A Brain-Computer Interface for Controlling a Mobile Assistive Device by Using the NeuroSky EEG Headset and Raspberry Pi

2022 ◽  
pp. 231-238
Author(s):  
Oana-Andreea Rușanu
Keyword(s):  
Brain Computer Interface ◽  
Computer Interface ◽  
Assistive Device ◽  
Raspberry Pi

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.

DESIGN OF ASSISTIVE WHEELCHAIR SYSTEM DIRECTLY STEERED BY HUMAN THOUGHTS

2013 ◽  
Vol 23 (03) ◽  
pp. 1350013 ◽  
Author(s):  
JUNHUA LI ◽  
JIANYI LIANG ◽  
QIBIN ZHAO ◽  
JIE LI ◽  
KAN HONG ◽  
...  
Keyword(s):  
Real World ◽  
Peripheral Nerves ◽  
Brain Computer Interface ◽  
External Environment ◽  
Computer Interface ◽  
Assistive Device ◽  
Disabled People ◽  
Electroencephalogram Eeg ◽  
Bci System ◽  
Daily Application

Integration of brain–computer interface (BCI) technique and assistive device is one of chief and promising applications of BCI system. With BCI technique, people with disabilities do not have to communicate with external environment through traditional and natural pathways like peripheral nerves and muscles, and could achieve it only by their brain activities. In this paper, we designed an electroencephalogram (EEG)-based wheelchair which can be steered by users' own thoughts without any other involvements. We evaluated the feasibility of BCI-based wheelchair in terms of accuracies and real-world testing. The results demonstrate that our BCI wheelchair is of good performance not only in accuracy, but also in practical running testing in a real environment. This fact implies that people can steer wheelchair only by their thoughts, and may have a potential perspective in daily application for disabled people.

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
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