Sequence-based manipulation of robotic arm control in brain machine interface

2018 ◽  
Vol 2 (2) ◽  
pp. 149-160 ◽  
Author(s):  
Justin Kilmarx ◽  
Reza Abiri ◽  
Soheil Borhani ◽  
Yang Jiang ◽  
Xiaopeng Zhao
Keyword(s):  
Robotic Arm ◽  
Brain Machine Interface ◽  
Machine Interface ◽  
Robotic Arm Control

Brain-Machine Interface Using Brain Surface Electrodes

2013 ◽  
pp. 1535-1548
Author(s):  
Masayuki Hirata ◽  
Takufumi Yanagisawa ◽  
Kojiro Matsushita ◽  
Hisato Sugata ◽  
Yukiyasu Kamitani ◽  
...  
Keyword(s):  
Integrative Approach ◽  
Noninvasive Evaluation ◽  
Brain Machine Interface ◽  
Input Devices ◽  
Surface Electrodes ◽  
Brain Surface ◽  
Brain Signals ◽  
Machine Interface ◽  
Robotic Arm Control ◽  
Direct Use

The brain-machine interface (BMI) enables us to control machines and to communicate with others, not with the use of input devices, but through the direct use of brain signals. This chapter describes the integrative approach the authors used to develop a BMI system with brain surface electrodes for real-time robotic arm control in severely disabled people, such as amyotrophic lateral sclerosis patients. This integrative BMI approach includes effective brain signal recording, accurate neural decoding, robust robotic control, a wireless and fully implantable device, and a noninvasive evaluation of surgical indications.

Brain machine interface using Emotiv EPOC to control robai cyton robotic arm

2015 ◽  
Author(s):  
Daniel Prince ◽  
Mark Edmonds ◽  
Andrew Sutter ◽  
Matthew Cusumano ◽  
Wenjie Lu ◽  
...  
Keyword(s):  
Robotic Arm ◽  
Brain Machine Interface ◽  
Machine Interface

Combining a Brain–Machine Interface and an Electrooculography Interface to perform pick and place tasks with a robotic arm

2015 ◽  
Vol 72 ◽  
pp. 181-188 ◽  
Author(s):  
Enrique Hortal ◽  
Eduardo Iáñez ◽  
Andrés Úbeda ◽  
Carlos Perez-Vidal ◽  
José M. Azorín
Keyword(s):  
Robotic Arm ◽  
Brain Machine Interface ◽  
Pick And Place ◽  
Machine Interface
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