[HTML][HTML] Current status, challenges, and possible solutions of EEG-based brain-computer interface: a comprehensive review
Brain-Computer Interface (BCI), in essence, aims at controlling different assistive devices
through the utilization of brain waves. It is worth noting that the application of BCI is not …
through the utilization of brain waves. It is worth noting that the application of BCI is not …
[HTML][HTML] Motor-imagery EEG-based BCIs in wheelchair movement and control: A systematic literature review
The pandemic emergency of the coronavirus disease 2019 (COVID-19) shed light on the
need for innovative aids, devices, and assistive technologies to enable people with severe …
need for innovative aids, devices, and assistive technologies to enable people with severe …
A review of disability EEG based wheelchair control system: Coherent taxonomy, open challenges and recommendations
Context Intelligent wheelchair technology has recently been utilised to address several
mobility problems. Techniques based on brain–computer interface (BCI) are currently used …
mobility problems. Techniques based on brain–computer interface (BCI) are currently used …
[HTML][HTML] A BCI system based on motor imagery for assisting people with motor deficiencies in the limbs
Motor deficiencies constitute a significant problem affecting millions of people worldwide.
Such people suffer from a debility in daily functioning, which may lead to decreased and …
Such people suffer from a debility in daily functioning, which may lead to decreased and …
Review of the state-of-the-art of brain-controlled vehicles
Brain-Controlled Vehicle (BCV) is an already established technology usually designed for
disabled patients. This review focuses on the most relevant topics on brain-controlled …
disabled patients. This review focuses on the most relevant topics on brain-controlled …
Use of artificial intelligence techniques to assist individuals with physical disabilities
S Pancholi, JP Wachs… - Annual Review of …, 2024 - annualreviews.org
Assistive technologies (AT) enable people with disabilities to perform activities of daily living
more independently, have greater access to community and healthcare services, and be …
more independently, have greater access to community and healthcare services, and be …
Convolutional neural network-based EEG signal analysis: A systematic review
S Rajwal, S Aggarwal - Archives of Computational Methods in …, 2023 - Springer
The identification and classification of human brain activities are essential for many medical
and Brain-Computer Interface (BCI) systems, saving human lives and time …
and Brain-Computer Interface (BCI) systems, saving human lives and time …
Brain–Computer interfaces in neurorecovery and neurorehabilitation
Recent advances in brain–computer interface technology to restore and rehabilitate
neurologic function aim to enable persons with disabling neurologic conditions to …
neurologic function aim to enable persons with disabling neurologic conditions to …
Design and construction of electric wheelchair with mecanum wheel
N Thongpance, P Chotikunnan - Journal of Robotics and Control …, 2023 - journal.umy.ac.id
This research aimed to design and construct an electric wheelchair with mecanum wheels
that can move in any desired direction and speed based on the joystick controller. This …
that can move in any desired direction and speed based on the joystick controller. This …
[PDF][PDF] Intelligent classification of liver disorder using fuzzy neural system
In this study, designed an intelligent model for liver disorders based on Fuzzy Neural System
(FNS) models is considered. For this purpose, fuzzy system and neural networks (FNS) are …
(FNS) models is considered. For this purpose, fuzzy system and neural networks (FNS) are …