Zobrazeno 1 - 10
of 19
pro vyhledávání: '"Pengjie Qin"'
Autor:
Shuai Wang, Yinuo Yao, Xuwei Lu, Pengjie Qin, Xiangyang Wang, Jianquan Sun, Chunjie Chen, Xinyu Wu
Publikováno v:
Frontiers in Neuroscience, Vol 18 (2024)
Exoskeleton robots have the potential to augment human motor capabilities. however, current control strategies often require task-specific control laws tailored for different scenarios, which limits the applicability of exoskeletons. In this study, w
Externí odkaz:
https://doaj.org/article/10421c07455c408aa8437722eec0e9f0
Publikováno v:
Entropy, Vol 25, Iss 6, p 948 (2023)
Evidence theory is widely used to deal with the fusion of uncertain information, but the fusion of conflicting evidence remains an open question. To solve the problem of conflicting evidence fusion in single target recognition, we proposed a novel ev
Externí odkaz:
https://doaj.org/article/16026daaf8544f3590be019be6c30285
Publikováno v:
IEEE Access, Vol 8, Pp 132882-132892 (2020)
Surface electromyography (sEMG) signals can reflect the body motion information and are widely used in military, medical rehabilitation, industrial production. The lower limb motion classification mainly includes feature extraction and classification
Externí odkaz:
https://doaj.org/article/14795730c1d04bbdbe3838c4fd58f122
Publikováno v:
IEEE Access, Vol 6, Pp 30559-30566 (2018)
For continuous improvement of productivity, accurate, stable, and reliable control of temperature and humidity is important in industrial production. Accurate prediction of air temperature and humidity can improve the predictability and stability of
Externí odkaz:
https://doaj.org/article/f8964d8f89d34250b6bc87840b90d442
Autor:
Pengjie Qin, Xin Shi
Publikováno v:
Entropy, Vol 22, Iss 8, p 852 (2020)
The real-time and accuracy of motion classification plays an essential role for the elderly or frail people in daily activities. This study aims to determine the optimal feature extraction and classification method for the activities of daily living
Externí odkaz:
https://doaj.org/article/2f298dacc71f40f7b0b07e10cb6c1efb
Publikováno v:
IEEE Sensors Journal. 23:8491-8503
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::dcc8b64c8a196f9e400f48be59b50e35
https://doi.org/10.1109/jsen.2023.3240170
https://doi.org/10.1109/jsen.2023.3240170
Publikováno v:
IEEE Transactions on Instrumentation and Measurement. 72:1-16
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c1bc27787bc163151ebbf482044df524
https://doi.org/10.1109/tim.2023.3243612
https://doi.org/10.1109/tim.2023.3243612
Autor:
Pengjie Qin, Xin Shi
Publikováno v:
IEEE Transactions on Instrumentation and Measurement. 70:1-9
Due to the strong dynamic and time-varying characteristics of the surface electromyography (sEMG) signal and the coupling between lower limb muscles, it is challenging to accurately estimate the joint angle of complex lower limb motion. Firstly, we p
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::595bf848ad8371119a0fd87199e2c188
https://doi.org/10.1109/tim.2021.3096789
https://doi.org/10.1109/tim.2021.3096789
Publikováno v:
Mathematical Problems in Engineering, Vol 2020 (2020)
Exoskeleton robot is a typical application to assist the motion of lower limbs. To make the lower extremity exoskeleton more flexible, it is necessary to identify various motion intentions of the lower limbs of the human body. Although more sEMG sens
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6f0142d3faa8d5c9ac5a4b33e1246e59
https://doi.org/10.1155/2020/5684812
https://doi.org/10.1155/2020/5684812
Publikováno v:
IEEE Access, Vol 8, Pp 132882-132892 (2020)
Surface electromyography (sEMG) signals can reflect the body motion information and are widely used in military, medical rehabilitation, industrial production. The lower limb motion classification mainly includes feature extraction and classification
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0bd224518b134a19385bc271def76592
https://ieeexplore.ieee.org/document/9139511/
https://ieeexplore.ieee.org/document/9139511/