Multimodal fusion for objective assessment of cognitive workload: A review

E Debie, RF Rojas, J Fidock, M Barlow… - IEEE transactions on …, 2019 - ieeexplore.ieee.org
Considerable progress has been made in improving the estimation accuracy of cognitive
workload using various sensor technologies. However, the overall performance of different …

Automatic speech recognition from neural signals: a focused review

C Herff, T Schultz - Frontiers in neuroscience, 2016 - frontiersin.org
Speech interfaces have become widely accepted and are nowadays integrated in various
real-life applications and devices. They have become a part of our daily life. However …

[HTML][HTML] Brain-computer interfaces and augmented/virtual reality

F Putze, A Vourvopoulos, A Lécuyer… - Frontiers in human …, 2020 - frontiersin.org
In recent years, Augmented and Virtual Reality (AR/VR) has matured technically, delivering
higher levels of immersion and presence to users, while it has also become a widely …

Quantitative influence and performance analysis of virtual reality laparoscopic surgical training system

P Yu, J Pan, Z Wang, Y Shen, J Li, A Hao… - BMC medical education, 2022 - Springer
Background Virtual reality (VR) surgery training has become a trend in clinical education.
Many research papers validate the effectiveness of VR-based surgical simulators in training …

Investigating methods for cognitive workload estimation for assistive robots

A Aygun, T Nguyen, Z Haga, S Aeron, M Scheutz - Sensors, 2022 - mdpi.com
Robots interacting with humans in assistive contexts have to be sensitive to human cognitive
states to be able to provide help when it is needed and not overburden the human when the …

Mental workload classification with concurrent electroencephalography and functional near-infrared spectroscopy

Y Liu, H Ayaz, PA Shewokis - Brain-Computer Interfaces, 2017 - Taylor & Francis
A brain-computer interface that measures the mental workload level of operators has
applications in human-computer interactions (HCI) for reducing human error and improving …

Decoding mental workload in virtual environments: a fNIRS study using an immersive n-back task

F Putze, C Herff, C Tremmel, T Schultz… - 2019 41st Annual …, 2019 - ieeexplore.ieee.org
Virtual Reality (VR) has emerged as a novel paradigm for immersive applications in training,
entertainment, rehabilitation, and other domains. In this paper, we investigate the automatic …

Exploring the SenseMaking process through interactions and fNIRS in immersive visualization

A Galati, R Schoppa, A Lu - IEEE Transactions on Visualization …, 2021 - ieeexplore.ieee.org
Theories of cognition inform our decisions when designing human-computer interfaces, and
immersive systems enable us to examine these theories. This work explores the …

[HTML][HTML] Recent advances in hybrid brain-computer interface systems: a technological and quantitative review

S Sadeghi, A Maleki - Basic and clinical neuroscience, 2018 - ncbi.nlm.nih.gov
Abstract Brain-Computer Interface (BCI) is a system that enables users to transmit
commands to the computer using their brain activity recorded by electroencephalography. In …

Assessment of mental workload by EEG+ fNIRS

H Aghajani, A Omurtag - … Conference of the IEEE Engineering in …, 2016 - ieeexplore.ieee.org
We investigated the use of a multimodal functional neuroimaging system in quantifying
mental workload of healthy human volunteers. We recorded behavioral performance …