[HTML][HTML] Recognition of the mental workloads of pilots in the cockpit using EEG signals
The commercial flightdeck is a naturally multi-tasking work environment, one in which
interruptions are frequent come in various forms, contributing in many cases to aviation …
interruptions are frequent come in various forms, contributing in many cases to aviation …
Advancing aviation safety through machine learning and psychophysiological data: a systematic review
I Alreshidi, I Moulitsas, KW Jenkins - IEEE Access, 2024 - ieeexplore.ieee.org
In the aviation industry, safety remains vital, often compromised by pilot errors attributed to
factors such as workload, fatigue, stress, and emotional disturbances. To address these …
factors such as workload, fatigue, stress, and emotional disturbances. To address these …
[HTML][HTML] Multimodal approach for pilot mental state detection based on EEG
I Alreshidi, I Moulitsas, KW Jenkins - Sensors, 2023 - mdpi.com
The safety of flight operations depends on the cognitive abilities of pilots. In recent years,
there has been growing concern about potential accidents caused by the declining mental …
there has been growing concern about potential accidents caused by the declining mental …
[HTML][HTML] Assessment of mental workload based on multi-physiological signals
X Fan, C Zhao, X Zhang, H Luo… - Technology and Health …, 2020 - content.iospress.com
BACKGROUND: Mental workload is one of the contributing factors to human errors in road
accidents or other potentially adverse incidents. OBJECTIVE: This research probes the …
accidents or other potentially adverse incidents. OBJECTIVE: This research probes the …
[HTML][HTML] Interpretable machine learning models for three-way classification of cognitive workload levels for eye-tracking features
M Kaczorowska, M Plechawska-Wójcik, M Tokovarov - Brain sciences, 2021 - mdpi.com
The paper is focussed on the assessment of cognitive workload level using selected
machine learning models. In the study, eye-tracking data were gathered from 29 healthy …
machine learning models. In the study, eye-tracking data were gathered from 29 healthy …
[HTML][HTML] Automated Classification of Cognitive Workload Levels Based on Psychophysiological and Behavioural Variables of Ex-Gaussian Distributional Features
M Kaczorowska, M Plechawska-Wójcik, M Tokovarov… - Brain Sciences, 2022 - mdpi.com
The study is focused on applying ex-Gaussian parameters of eye-tracking and cognitive
measures in the classification process of cognitive workload level. A computerised version of …
measures in the classification process of cognitive workload level. A computerised version of …
[图书][B] Towards Practical Driver Cognitive Workload Monitoring via Electroencephalography
V Bakshi - 2018 - search.proquest.com
Abstract Monitoring of Driver Cognitive Workload is an active area of research and has
gained traction in recent years. This study pertains towards the development of an …
gained traction in recent years. This study pertains towards the development of an …
Analysis of alternatives for neural network training techniques in assessing cognitive workload
C Elkin, V Devabhaktuni - … and Cognitive Engineering: Proceedings of the …, 2019 - Springer
Cognitive workload serves as a vital component in many human factors applications.
Furthermore, the ability to make assessments, classifications, and predictions of mental load …
Furthermore, the ability to make assessments, classifications, and predictions of mental load …
An adaptive user interface based on psychological test and task-relevance
The current advances into Human-Computer Interaction (HCI) are accompanied by the quick
growth of Machine Learning (ML) and Artificial Intelligence (AI). It opens countless …
growth of Machine Learning (ML) and Artificial Intelligence (AI). It opens countless …
A Multi-sensor Approach to Linking Behavior to Job Performance
AM Perez, AE Kraft, R Galvan-Garza, M Pava… - … AC 2018, Held as Part of …, 2018 - Springer
Traditionally job performance reviews occur infrequently, only a few times a year at best, and
can be largely subjective. Additionally, most quantitative assessment of job performance (eg …
can be largely subjective. Additionally, most quantitative assessment of job performance (eg …