Cargando…
Pattern Recognition of EMG Signals by Machine Learning for the Control of a Manipulator Robot
Human Machine Interfaces (HMI) principles are for the development of interfaces for assistance or support systems in physiotherapy or rehabilitation processes. One of the main problems is the degree of customization when applying some rehabilitation therapy or when adapting an assistance system to t...
Autores principales: | Pérez-Reynoso, Francisco, Farrera-Vazquez, Neín, Capetillo, César, Méndez-Lozano, Nestor, González-Gutiérrez, Carlos, López-Neri, Emmanuel |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9102482/ https://www.ncbi.nlm.nih.gov/pubmed/35591114 http://dx.doi.org/10.3390/s22093424 |
Ejemplares similares
-
Eco-Friendly Approach for Graphene Oxide Synthesis by Modified Hummers Method
por: Méndez-Lozano, Néstor, et al.
Publicado: (2022) -
Toward Hand Pattern Recognition in Assistive and Rehabilitation Robotics Using EMG and Kinematics
por: Zhou, Hui, et al.
Publicado: (2021) -
Human-machine interfaces based on EMG and EEG applied to robotic systems
por: Ferreira, Andre, et al.
Publicado: (2008) -
EMG-based pattern recognition approach in post stroke robot-aided rehabilitation: a feasibility study
por: Cesqui, Benedetta, et al.
Publicado: (2013) -
Human–Machine Interface: Multiclass Classification by Machine Learning on 1D EOG Signals for the Control of an Omnidirectional Robot
por: Pérez-Reynoso, Francisco David, et al.
Publicado: (2021)