Brain-Bot: An Unmanned Ground Vehicle (UGV) Using Raspberry Pi and Brain Computer Interface (BCI) Technology

2017 ◽  
pp. 252-261
Author(s):  
Vishal Chaurasia ◽  
Vikas Mishra ◽  
Lokesh Jain
Keyword(s):  
Brain Computer Interface ◽  
Computer Interface ◽  
Raspberry Pi ◽  
Unmanned Ground Vehicle ◽  
Ground Vehicle

scholarly journals Brain Controlled Wheelchair using EEG Headset

2021 ◽  
Vol 9 (12) ◽  
pp. 239-242
Author(s):  
Gagandeep Singh Siledar
Keyword(s):  
Brain Computer Interface ◽  
Physical Disabilities ◽  
Computer Interface ◽  
Raspberry Pi ◽  
Finger Movement ◽  
Body Parts ◽  
Moving Body

Abstract: In this paper, a brain controlled wheelchair has been designed which tends to reduce the complexity of movement for paralyzed people who are not capable of using various wheelchairs operating on technologies like joystick, finger movement or gesture controlled due to disability of moving body parts. The entire model is centrally based on Brain-computer Interface (BCI) combined with Raspberry Pi 3 and EEG sensor headset capture signals based on Neurosky mindwave technology which are further processed using MATLAB. Despite of the physical disabilities, this model will help quadriplegic patients to assist on their own and feel independent. Keywords: EEG, BCI, Matlab, Raspberry Pi, Neurosignal, NeuroSkyTechnology.

scholarly journals A Review- Brain Controlled Wheelchair using EEG headset

2021 ◽  
Vol 9 (11) ◽  
pp. 267-270
Author(s):  
Gagandeep Singh Siledar
Keyword(s):  
Review Paper ◽  
Brain Computer Interface ◽  
Physical Disabilities ◽  
Computer Interface ◽  
Raspberry Pi ◽  
Finger Movement ◽  
Body Parts ◽  
Moving Body

Abstract: In this review paper, a brain controlled wheelchair models has been discussed which tends to reduce the complexity of movement for paralyzed people who are not capable of using various wheelchairs operating on technologies like joystick, finger movement or gesture controlled due to disability of moving body parts. The entire model is centrally based on Brain-computer Interface (BCI) combined with Raspberry Pi 3 and EEG sensor headset capture signals based on Neurosky mindwave technology which are further processed using MATLAB. Despite of the physical disabilities, this model will help quadriplegic patients to assist on their own and feel independent. Keywords: EEG, BCI, Matlab, Raspberry Pi, Neurosignal, NeuroSkyTechnology

scholarly journals EEG-based Brain Computer Interface Prosthetic Hand using Raspberry Pi 4

2021 ◽  
Vol 12 (9) ◽  
Author(s):  
Haider Abdullah Ali ◽  
Diana Popescu ◽  
Anton Hadar ◽  
Andrei Vasilateanu ◽  
Ramona Cristina Popa ◽  
...  
Keyword(s):  
Brain Computer Interface ◽  
Computer Interface ◽  
Raspberry Pi ◽  
Prosthetic Hand

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 ◽  
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