Zobrazeno 1 - 10
of 105
pro vyhledávání: '"Yunfa, Fu"'
Publikováno v:
Frontiers in Neuroscience, Vol 18 (2024)
Brain-computer interface (BCI) is a revolutionizing human-computer interaction with potential applications in both medical and non-medical fields, emerging as a cutting-edge and trending research direction. Increasing numbers of groups are engaging i
Externí odkaz:
https://doaj.org/article/3802adc49f594acabf3cdb21379f0a93
Autor:
Xue Yuan, Maozhou Chen, Peng Ding, Anan Gan, Anmin Gong, Zhaosong Chu, Wenya Nan, Yunfa Fu, Yuqi Cheng
Publikováno v:
IEEE Transactions on Neural Systems and Rehabilitation Engineering, Vol 32, Pp 33-42 (2024)
Establishing objective and quantitative imaging markers at individual level can assist in accurate diagnosis of Major Depressive Disorder (MDD). However, the clinical heterogeneity of MDD and the shift to multisite data decreased identification accur
Externí odkaz:
https://doaj.org/article/4d6f0b61304447f082bca11fd975a852
Publikováno v:
Frontiers in Human Neuroscience, Vol 18 (2024)
Although brain-computer interface (BCI) is considered a revolutionary advancement in human-computer interaction and has achieved significant progress, a considerable gap remains between the current technological capabilities and their practical appli
Externí odkaz:
https://doaj.org/article/a1fdb5f854fa4910bbdd37c7ef40e0c0
Publikováno v:
Frontiers in Human Neuroscience, Vol 18 (2024)
Brain-computer interface (BCI) is a revolutionizing human-computer interaction, which has potential applications for specific individuals or groups in specific scenarios. Extensive research has been conducted on the principles and implementation meth
Externí odkaz:
https://doaj.org/article/953c201bf2754320b372a6cb942509de
Publikováno v:
Frontiers in Neuroscience, Vol 17 (2024)
Brain signal patterns generated in the central nervous system of brain-computer interface (BCI) users are closely related to BCI paradigms and neural coding. In BCI systems, BCI paradigms and neural coding are critical elements for BCI research. Howe
Externí odkaz:
https://doaj.org/article/4e59ca2cee3d40e4ae9c5bcac925203e
Publikováno v:
Brain Sciences, Vol 14, Iss 4, p 326 (2024)
Similar to traditional imaging, virtual reality (VR) imagery encompasses nonstereoscopic (VR-2D) and stereoscopic (VR-3D) modes. Currently, Russell’s emotional model has been extensively studied in traditional 2D and VR-3D modes, but there is limit
Externí odkaz:
https://doaj.org/article/63f77a4d183f485ebad1fb528a3d1de4
Publikováno v:
Brain Sciences, Vol 14, Iss 3, p 268 (2024)
Objectives: The temporal and spatial information of electroencephalogram (EEG) signals is crucial for recognizing features in emotion classification models, but it excessively relies on manual feature extraction. The transformer model has the capabil
Externí odkaz:
https://doaj.org/article/630276896c4646f5ace081f7a3687a15
Publikováno v:
Brain Sciences, Vol 13, Iss 12, p 1702 (2023)
Light and noise are important factors affecting shooting performance, and shooters can exhibit physiological processes that differ from normal shooting when they are subjected to disturbed visual and auditory conditions. The purpose of this study was
Externí odkaz:
https://doaj.org/article/0e93830dfcc44a9598e212bdd09a0c6c
Publikováno v:
Frontiers in Human Neuroscience, Vol 16 (2022)
As an important component to promote the development of affective brain–computer interfaces, the study of emotion recognition based on electroencephalography (EEG) has encountered a difficult challenge; the distribution of EEG data changes among di
Externí odkaz:
https://doaj.org/article/b264948b26114a14b7d2c9dc2e4dacfd
Publikováno v:
Brain Sciences, Vol 13, Iss 5, p 710 (2023)
The steady-state visually evoked potential (SSVEP) is an important type of BCI that has various potential applications, including in virtual environments using virtual reality (VR). However, compared to VR research, the majority of visual stimuli use
Externí odkaz:
https://doaj.org/article/1bdfea70583e48eead8d2dcada7263ae