[HTML][HTML] A three-class classification of cognitive workload based on EEG spectral data

M Plechawska-Wójcik, M Tokovarov, M Kaczorowska… - Applied sciences, 2019 - mdpi.com
Evaluation of cognitive workload finds its application in many areas, from educational
program assessment through professional driver health examination to monitoring the …

Towards real-time recognition of users mental workload using integrated physiological sensors into a VR HMD

T Luong, N Martin, A Raison… - … symposium on mixed …, 2020 - ieeexplore.ieee.org
This paper describes an “all-in-one” solution for the real-time recognition of users' mental
workloads in virtual reality through the customization of a commercial HMD with …

Virtual reality sickness detection: an approach based on physiological signals and machine learning

N Martin, N Mathieu, N Pallamin… - … symposium on mixed …, 2020 - ieeexplore.ieee.org
Virtual Reality (VR) is spreading to the general public but still has a major issue: VR
sickness. To take it into consideration and minimize its occurrence, evaluation methods are …

A survey on affective and cognitive vr

T Luong, A Lecuyer, N Martin… - IEEE transactions on …, 2021 - ieeexplore.ieee.org
In Virtual Reality (VR), users can be immersed in emotionally intense and cognitively
engaging experiences. Yet, despite strong interest from scholars and a large amount of work …

Towards safer flights: a multi-modality fusion technology-based cognitive load recognition framework

Y Li, K Li, S Wang, Y Li, D Wen - 2022 IEEE 4th International …, 2022 - ieeexplore.ieee.org
The cognitive overload experienced by pilots in arduous circumstances is related to the
psychological state and sympathetic response of the human subject. The physiological …

A Review on Applications of Soft Computing Techniques in Neuroergonomics During the Last Decade

E Çakıt, W Karwowski - … and Cognitive Engineering: Proceedings of the …, 2021 - Springer
Soft computing (SC) methods play an important role in addressing the different types of
problems and offering potential alternatives at the present time. Such methods have also …

Can Mental Workload in EEG Tasks Be Classified Using Machine Learning Algorithms?

S Bellamy - 2020 - search.proquest.com
Measurement of mental workload is an important problem in human computer interaction
(HCI) circles. With the rapid development of technology in the field of HCI, there is a need for …