Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Dezhen Xiong"'
Publikováno v:
IEEE Transactions on Neural Systems and Rehabilitation Engineering, Vol 30, Pp 1514-1524 (2022)
How to learn informative representations from Electromyography (EMG) signals is of vital importance for myoelectric control systems. Traditionally, hand-crafted features are extracted from individual EMG channels and combined together for pattern rec
Externí odkaz:
https://doaj.org/article/45ba25073aab49d0bdbe6892a076e49c
Publikováno v:
2022 IEEE International Conference on Robotics and Biomimetics (ROBIO).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e007d6038aa891ef8c2640adadc6cbcd
https://doi.org/10.1109/robio55434.2022.10012002
https://doi.org/10.1109/robio55434.2022.10012002
Publikováno v:
2022 China Automation Congress (CAC).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2a34e20b94e4accfc1e1c8c0f9a26f53
https://doi.org/10.1109/cac57257.2022.10054966
https://doi.org/10.1109/cac57257.2022.10054966
Publikováno v:
IEEE/CAA Journal of Automatica Sinica. 8:512-533
Electromyography (EMG) has already been broadly used in human-machine interaction (HMI) applications. Determining how to decode the information inside EMG signals robustly and accurately is a key problem for which we urgently need a solution. Recentl
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8583b9d65ac03b2d6eedab9ab485b18f
https://doi.org/10.1109/jas.2021.1003865
https://doi.org/10.1109/jas.2021.1003865
Publikováno v:
IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society. 29
Neural information decomposed from electromyography (EMG) signals provides a new path of EMG-based human-machine interface. Instead of the motor unit decomposition-based method, this work presents a novel neural interface for human gait tracking base
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e6a8a01d923b01302bbd5d519697f6b1
https://pubmed.ncbi.nlm.nih.gov/34705651
https://pubmed.ncbi.nlm.nih.gov/34705651
Publikováno v:
2020 Chinese Automation Congress (CAC).
Electromyography (EMG) shows excellent potential for human-machine interaction (HMI) tasks. It reflects the physiological intention of human beings, which contributes to a more intuitive human-machine interface. The sequence of EMG signals acquiring
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f3a8b36289bfc0adf8093eb5bfd57c76
https://doi.org/10.1109/cac51589.2020.9326536
https://doi.org/10.1109/cac51589.2020.9326536
Publikováno v:
EMBC
Gait can reflect human biological status during walking, which can be used for disease detect, identity verification or robot control, etc. Traditionally, gait analysis only classifies a gait cycle into a few discrete stages. In this paper, human gai
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3c0ef97c772f0e4949c3a56d0ea5ed0f
https://doi.org/10.1109/embc44109.2020.9175238
https://doi.org/10.1109/embc44109.2020.9175238