A comprehensive survey on vehicular networking: Communications, applications, challenges, and upcoming research directions
Nowadays, advanced communication technologies are being utilized to develop intelligent
transportation management and driving assistance. Through the ability to exchange traffic …
transportation management and driving assistance. Through the ability to exchange traffic …
Noninvasive EEG-Based Intelligent Mobile Robots: A Systematic Review
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 …
severe physical disabilities and empower healthy people with a broader reachable range in …
Robust predictive control for EEG-based brain–robot teleoperation
Brain-teleoperation robot control ensures that human beings interact with telepresence
mobile systems through the brain neural signals. In this study, a hierarchical robust …
mobile systems through the brain neural signals. In this study, a hierarchical robust …
EEGGAN-Net: enhancing EEG signal classification through data augmentation
J Song, Q Zhai, C Wang, J Liu - Frontiers in Human Neuroscience, 2024 - frontiersin.org
Background Emerging brain-computer interface (BCI) technology holds promising potential
to enhance the quality of life for individuals with disabilities. Nevertheless, the constrained …
to enhance the quality of life for individuals with disabilities. Nevertheless, the constrained …
Gender differences in EEG responses to color and black-white images: implications for neuromarketing strategies
Analyzing the decision of different genders during shop** is an interesting topic in the
neuromarketing industry. This study explores the EEG signal acquisition of twenty subjects …
neuromarketing industry. This study explores the EEG signal acquisition of twenty subjects …
Characterisation of cognitive load using machine learning classifiers of electroencephalogram data
Q Wang, D Smythe, J Cao, Z Hu, KJ Proctor, AP Owens… - Sensors, 2023 - mdpi.com
A high cognitive load can overload a person, potentially resulting in catastrophic accidents. It
is therefore important to ensure the level of cognitive load associated with safety-critical …
is therefore important to ensure the level of cognitive load associated with safety-critical …
FB-CCNN: A Filter Bank Complex Spectrum Convolutional Neural Network with Artificial Gradient Descent Optimization
D Xu, F Tang, Y Li, Q Zhang, X Feng - Brain Sciences, 2023 - mdpi.com
The brain–computer interface (BCI) provides direct communication between human brains
and machines, including robots, drones and wheelchairs, without the involvement of …
and machines, including robots, drones and wheelchairs, without the involvement of …
Physiological Noise Filtering in Functional Near-Infrared Spectroscopy Signals Using Wavelet Transform and Long-Short Term Memory Networks
Activated channels of functional near-infrared spectroscopy are typically identified using the
desired hemodynamic response function (dHRF) generated by a trial period. However, this …
desired hemodynamic response function (dHRF) generated by a trial period. However, this …
Adversarial Neural Network Training for Secure and Robust Brain-to-Brain Communication
In the rapidly evolving domain of brain-to-brain communication, safeguarding the
transmission of information against adversarial threats is paramount. This study introduces …
transmission of information against adversarial threats is paramount. This study introduces …
EEG-Based Classification of Spoken Words Using Machine Learning Approaches
Amyotrophic lateral sclerosis (ALS) is a neurodegenerative disease that affects the nerve
cells in the brain and spinal cord. This condition leads to the loss of motor skills and, in many …
cells in the brain and spinal cord. This condition leads to the loss of motor skills and, in many …