Cargando…
Continuous joint velocity estimation using CNN-based deep learning for multi-DoF prosthetic wrist for activities of daily living
INTRODUCTION: Myoelectric control of prostheses is a long-established technique, using surface electromyography (sEMG) to detect user intention and perform subsequent mechanical actions. Most machine learning models utilized in control systems are trained using isolated movements that do not reflect...
Autores principales: | Meng, Zixia, Kang, Jiyeon |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10512946/ https://www.ncbi.nlm.nih.gov/pubmed/37744085 http://dx.doi.org/10.3389/fnbot.2023.1185052 |
Ejemplares similares
-
A novel framework for designing a multi-DoF prosthetic wrist control using machine learning
por: Swami, Chinmay P., et al.
Publicado: (2021) -
Continuous Multi-DoF Wrist Kinematics Estimation Based on a Human–Machine Interface With Electrical-Impedance-Tomography
por: Zheng, Enhao, et al.
Publicado: (2021) -
SynPo-Net—Accurate and Fast CNN-Based 6DoF Object Pose Estimation Using Synthetic Training
por: Su, Yongzhi, et al.
Publicado: (2021) -
A Multi-DoF Prosthetic Hand Finger Joint Controller for Wearable sEMG Sensors by Nonlinear Autoregressive Exogenous Model
por: Gao, Zhaolong, et al.
Publicado: (2021) -
Robust 6-DoF Pose Estimation under Hybrid Constraints
por: Ren, Hong, et al.
Publicado: (2022)