Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Bonnie Guan"'
Publikováno v:
IEEE Access, Vol 11, Pp 104142-104154 (2023)
Over the last decade several machine learning (ML) based data-driven approaches have been used for Electromyography (EMG) based control of prosthetic hands. However, the performance of EMG-based frameworks can be affected by: i) the onset of fatigue
Externí odkaz:
https://doaj.org/article/c224286ebcf4416d9d2f885177d58fe9
Autor:
Mojtaba Shahmohammadi, Bonnie Guan, Ricardo V. Godoy, Anany Dwivedi, Poul Nielsen, Minas Liarokapis
Publikováno v:
Scientific Reports, Vol 13, Iss 1, Pp 1-13 (2023)
Abstract Conventional muscle-machine interfaces like Electromyography (EMG), have significant drawbacks, such as crosstalk, a non-linear relationship between the signal and the corresponding motion, and increased signal processing requirements. In th
Externí odkaz:
https://doaj.org/article/5c1617c377eb4c4fbf85133b0eb18306
Publikováno v:
IEEE Access, Vol 10, Pp 99661-99674 (2022)
Electromyography (EMG) signals are commonly used for the development of Muscle Machine Interfaces. EMG-based solutions provide intuitive and often hand-free control in a wide range of applications that range from the decoding of human intention in cl
Externí odkaz:
https://doaj.org/article/a36af54807a1425080cc03a66ea5df10
Publikováno v:
2022 IEEE International Conference on Systems, Man, and Cybernetics (SMC).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::306d69fce6c9715549efbf1587f18283
https://doi.org/10.1109/smc53654.2022.9945582
https://doi.org/10.1109/smc53654.2022.9945582