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

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.

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TOWARDS THE DEVELOPMENT OF A ELECTRO-ENCEPHALOGRAPHY BASED NEUROPROSTHETIC TERMINAL DEVICE

Jurnal Teknologi ◽

10.11113/jt.v76.5490 ◽

2015 ◽

Vol 76 (4) ◽

Cited By ~ 2

Author(s):

Khairunnisa Johar ◽

Cheng Yee Low ◽

Fazah Akhtar Hanapiah ◽

Ahmed Jaffar ◽

Farhana Idris ◽

...

Keyword(s):

Brain Computer Interface ◽

Motor Impairment ◽

Cost Effective ◽

Computer Interface ◽

Prosthetic Hand ◽

3D Animation ◽

Eeg Signals ◽

Recognition Phase ◽

Severe Motor ◽

Severe Motor Impairment

Brain-Computer Interface (BCI) using Electroencephalography (EEG) enables non-invasive direct control between human brain and machine and opens up new possibilities in providing healthcare solutions for people with severe motor impairment. This paper reviews the recent trends in neuroprostheses and presents a conceptual design for the development of a cost-effective neuroprosthetic hand deploying EEG signals. Towards the development of a brain-computer interface for neuroprostheses, EEG signals are recorded from healthy subjects using the Emotiv Suite Software. The recognition phase and signal analysis are performed using the EEGLab Software. Signal processing is required until clear rhythmic waves are obtained as a command to control a prosthetic hand. A Graphical User Interface (GUI) will be developed using Matlab Software and aided with 3D Animation as a medium of interaction for basic training for the patient before using the prosthetic hand.

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Towards a Brain-Computer Interface for Dexterous Control of a Multi-Fingered Prosthetic Hand

2007 3rd International IEEE/EMBS Conference on Neural Engineering ◽

10.1109/cne.2007.369646 ◽

2007 ◽

Cited By ~ 12

Author(s):

Soumyadipta Acharya ◽

Vikram Aggarwal ◽

Francesco Tenore ◽

Hyun-Chool Shin ◽

Ralph Etienne-Cummings ◽

...

Keyword(s):

Brain Computer Interface ◽

Computer Interface ◽

Prosthetic Hand

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A Review- Brain Controlled Wheelchair using EEG headset

International Journal for Research in Applied Science and Engineering Technology ◽

10.22214/ijraset.2021.38741 ◽

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

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