Optimizing Motor Imagery Parameters for Robotic Arm Control by Brain-Computer Interface.Brain-Computer Interface (BCI) technology has been shown to provide new communication possibilities, conveying brain information externally.  BCI-based robot control has started to play an important role, especially in medically assistive robots but not only there.  For example, a BCI-controlled robotic arm can provide patients diagnosed with neurodegenerative diseases such as Locked-in syndrome (LIS), Amyotrophic lateral sclerosis (ALS), and others with the ability to manipulate different objects.  This study presents the optimization of the configuration parameters of a three-class Motor Imagery (MI) -based BCI for controlling a six Degrees of Freedom (DOF) robotic arm in a plane. 
BCI
Optimizing Motor Imagery Parameters for Robotic Arm Control by Brain-Computer Interface.Brain-Computer Interface (BCI) technology has been shown to provide new communication possibilities, conveying brain information externally.  BCI-based robot control has started to play an important role, especially in medically assistive robots but not only there.  For example, a BCI-controlled robotic arm can provide patients diagnosed with neurodegenerative diseases such as Locked-in syndrome (LIS), Amyotrophic lateral sclerosis (ALS), and others with the ability to manipulate different objects.  This study presents the optimization of the configuration parameters of a three-class Motor Imagery (MI) -based BCI for controlling a six Degrees of Freedom (DOF) robotic arm in a plane. 
BCI
BCI-based robot control has started to play an important role, especially in medically assistive robots but not only there. 
BCI-based robot control
Electroencephalography (EEG) signals are recorded from 64 positions on the scalp according to the International 10-10 System. 
EEG
Optimizing Motor Imagery Parameters for Robotic Arm Control by Brain-Computer Interface.Brain-Computer Interface (BCI) technology has been shown to provide new communication possibilities, conveying brain information externally.  BCI-based robot control has started to play an important role, especially in medically assistive robots but not only there.  For example, a BCI-controlled robotic arm can provide patients diagnosed with neurodegenerative diseases such as Locked-in syndrome (LIS), Amyotrophic lateral sclerosis (ALS), and others with the ability to manipulate different objects.  This study presents the optimization of the configuration parameters of a three-class Motor Imagery (MI) -based BCI for controlling a six Degrees of Freedom (DOF) robotic arm in a plane. 
BCI