Noninvasive EEG-Based Intelligent Mobile Robots: A Systematic Review

H Li, X Li, JR Millán - IEEE Transactions on Automation Science …, 2024 - ieeexplore.ieee.org
Brain-controlled mobile robotics can provide restoration of mobility for individuals with
severe physical disabilities and empower healthy people with a broader reachable range in …

Design and Develop a Non-Invasive Pulmonary Vibration Device for Secretion Drainage in Pediatric Patients with Pneumonia

A Wongkamhang, N Wuttipan… - Journal of Robotics …, 2023 - journal.umy.ac.id
The study aimed to develop a non-invasive pulmonary vibration device, specifically tailored
for pediatric patients, to address a range of pulmonary conditions. The device employs a PID …

Brain-computer interfacing for wheelchair control by detecting voluntary eye blinks

WC Francis, C Umayal… - Indonesian Journal of …, 2021 - section.iaesonline.com
The human brain is considered as one of the most powerful quantum computers and
combining the human brain with technology can even outperform artificial intelligence …

Effective connectivity for decoding electroencephalographic motor imagery using a probabilistic neural network

MA Awais, MZ Yusoff, DM Khan, N Yahya, N Kamel… - Sensors, 2021 - mdpi.com
Motor imagery (MI)-based brain–computer interfaces have gained much attention in the last
few years. They provide the ability to control external devices, such as prosthetic arms and …

Drone movement control by electroencephalography signals based on bci system

AH Abdulwahhab, I Myderrizi… - Advances in Electrical …, 2022 - acikerisim.gelisim.edu.tr
Brain Computer Interface enables individuals to communicate with devices through
ElectroEncephaloGraphy (EEG) signals in many applications that use brainwave-controlled …

[PDF][PDF] The Utilization of Fuzzy Logic Controllers in Steering Control Systems for Electric Ambulance Golf Carts.

R Chotikunnan, P Chotikunnan, P Imura… - … Journal of Robotics & …, 2024 - researchgate.net
Electric golf carts [1] serve diverse roles in various environments. They are commonly used
in shopping malls to assist elderly patrons in navigating long distances. Similarly …

[PDF][PDF] A novel approach on converting eye blink signals in EEG to speech with cross correlation technique

N Ikizler, G Ekim, A Atasoy - Advances in Electrical and Computer …, 2023 - researchgate.net
Amyotrophic Lateral Sclerosis or paralysis who are unable to perform any body movements
other than eye movements. A system has been developed to facilitate communication …

[PDF][PDF] A Novel IOT-Based Smart Wheelchair Design for Cerebral Palsy Patients

S Kataria, AS Menon, P Sultania, SS Paul… - … Journal of Scientific …, 2021 - researchgate.net
ABSTRACT Several patients face Cerebral Palsy. Such debilitating diseases impede motor
control and make it difficult for them to operate traditional electric wheelchairs. Existing …

Scalogram-Based Blink Detection in EEG with GoogLeNet, Gaussian Naive Bayes and Majority Voting Using meBaL Dataset

MA Mhadhbi, R Cherif… - 2024 Sixth International …, 2024 - ieeexplore.ieee.org
Low mobility is a significant global issue, affecting over 16% of the world's population, or one
in every six persons. It impacts the quality of life and daily routines of those affected. To …

EEG-based AI-BCI Wheelchair Advancement: A Brain-Computer Interfacing Wheelchair System Using Machine Learning Mechanism with Right and Left Voluntary …

B Paneru, B Paneru, KN Poudyal - arXiv preprint arXiv:2410.09763, 2024 - arxiv.org
This paper presents an Artificial Intelligence (AI) integrated novel approach to Brain-
Computer Interface (BCI)-based wheelchair development, utilizing a voluntary Right Left …