Mental workload classification method based on EEG cross-session subspace alignment
H Qu, M Zhang, L Pang - Mathematics, 2022 - mdpi.com
Electroencephalogram (EEG) signals are sensitive to the level of Mental Workload (MW).
However, the random non-stationarity of EEG signals will lead to low accuracy and a poor …
However, the random non-stationarity of EEG signals will lead to low accuracy and a poor …
AI-Based Method of Air Traffic Controller Workload Assessment
The most troublesome factor in the work of an air traffic controller, which negatively affects
the level of safety of air operations, is the uneven and variable distribution of air traffic …
the level of safety of air operations, is the uneven and variable distribution of air traffic …
Neuroergonomic applications in information visualization
Abstract Information visualization affords us the ability to reason, understand, and gain
insight into data. Traditional behavioral and subjective methods of evaluating visualizations …
insight into data. Traditional behavioral and subjective methods of evaluating visualizations …
Mental workload management and evaluation: A literature review for sustainable processes and organizations
Current organizational and manufacturing processes imply high mental workload demands
that can be evaluated through the construct of MWL (mental workload). This term is often …
that can be evaluated through the construct of MWL (mental workload). This term is often …
[BOEK][B] From body to brain: Using artificial intelligence to identify user skills & intentions in interactive scenarios
M Papakostas - 2019 - search.proquest.com
Artificial Intelligence has probably been the most rapidly evolving field of science during the
last decade. Its numerous real-life applications have radically altered the way we experience …
last decade. Its numerous real-life applications have radically altered the way we experience …
基于加权相位滞后指数热力图的脑力负荷识别.
张可新, 曲洪权, **洋 - Science Technology & Engineering, 2024 - search.ebscohost.com
摘要脑力负荷识别对提高人机交互操作人员的工作绩效具有重要意义. 目前已有研究表明,
通过提取脑电(electroencephalogram, EEG) 信号的能量特征进行脑力负荷识别取得了不错的 …
通过提取脑电(electroencephalogram, EEG) 信号的能量特征进行脑力负荷识别取得了不错的 …
MODELO PARA LA DETERMINACIÓN DE UN ÍNDICE INTEGRAL DE CARGA MENTAL BASADO EN ELECTROENCEFALOGRAMA EN UN DETERMINADO TIEMPO …
NI Arana De Las Casas - 2023 - 51.143.95.221
El comportamiento, el desempeño y las interacciones humanas con la tecnología, puede
jugar un papel importante en los sistemas de manufactura sustentable que los tiempos …
jugar un papel importante en los sistemas de manufactura sustentable que los tiempos …