Effects of virtual reality on creative performance and emotions: A study of brainwaves

HT Huang, YS Chang - Computers in Human Behavior, 2023 - Elsevier
Creativity is the basis for innovation and a source of national and industrial competitiveness.
Thus, pedagogical enhancement of creativity is desirable, particularly via application of new …

[HTML][HTML] How Immersed Are You? State of the Art of the Neurophysiological Characterization of Embodiment in Mixed Reality for Out-of-the-Lab Applications

V Ronca, A Ricci, R Capotorto, L Di Donato, D Freda… - Applied Sciences, 2024 - mdpi.com
Mixed Reality (MR) environments hold immense potential for inducing a sense of
embodiment, where users feel like their bodies are present within the virtual space. This …

A discriminative SPD feature learning approach on Riemannian manifolds for EEG classification

BH Kim, JW Choi, H Lee, S Jo - Pattern Recognition, 2023 - Elsevier
Covariance matrix learning methods have become popular for many classification tasks
owing to their ability to capture interesting structures in non-linear data while respecting the …

A comprehensive review of deep learning in EEG-based emotion recognition: classifications, trends, and practical implications

W Ma, Y Zheng, T Li, Z Li, Y Li, L Wang - PeerJ Computer Science, 2024 - peerj.com
Emotion recognition utilizing EEG signals has emerged as a pivotal component of human–
computer interaction. In recent years, with the relentless advancement of deep learning …

Characterization and classification of kinesthetic motor imagery levels

D Martinez-Peon, NV Garcia-Hernandez… - Journal of Neural …, 2024 - iopscience.iop.org
Objective. Kinesthetic Motor Imagery (KMI) represents a robust brain paradigm intended for
electroencephalography (EEG)-based commands in brain-computer interfaces (BCIs) …

Pupil-linked arousal modulates network-level EEG signatures of attention reorienting during immersive multitasking

P Lapborisuth, S Koorathota… - Journal of Neural …, 2023 - iopscience.iop.org
Objective. When multitasking, we must dynamically reorient our attention between different
tasks. Attention reorienting is thought to arise through interactions of physiological arousal …

A novel acupuncture technique at the Zusanli point based on virtual reality and EEG: a pilot study

Y Zhang, W Hua, Z Zhou, H Zhu, J Xiong… - Frontiers in …, 2024 - frontiersin.org
Introduction Acupuncture is a Traditional Chinese Medicine (TCM) method that achieves
therapeutic effects through the interaction of neurotransmitters and neural regulation. It is …

EEG-based mental workload assessment in a simulated flight task using single-channel brain rhythm sequence

X Xu, H Gao, Y Wang, L Qian, K Wu… - IEEE Transactions …, 2024 - ieeexplore.ieee.org
In real-world scenarios, quantitative assessment of mental workload level (MWL) is crucial
for preventing performance degradation. Although prior researches have explored the …

Repetitive Transcranial Alternating Current Stimulation to Improve Working Memory: An EEG-fNIRS Study

D Yang, MK Kang, G Huang… - … on Neural Systems …, 2024 - ieeexplore.ieee.org
Transcranial electrical stimulation has demonstrated the potential to enhance cognitive
functions such as working memory, learning capacity, and attentional allocation. Recently, it …

Effectiveness of the Combined Use of a Brain–Machine Interface System and Virtual Reality as a Therapeutic Approach in Patients with Spinal Cord Injury: A …

A De Miguel-Rubio, I Gallego-Aguayo… - Healthcare, 2023 - mdpi.com
Spinal cord injury has a major impact on both the individual and society. This damage can
cause permanent loss of sensorimotor functions, leading to structural and functional …