Zobrazeno 1 - 10
of 157
pro vyhledávání: '"Phinyomark, Angkoon"'
Publikováno v:
2020: MEC20
Despite decades of research and development of pattern recognition approaches, the clinical usability of myoelectriccontrolled prostheses is still limited. One of the main issues is the high inter-subject variability that necessitates long and freque
Externí odkaz:
http://arxiv.org/abs/2003.03481
Publikováno v:
2020: MEC20
Recent human computer-interaction (HCI) studies using electromyography (EMG) and inertial measurement units (IMUs) for upper-limb gesture recognition have claimed that inertial measurements alone result in higher classification accuracy than EMG. In
Externí odkaz:
http://arxiv.org/abs/2003.03424
Autor:
Côté-Allard, Ulysse, Gagnon-Turcotte, Gabriel, Phinyomark, Angkoon, Glette, Kyrre, Scheme, Erik, Laviolette, François, Gosselin, Benoit
Publikováno v:
in IEEE Access, vol. 8, pp. 177941-177955, 2020
Surface electromyography (sEMG) provides an intuitive and non-invasive interface from which to control machines. However, preserving the myoelectric control system's performance over multiple days is challenging, due to the transient nature of the si
Externí odkaz:
http://arxiv.org/abs/1912.11037
Autor:
Côté-Allard, Ulysse, Gagnon-Turcotte, Gabriel, Phinyomark, Angkoon, Glette, Kyrre, Scheme, Erik, Laviolette, François, Gosselin, Benoit
Within the field of electromyography-based (EMG) gesture recognition, disparities exist between the offline accuracy reported in the literature and the real-time usability of a classifier. This gap mainly stems from two factors: 1) The absence of a c
Externí odkaz:
http://arxiv.org/abs/1912.09380
Autor:
Côté-Allard, Ulysse, Campbell, Evan, Phinyomark, Angkoon, Laviolette, François, Gosselin, Benoit, Scheme, Erik
Publikováno v:
Frontiers in Bioengineering and Biotechnology, 8, 158 (2020)
The research in myoelectric control systems primarily focuses on extracting discriminative representations from the electromyographic (EMG) signal by designing handcrafted features. Recently, deep learning techniques have been applied to the challeng
Externí odkaz:
http://arxiv.org/abs/1912.00283
Autor:
Khushaba, Rami N., Scheme, Erik, Al-Timemy, Ali H., Phinyomark, Angkoon, Taee, Ahmed Al, Al-Jumaily, Adel
Publikováno v:
In Expert Systems With Applications 15 September 2021 178
Autor:
Ibáñez-Marcelo, Esther, Campioni, Lisa, Phinyomark, Angkoon, Petri, Giovanni, Santarcangelo, Enrica L.
Publikováno v:
In NeuroImage 15 October 2019 200:437-449
Publikováno v:
In Journal of Sport and Health Science May 2019 8(3):249-257
Publikováno v:
Journal of Computing, Volume 1, Issue 1, pp 71-80, December 2009
Varieties of noises are major problem in recognition of Electromyography (EMG) signal. Hence, methods to remove noise become most significant in EMG signal analysis. White Gaussian noise (WGN) is used to represent interference in this paper. Generall
Externí odkaz:
http://arxiv.org/abs/0912.3973
Publikováno v:
In Journal of Biomechanics 8 December 2016 49(16):3977-3982