[HTML][HTML] Attention detection in virtual environments using EEG signals: a scoping review
RHC Souza, ELM Naves - frontiers in physiology, 2021 - frontiersin.org
The competitive demand for attention is present in our daily lives, and the identification of
neural processes in the EEG signals associated with the demand for specific attention can …
neural processes in the EEG signals associated with the demand for specific attention can …
[HTML][HTML] Estimating cognitive workload in an interactive virtual reality environment using EEG
With the recent surge of affordable, high-performance virtual reality (VR) headsets, there is
unlimited potential for applications ranging from education, to training, to entertainment, to …
unlimited potential for applications ranging from education, to training, to entertainment, to …
Detecting mental workload in virtual reality using eeg spectral data: A deep learning approach
H Ved, C Yildirim - … on artificial intelligence and virtual reality …, 2021 - ieeexplore.ieee.org
Mental workload, which denotes the amount of mental effort a task requires users to exert, is
a critical consideration in various human-computer interaction scenarios, including virtual …
a critical consideration in various human-computer interaction scenarios, including virtual …
[HTML][HTML] Decoding the cognitive states of attention and distraction in a real-life setting using EEG
Lapses in attention can have serious consequences in situations such as driving a car,
hence there is considerable interest in tracking it using neural measures. However, as most …
hence there is considerable interest in tracking it using neural measures. However, as most …
On the analysis of EEG features for mental workload assessment during physical activity
Assessment of mental workload is crucial for applications which require constant attention
and where conditions such as mental fatigue and drowsiness must be avoided. As such …
and where conditions such as mental fatigue and drowsiness must be avoided. As such …
[HTML][HTML] EEG-based workload estimation across affective contexts
Workload estimation from electroencephalographic signals (EEG) offers a highly sensitive
tool to adapt the human–computer interaction to the user state. To create systems that …
tool to adapt the human–computer interaction to the user state. To create systems that …
[PDF][PDF] An integrative approach to analyze EEG signals and human brain dynamics in different cognitive states
Electroencephalograph (EEG) data provide insight into the interconnections and
relationships between various cognitive states and their corresponding brain dynamics, by …
relationships between various cognitive states and their corresponding brain dynamics, by …
Evaluating player task engagement and arousal using electroencephalography
Advances in affective computing technologies have made it possible for researchers to
investigate brain function while users interact in virtual environments. Progress in sensors …
investigate brain function while users interact in virtual environments. Progress in sensors …
Investigating hierarchical and ensemble classification approaches to mitigate the negative effect of varying stress state on EEG-based detection of mental workload …
M Bagheri, SD Power - Brain-Computer Interfaces, 2021 - Taylor & Francis
Studies on EEG-based mental workload detection generally consider workload exclusively
in terms of task demands, as manipulated through the variation of task difficulty. However …
in terms of task demands, as manipulated through the variation of task difficulty. However …
Cognitive workload modulation through degraded visual stimuli: A single-trial EEG study
Objective. Our experiments explored the effect of visual stimuli degradation on cognitive
workload. Approach. We investigated the subjective assessment, event-related potentials …
workload. Approach. We investigated the subjective assessment, event-related potentials …