Questioning Domain Adaptation in Myoelectric Hand Prostheses Control: An Inter- and Intra-Subject Study
One major challenge limiting the use of dexterous robotic hand prostheses controlled via electromyography and pattern recognition relates to the important efforts required to train complex models from scratch. To overcome this problem, several studies in recent years proposed to use transfer learnin...
Enregistré dans:
Auteurs principaux: | Giulio Marano, Cristina Brambilla, Robert Mihai Mira, Alessandro Scano, Henning Müller, Manfredo Atzori |
---|---|
Format: | article |
Langue: | EN |
Publié: |
MDPI AG
2021
|
Sujets: | |
Accès en ligne: | https://doaj.org/article/391934e93c1140679dfb0f541308f874 |
Tags: |
Ajouter un tag
Pas de tags, Soyez le premier à ajouter un tag!
|
Documents similaires
-
Myoelectric control of prosthetic hands: state-of-the-art review
par: Geethanjali P
Publié: (2016) -
Combined Use of EMG and EEG Techniques for Neuromotor Assessment in Rehabilitative Applications: A Systematic Review
par: Cristina Brambilla, et autres
Publié: (2021) -
Editorial: Neural Prostheses for Locomotion
par: Yury Ivanenko, et autres
Publié: (2021) -
Integrating Multiple Datasets and Machine Learning Algorithms for Satellite-Based Bathymetry in Seaports
par: Zhongqiang Wu, et autres
Publié: (2021) -
End-to-End Estimation of Hand- and Wrist Forces From Raw Intramuscular EMG Signals Using LSTM Networks
par: Alexander E. Olsson, et autres
Publié: (2021)