Cargando…
Enhanced Performance for Multi-Forearm Movement Decoding Using Hybrid IMU–sEMG Interface
Control of active prosthetic hands using surface electromyography (sEMG) signals is an active research area; despite the advances in sEMG pattern recognition and classification techniques, none of the commercially available prosthetic hands provide the user with an intuitive control. One of the majo...
Autores principales: | Shahzad, Waseem, Ayaz, Yasar, Khan, Muhammad Jawad, Naseer, Noman, Khan, Mushtaq |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2019
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6617522/ https://www.ncbi.nlm.nih.gov/pubmed/31333441 http://dx.doi.org/10.3389/fnbot.2019.00043 |
Ejemplares similares
-
Design and Assessment of Control Maps for Multi-Channel sEMG-Driven Prostheses and Supernumerary Limbs
por: Maimeri, Michele, et al.
Publicado: (2019) -
Integrating computer vision to prosthetic hand control with sEMG: Preliminary results in grasp classification
por: Wang, Shuo, et al.
Publicado: (2022) -
Assisting Forearm Function in Children With Movement Disorders via A Soft Wearable Robot With Equilibrium-Point Control
por: Realmuto, Jonathan, et al.
Publicado: (2022) -
Calib-Net: Calibrating the Low-Cost IMU via Deep Convolutional Neural Network
por: Li , Ruihao, et al.
Publicado: (2022) -
On the precision of 6 DoF IMU-LiDAR based localization in GNSS-denied scenarios
por: Frosi, Matteo, et al.
Publicado: (2023)