A low cost SSVEP-EEG based human-computer-interaction system for completely locked-in patients Article Swipe

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Azhar Dilshad , Vali Uddin , Muhammad Rizwan Tanweer , Tariq Javid ·

YOU? · · 2021 · Open Access · · DOI: https://doi.org/10.11591/eei.v10i4.2923

Human computer interaction (HCI) for completely locked-in patients is a very difficult task. Nowadays, information technology (IT) is becoming an essential part of human life. Patients with completely locked-in state are generally unable to facilitate themselves by these useful technological advancements. Hence, they cannot use modern IT gadgets and applications throughout the lifespan after disability. Advancements in brain computer interface (BCI) enable operating IT devices using brain signals specifically when a person is unable to interact with the devices in conventional manner due to cognitive motor disability. However, existing state-of-the-art application specific BCI devices are comparatively too expensive. This paper presents a research and development work that aims to design and develop a low-cost general purpose HCI system that can be used to operate computers and a general purpose control panel through brain signals. The system is based on steady state visual evoked potentials (SSVEP). In proposed system, these electrical signals are obtained in response of a number of different flickering lights of different frequencies through electroencephalogram (EEG) electrodes and an open source BCI hardware. Successful trails conducted on healthy participants suggest that severely paralyzed subjects can operate a computer or control panel as an alternative to conventional HCI device.

Related Topics

Brain–Computer Interface

Computer Science

Electroencephalography

Human–Computer Interaction

Cognition

Artificial Intelligence

Concepts

Brain–computer interface Computer science Electroencephalography Interface (matter) Flicker Human–computer interaction Task (project management) Cognition Artificial intelligence Neuroscience Psychology Engineering Maximum bubble pressure method Bubble Parallel computing Systems engineering Operating system

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Type: article
Language: en
Landing Page: https://doi.org/10.11591/eei.v10i4.2923
PDF: https://beei.org/index.php/EEI/article/download/2923/2250
OA Status: diamond
Cited By: 5
References: 34
Related Works: 10
OpenAlex ID: https://openalex.org/W3178955071

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DOI: https://doi.org/10.11591/eei.v10i4.2923

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Title: A low cost SSVEP-EEG based human-computer-interaction system for completely locked-in patients

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Type: article

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Language: en

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Publication year: 2021

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Publication date: 2021-07-07

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Authors: Azhar Dilshad, Vali Uddin, Muhammad Rizwan Tanweer, Tariq Javid

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Landing page: https://doi.org/10.11591/eei.v10i4.2923

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PDF URL: https://beei.org/index.php/EEI/article/download/2923/2250

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Concepts: Brain–computer interface, Computer science, Electroencephalography, Interface (matter), Flicker, Human–computer interaction, Task (project management), Cognition, Artificial intelligence, Neuroscience, Psychology, Engineering, Maximum bubble pressure method, Bubble, Parallel computing, Systems engineering, Operating system

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Cited by: 5

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Citations by year (recent): 2024: 1, 2023: 2, 2022: 2

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References (count): 34

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Related works (count): 10

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