TY - GEN
T1 - Human-robot interaction using brain-computer interface based on EEG signal decoding
AU - Stankevich, Lev
AU - Sonkin, Konstantin
N1 - Publisher Copyright:
© Springer International Publishing Switzerland 2016.
PY - 2016
Y1 - 2016
N2 - This study describes a new approach to a problem of the human-robot interaction for remote control of robot behavior. Finding a solution to this problem is important for providing control of robots and unmanned vehicles. At the interaction a human operator can form commands for robot control. It is proposed to use a noninvasive brain-computer interface based on the decoding of signals of brain activity during motor imagery to generate the supervisor commands for robot control. The principles of the interaction of human as an operator and robot as an executor are considered. Using the brain-computer interface the operator can change robot behavior without any special movements and modules embedded into robot’s program. The study aimed to development of the humanrobot interaction system for non-direct control of the robot behavior based on the brain-computer interface for classification of EEG patterns of imaginary movements of one hand fingers in real-time. Example of such human-robot interaction realization for Nao robot with neurofeedback is considered.
AB - This study describes a new approach to a problem of the human-robot interaction for remote control of robot behavior. Finding a solution to this problem is important for providing control of robots and unmanned vehicles. At the interaction a human operator can form commands for robot control. It is proposed to use a noninvasive brain-computer interface based on the decoding of signals of brain activity during motor imagery to generate the supervisor commands for robot control. The principles of the interaction of human as an operator and robot as an executor are considered. Using the brain-computer interface the operator can change robot behavior without any special movements and modules embedded into robot’s program. The study aimed to development of the humanrobot interaction system for non-direct control of the robot behavior based on the brain-computer interface for classification of EEG patterns of imaginary movements of one hand fingers in real-time. Example of such human-robot interaction realization for Nao robot with neurofeedback is considered.
KW - Brain-computer interface
KW - Classifier committee
KW - Human-robot interaction
KW - Imaginary finger movements
UR - http://www.scopus.com/inward/record.url?scp=84984919854&partnerID=8YFLogxK
U2 - 10.1007/978-3-319-43955-6_13
DO - 10.1007/978-3-319-43955-6_13
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AN - SCOPUS:84984919854
SN - 9783319439549
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 99
EP - 106
BT - Interactive Collaborative Robotics - 1st International Conference, ICR 2016, Proceedings
A2 - Rigoll, Gerhard
A2 - Meshcheryakov, Roman
A2 - Ronzhin, Andrey
PB - Springer Verlag
T2 - 1st International Conference on Interactive Collaborative Robotics, ICR 2016
Y2 - 24 August 2016 through 26 August 2016
ER -