TY - GEN
T1 - Robot application of a brain computer interface to Staubli TX40 robots - Early stages
AU - Waytowich, Nicholas
AU - Henderson, Andrew
AU - Krusienski, Dean
AU - Cox, Daniel
PY - 2010
Y1 - 2010
N2 - Brain-Computer Interface (BCI) is a system that allows individuals with severe neuromuscular disorders to communicate and control devices using their brain waves. It has been demonstrated that a non-invasive scalp-recorded ElectroEncephaloGraphy (EEG) based BCI paradigm can be used by a disabled individual for long-term, reliable control of a personal computer. This BCI paradigm allows users to select from a set of symbols presented in a flashing visual matrix by classifying the resulting evoked brain responses. The same BCI paradigm and techniques can be used in a straightforward implementation to generate high-level commands for controlling a robotic manipulator in three dimensions according to user intent. The robot application is envisioned to provide superior dimensional control over alternative BCI techniques, as well as provide a wider variety of practical functions for performing everyday tasks. This paper describes the early stages toward providing disabled individuals a new level of autonomy for performing everyday tasks, hence improving their quality of life. The objective of the initial experiment is to demonstrate that an EEG-based BCI can provide accurate and reliable high-level control of a robotic manipulator. A man-machine interface between the human brain and the robotic manipulator is developed and the early stages of insight into the practicality of a BCI operated assistive manipulation device are explored.
AB - Brain-Computer Interface (BCI) is a system that allows individuals with severe neuromuscular disorders to communicate and control devices using their brain waves. It has been demonstrated that a non-invasive scalp-recorded ElectroEncephaloGraphy (EEG) based BCI paradigm can be used by a disabled individual for long-term, reliable control of a personal computer. This BCI paradigm allows users to select from a set of symbols presented in a flashing visual matrix by classifying the resulting evoked brain responses. The same BCI paradigm and techniques can be used in a straightforward implementation to generate high-level commands for controlling a robotic manipulator in three dimensions according to user intent. The robot application is envisioned to provide superior dimensional control over alternative BCI techniques, as well as provide a wider variety of practical functions for performing everyday tasks. This paper describes the early stages toward providing disabled individuals a new level of autonomy for performing everyday tasks, hence improving their quality of life. The objective of the initial experiment is to demonstrate that an EEG-based BCI can provide accurate and reliable high-level control of a robotic manipulator. A man-machine interface between the human brain and the robotic manipulator is developed and the early stages of insight into the practicality of a BCI operated assistive manipulation device are explored.
KW - Biomedical robot application
KW - Brain-Computer interface
UR - http://www.scopus.com/inward/record.url?scp=78651446914&partnerID=8YFLogxK
M3 - Conference article
AN - SCOPUS:78651446914
SN - 9781424496730
T3 - 2010 World Automation Congress, WAC 2010
BT - 2010 World Automation Congress, WAC 2010
T2 - 2010 World Automation Congress, WAC 2010
Y2 - 19 September 2010 through 23 September 2010
ER -