; learning (artificial intelligence); medical signal processing; BBCI; brain-and-body-computer interface; machine learning; neuroscience; robot avatar; robotic re-embodiment; scalp-recorded non-invasive electroencephalographic potentials; Avatars; Electroencephalography; Frequency measurement; Humans; Physiology; Robot sensing systems;
Conference_Titel :
Intelligent Robots and Systems (IROS), 2012 IEEE/RSJ International Conference on
Conference_Location :
Vilamoura
Print_ISBN :
978-1-4673-1737-5
DOI :
10.1109/IROS.2012.6386259
