Zobrazeno 1 - 10
of 47
pro vyhledávání: '"Jingsheng Tang"'
Publikováno v:
Brain-Apparatus Communication, Vol 3, Iss 1 (2024)
AbstractAim This article introduces the giant magneto-impedance-based MEG detection technique to facilitate and inspire researchers wishing to engage in related studies.Methods We take non-invasive brain-computer interface (BCI) as the application ba
Externí odkaz:
https://doaj.org/article/f77aace9ab9243768d0a0263df690076
Publikováno v:
IEEE Transactions on Neural Systems and Rehabilitation Engineering, Vol 32, Pp 865-874 (2024)
Autism spectrum disorder (ASD) one of the fastest-growing diseases in the world is a group of neurodevelopmental disorders. Eye movement as a biomarker and clinical manifestation represents unconscious brain processes that can objectively disclose ab
Externí odkaz:
https://doaj.org/article/b72e748285a4494c8dbb73324233b98e
Publikováno v:
IEEE Transactions on Neural Systems and Rehabilitation Engineering, Vol 32, Pp 638-651 (2024)
Electroencephalography (EEG) datasets are characterized by low signal-to-noise signals and unquantifiable noisy labels, which hinder the classification performance in rapid serial visual presentation (RSVP) tasks. Previous approaches primarily relied
Externí odkaz:
https://doaj.org/article/00b003b031a94b3db5f243d1681e5d3a
Publikováno v:
BioMedical Engineering OnLine, Vol 21, Iss 1, Pp 1-20 (2022)
Abstract Background Brain-controlled wheelchairs (BCWs) are important applications of brain–computer interfaces (BCIs). Currently, most BCWs are semiautomatic. When users want to reach a target of interest in their immediate environment, this semia
Externí odkaz:
https://doaj.org/article/fb624e580eb547a1a40d7089e8b0ba6b
Publikováno v:
Virtual Reality & Intelligent Hardware, Vol 4, Iss 1, Pp 38-54 (2022)
Background: Compared with traditional biomagnetic field detection devices, such as superconducting quantum interference devices (SQUIDs) and atomic magnetometers, only giant magnetoimpedance (GMI) sensors can be applied for unshielded human brain bio
Externí odkaz:
https://doaj.org/article/9530871e42254dad9328bfdf9a2d26b6
Autor:
Xin Chen, Yang Yu, Jingsheng Tang, Liang Zhou, Kaixuan Liu, Ziyuan Liu, Siming Chen, Jian Wang, Ling-Li Zeng, Jinfang Liu, Dewen Hu
Publikováno v:
IEEE Transactions on Neural Systems and Rehabilitation Engineering, Vol 30, Pp 579-589 (2022)
Brain-controlled wheelchairs are one of the most promising applications that can help people gain mobility after their normal interaction pathways have been compromised by neuromuscular diseases. The feasibility of using brain signals to control whee
Externí odkaz:
https://doaj.org/article/0e50657a6525433fb073fadfae444727
Publikováno v:
Frontiers in Neurorobotics, Vol 17 (2023)
Reinforcement learning (RL) empowers the agent to learn robotic manipulation skills autonomously. Compared with traditional single-goal RL, semantic-goal-conditioned RL expands the agent capacity to accomplish multiple semantic manipulation instructi
Externí odkaz:
https://doaj.org/article/2740fd0e6bf84602b25a82f3e6d986a9
Publikováno v:
BioMedical Engineering OnLine, Vol 17, Iss 1, Pp 1-22 (2018)
Abstract Background Electroencephalogram-based brain–computer interfaces (BCIs) represent novel human machine interactive technology that allows people to communicate and interact with the external world without relying on their peripheral muscles
Externí odkaz:
https://doaj.org/article/2a189d917d4d449b98cc94dd3419f520
Publikováno v:
Neurocomputing. 525:76-87
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8acc449915ffb62493f6056f835dd591
https://doi.org/10.1016/j.neucom.2023.01.016
https://doi.org/10.1016/j.neucom.2023.01.016
Publikováno v:
Proceedings of 2022 International Conference on Autonomous Unmanned Systems (ICAUS 2022) ISBN: 9789819904785
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9cfe54c707b59b69d138827682a6fe7e
https://doi.org/10.1007/978-981-99-0479-2_39
https://doi.org/10.1007/978-981-99-0479-2_39
