Zobrazeno 1 - 10
of 388
pro vyhledávání: '"Phinyomark, A."'
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
Publikováno v:
IEEE Access, Vol 11, Pp 137937-137947 (2023)
High-resolution plantar pressure recordings have the potential to be used in gait biometrics, biomechanics, and clinical gait analysis. To accurately assess side-specific patterns and asymmetries, it is essential to differentiate between left and rig
Externí odkaz:
https://doaj.org/article/bb6d946012c74f058a1821494732ca95
Publikováno v:
IEEE Access, Vol 11, Pp 87380-87397 (2023)
Myoelectric control has been used predominantly in the field of prosthetics, but is an increasingly promising hands-free input modality for emerging consumer markets such as mixed reality. Developing robust machine learning-enabled EMG control system
Externí odkaz:
https://doaj.org/article/b28bf29424774dca869bfc011b5ca2d7
Publikováno v:
IEEE Access, Vol 10, Pp 125942-125954 (2022)
Wrist electromyography (EMG) signals have been explored for incorporation into subtle wrist-worn wearable devices for decoding hand gestures. Previous studies have now shown that wrist EMG can even outperform the more commonly used forearm EMG, depen
Externí odkaz:
https://doaj.org/article/a22fb6af7beb4dd3a8dc4dea0cb3a2ec
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:
Ulysse Cote-Allard, Gabriel Gagnon-Turcotte, Angkoon Phinyomark, Kyrre Glette, Erik J. Scheme, Francois Laviolette, Benoit Gosselin
Publikováno v:
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:
https://doaj.org/article/20ea22e42824448c8b160dd934de076b