Cargando…
Implementation of a Surface Electromyography-Based Upper Extremity Exoskeleton Controller Using Learning from Demonstration
Upper-extremity exoskeletons have demonstrated potential as augmentative, assistive, and rehabilitative devices. Typical control of upper-extremity exoskeletons have relied on switches, force/torque sensors, and surface electromyography (sEMG), but these systems are usually reactionary, and/or rely...
Autores principales: | Siu, Ho Chit, Arenas, Ana M., Sun, Tingxiao, Stirling, Leia A. |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2018
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5856190/ https://www.ncbi.nlm.nih.gov/pubmed/29401754 http://dx.doi.org/10.3390/s18020467 |
Ejemplares similares
-
Classification of Anticipatory Signals for Grasp and Release from Surface Electromyography
por: Siu, Ho Chit, et al.
Publicado: (2016) -
Learning by Demonstration for Motion Planning of Upper-Limb Exoskeletons
por: Lauretti, Clemente, et al.
Publicado: (2018) -
Electromyography Assessment of the Assistance Provided by an Upper-Limb Exoskeleton in Maintenance Tasks
por: Blanco, Andrea, et al.
Publicado: (2019) -
Ankle exoskeleton torque controllers based on soleus muscle models
por: Pridham, Paul S., et al.
Publicado: (2023) -
Upper extremity surface electromyography signal changes after laparoscopic training
por: Nowakowski, Michal M., et al.
Publicado: (2018)