Electroencephalography signal processing: A comprehensive review and analysis of methods and techniques
The electroencephalography (EEG) signal is a noninvasive and complex signal that has
numerous applications in biomedical fields, including sleep and the brain–computer …
numerous applications in biomedical fields, including sleep and the brain–computer …
Artificial Intelligence in Aviation Safety: Systematic Review and Biometric Analysis
This study aims to offer aviation safety researchers, practitioners, and decision-makers a
comprehensive exploration of integrating advanced technologies, such as artificial …
comprehensive exploration of integrating advanced technologies, such as artificial …
Detection of pilot's mental workload using a wireless EEG headset in airfield traffic pattern tasks
C Liu, C Zhang, L Sun, K Liu, H Liu, W Zhu, C Jiang - Entropy, 2023 - mdpi.com
Elevated mental workload (MWL) experienced by pilots can result in increased reaction
times or incorrect actions, potentially compromising flight safety. This study aims to develop …
times or incorrect actions, potentially compromising flight safety. This study aims to develop …
[HTML][HTML] A Real-Time Detection of Pilot Workload Using Low-Interference Devices
Y Liu, Y Gao, L Yue, H Zhang, J Sun, X Wu - Applied Sciences, 2024 - mdpi.com
Excessive pilot workload is one of the significant causes of flight accidents. The detection of
flight workload can help optimize aircraft crew operation procedures, improve cockpit human …
flight workload can help optimize aircraft crew operation procedures, improve cockpit human …
The Use of Quantitative Electroencephalography (QEEG) to Assess Post-COVID-19 Concentration Disorders in Professional Pilots: An Initial Concept
Announced by WHO in 2020, the global COVID-19 pandemic caused by SARS-CoV-2 has
affected many people, leading to serious health consequences. These consequences are …
affected many people, leading to serious health consequences. These consequences are …
Enhancing the classification accuracy of EEG-Informed Inner Speech Decoder Using Multi-Wavelet Feature and Support Vector Machine
MM Abdulghani, WL Walters, KH Abed - IEEE Access, 2024 - ieeexplore.ieee.org
Speech involves the synchronization of the brain and the oral articulators. Inner speech, also
known as imagined speech or covert speech, refers to thinking in the form of sound without …
known as imagined speech or covert speech, refers to thinking in the form of sound without …
Optimizing Machine Translation: A Benchmarking Suite for Efficiency and Quality Enhancement
One of the core functions of Natural Language Processing (NLP) is machine translation—
which is essential for bridging linguistic and cultural communication gaps. Nevertheless …
which is essential for bridging linguistic and cultural communication gaps. Nevertheless …
LGNet: Learning local–global EEG representations for cognitive workload classification in simulated flights
Y Wang, M Han, Y Peng, R Zhao, D Fan, X Meng… - … Signal Processing and …, 2024 - Elsevier
Cognitive workload assessment is crucial for ensuring pilots' safety during flights.
Electroencephalography (EEG) is a promising tool for monitoring cognitive workload …
Electroencephalography (EEG) is a promising tool for monitoring cognitive workload …
[HTML][HTML] Exploring the impact of virtual reality flight simulations on EEG neural patterns and task performance
Neurophysiological measurements, such as electroencephalography (EEG), can be used to
derive insight into pilots' mental states during flight training and to track learning progress in …
derive insight into pilots' mental states during flight training and to track learning progress in …
Review of the Impacts of Human Factors on Cycling: Perceptions, Workload, and Behavior
Cycling remains a popular mode of transportation, yet cyclists are vulnerable road users that
face numerous safety challenges. Although human factors research typically focuses on …
face numerous safety challenges. Although human factors research typically focuses on …