High performance in brain-computer interface control of an avatar using the missing hand representation in long term amputees

2017 ◽  
Author(s):  
Ori Cohen ◽  
Dana Doron ◽  
Moshe Koppel ◽  
Rafael Malach ◽  
Doron Friedman
Keyword(s):  
High Performance ◽  
Brain Computer Interface ◽  
Computer Interface ◽  
Interface Control

scholarly journals Thinking Penguin: Multimodal Brain–Computer Interface Control of a VR Game

2013 ◽  
Vol 5 (2) ◽  
pp. 117-128 ◽  
Author(s):  
Robert Leeb ◽  
Marcel Lancelle ◽  
Vera Kaiser ◽  
Dieter W. Fellner ◽  
Gert Pfurtscheller
Keyword(s):  
Brain Computer Interface ◽  
Computer Interface ◽  
Interface Control

A new time coding approach for CTVEP-based brain-computer interface

2020 ◽  
Vol 20 (3) ◽  
pp. 743-757
Author(s):  
Teng Ma ◽  
Xuezhuan Zhao
Keyword(s):  
Information Transfer ◽  
High Performance ◽  
Visual Stimulation ◽  
Brain Computer Interface ◽  
Low Frequency ◽  
Computer Interface ◽  
Binary Codes ◽  
Frequency Change ◽  
Time Coding ◽  
New Time

The chromatic transient visual evoked potential (CTVEP)-based brain-computer interface (BCI) can provide safer and more comfortable stimuli than the traditional VEP-based BCIs due to its low frequency change and no luminance variation in the visual stimulation. However, it still generates relatively few codes that correspond to input commands to control the outside devices, which limits its application in the practical BCIs to some extent. Aiming to obtain more codes, we firstly proposes a new time coding technique to CTVEP-based BCI by utilizing a combination of two 4-bit binary codes to construct four 8-bit binary codes to increase the control commands to extend its application in practice. In the experiment, two time-encoded isoluminant chromatic stimuli are combined to serve as different commands for BCI control, and the results show that the high performance based on the new time coding approach with the average accuracy up to 90.28% and average information transfer rate up to 27.78 bits/min for BCI can be achieved. It turns out that the BCI system based on the proposed method is feasible, stable and efficient, which makes the method very suitable for the practical application of BCIs, such as military, entertainment and medical enterprise.

scholarly journals EEG-based brain-computer interface in chronic tetraplegics to actuate a robotic arm device as assistive technology - clinical survey and long term post trial follow-up

BIOPHILIA ◽  
2011 ◽  
Vol 1 (4) ◽  
pp. 4_28-4_28
Author(s):  
Gelu Onose ◽  
Cristian Grozea ◽  
Aurelian Anghelescu ◽  
Cristina Daia ◽  
Crina Julieta Sinescu ◽  
...  
Keyword(s):  
Assistive Technology ◽  
Brain Computer Interface ◽  
Computer Interface ◽  
Robotic Arm ◽  
Clinical Survey ◽  
Post Trial

scholarly journals Learning in brain-computer interface control evidenced by joint decomposition of brain and behavior

2020 ◽  
Vol 17 (4) ◽  
pp. 046018 ◽  
Author(s):  
Jennifer Stiso ◽  
Marie-Constance Corsi ◽  
Jean M Vettel ◽  
Javier Garcia ◽  
Fabio Pasqualetti ◽  
...  
Keyword(s):  
Brain Computer Interface ◽  
Computer Interface ◽  
Interface Control ◽  
Brain And Behavior ◽  
And Behavior ◽  
Joint Decomposition
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