scholarly journals CONTROL TEST OF A WEARABLE ELBOW ORTHOSIS WITH BI-MUSCULAR PNEUMATIC SERVO-DRIVE BASED ON BRAIN-COMPUTER INTERFACE

2019 ◽  
Keyword(s):  
Brain Computer Interface ◽  
Computer Interface ◽  
Control Test ◽  
Servo Drive

scholarly journals BRAIN-COMPUTER INTERFACE FOR CONTROL OF ELECTRO–HYDRAULIC SERVO DRIVE

2018 ◽  
Vol 18 (4) ◽  
pp. 86-95
Author(s):  
Piotr WOS ◽  
Ryszard DINDORF
Keyword(s):  
Wireless Network ◽  
Signal Analysis ◽  
Brain Computer Interface ◽  
Test Stand ◽  
Computer Interface ◽  
Servo Drive ◽  
Control Signals ◽  
Bioelectric Signal ◽  
Hydraulic Servo ◽  
Bioelectric Signals

The aim of the study was to perform bioelectric signal analysis focusing on its applicability to control of the electro-hydraulic servo drive. The natural bioelectric signals generated by brain, facial muscles and eye muscles read by the NIA (Neural Impulse Actuator) are translated into control commands in the controller of electro-hydraulic servo drive. Bioelectric signals detected by means of special forehead band with three sensors are sent to the actuator box, where they are interpreted as control signals. The test stand was constructed to control of the electro-hydraulic servo drive by means of bioelectric signals generated by the operator. The control signals from the actuator box are transmitted via a wireless network to the controller of electro-hydraulic positioning drive.

Simultaneous Classification of Multiple Motor Imagery and P300 for Increase in Output Information of Brain-computer Interface

2013 ◽  
Vol 133 (3) ◽  
pp. 635-641
Author(s):  
Genzo Naito ◽  
Lui Yoshida ◽  
Takashi Numata ◽  
Yutaro Ogawa ◽  
Kiyoshi Kotani ◽  
...  
Keyword(s):  
Motor Imagery ◽  
Brain Computer Interface ◽  
Computer Interface ◽  
Output Information

NON-INVASIVE BCI METHOD: EEG - ELECTROENCEPHALOGRAPHY

2019 ◽  
pp. 139-145
Author(s):  
Selma Büyükgöze
Keyword(s):  
Brain Computer Interface ◽  
Computer Interface ◽  
Electrode Placement ◽  
Eeg Signals ◽  
Non Invasive ◽  
Brain Signals ◽  
Brain States ◽  
The Brain

Brain Computer Interface consists of hardware and software that convert brain signals into action. It changes the nerves, muscles, and movements they produce with electro-physiological signs. The BCI cannot read the brain and decipher the thought in general. The BCI can only identify and classify specific patterns of activity in ongoing brain signals associated with specific tasks or events. EEG is the most commonly used non-invasive BCI method as it can be obtained easily compared to other methods. In this study; It will be given how EEG signals are obtained from the scalp, with which waves these frequencies are named and in which brain states these waves occur. 10-20 electrode placement plan for EEG to be placed on the scalp will be shown.

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