Zobrazeno 1 - 10
of 18
pro vyhledávání: '"Peiliang Gong"'
Publikováno v:
IEEE Transactions on Neural Systems and Rehabilitation Engineering, Vol 32, Pp 2324-2335 (2024)
Electroencephalogram (EEG) signals are widely utilized in the field of cognitive workload decoding (CWD). However, when the recognition scenario is shifted from subject-dependent to subject-independent or spans a long period, the accuracy of CWD dete
Externí odkaz:
https://doaj.org/article/eb02ed00c3934afdbdfd6eb865aeae89
Publikováno v:
IEEE Transactions on Neural Systems and Rehabilitation Engineering, Vol 31, Pp 2349-2358 (2023)
Brain computer interface (BCI) is a system that directly uses brain neural activities to communicate with the outside world. Recently, the decoding of the human upper limb based on electroencephalogram (EEG) signals has become an important research b
Externí odkaz:
https://doaj.org/article/a7f56704f7184876b5c8275d7aca8744
Publikováno v:
IEEE Transactions on Neural Systems and Rehabilitation Engineering, Vol 31, Pp 1440-1450 (2023)
Electroencephalography (EEG) signals classification is essential for the brain-computer interface (BCI). Recently, energy-efficient spiking neural networks (SNNs) have shown great potential in EEG analysis due to their ability to capture the complex
Externí odkaz:
https://doaj.org/article/cd823220eb71414dbdbb744c690a7a80
Publikováno v:
IEEE Transactions on Neural Systems and Rehabilitation Engineering, Vol 31, Pp 1008-1018 (2023)
Sleep staging is a vital process for evaluating sleep quality and diagnosing sleep-related diseases. Most of the existing automatic sleep staging methods focus on time-domain information and often ignore the transformation relationship between sleep
Externí odkaz:
https://doaj.org/article/a4e4a0e6e7344b4fb4bb3c956b5abdd9
Autor:
Pengpai Wang, Xuhao Cao, Yueying Zhou, Peiliang Gong, Muhammad Yousefnezhad, Wei Shao, Daoqiang Zhang
Publikováno v:
Frontiers in Neuroscience, Vol 17 (2023)
The advance in neuroscience and computer technology over the past decades have made brain-computer interface (BCI) a most promising area of neurorehabilitation and neurophysiology research. Limb motion decoding has gradually become a hot topic in the
Externí odkaz:
https://doaj.org/article/6d7408c1e64d423b9484a38e2dc0fb6f
Autor:
Peiliang Gong, Lihua Ai
Publikováno v:
IEEE Access, Vol 7, Pp 170578-170588 (2019)
Recently, graph convolutional neural network as an efficient and effective method has experienced significant attention and becomes the de facto method for learning node or graph representations. However, existing most methods use a fixed-order neigh
Externí odkaz:
https://doaj.org/article/91e2c56cfb82480d8c1855e1a635cfb2
Publikováno v:
Discrete Dynamics in Nature and Society, Vol 2020 (2020)
The reaction diffusion system is one of the important models to describe the objective world. It is of great guiding importance for people to understand the real world by studying the Turing patterns of the reaction diffusion system changing with the
Externí odkaz:
https://doaj.org/article/efc1a01645e84867b01ede7d4422b0b6
Publikováno v:
IEEE Transactions on Instrumentation and Measurement. 72:1-12
Publikováno v:
Discrete Dynamics in Nature and Society, Vol 2020 (2020)
The reaction diffusion system is one of the important models to describe the objective world. It is of great guiding importance for people to understand the real world by studying the Turing patterns of the reaction diffusion system changing with the
Autor:
Peiliang Gong, Donglai Zhang
Publikováno v:
RVSP
Visual odometry is an effective method to localize the mobile robotic vehicles. This paper presents GLS and RMKF based visual odometry for a UUV platform, to realize local-area localization or navigation, and a certain underwater experimental results