Cargando…
Comparing classification techniques for identification of grasped objects
BACKGROUND: This work presents a comparison and selection of different machine learning classification techniques applied in the identification of objects using data collected by an instrumented glove during a grasp process. The selected classifiers techniques can be applied to e-rehabilitation and...
Autores principales: | Nogueira, Daniel, Abreu, Paulo, Restivo, Maria Teresa |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2019
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6407276/ https://www.ncbi.nlm.nih.gov/pubmed/30845959 http://dx.doi.org/10.1186/s12938-019-0639-0 |
Ejemplares similares
-
Grasping trapezoidal objects
por: Kleinholdermann, Urs, et al.
Publicado: (2007) -
Grasping and hitting moving objects
por: Schot, Willemijn D., et al.
Publicado: (2011) -
Evaluation of feature projection techniques in object grasp classification using electromyogram signals from different limb positions
por: Thiamchoo, Nantarika, et al.
Publicado: (2022) -
Grasp to See—Object Classification Using Flexion Glove with Support Vector Machine
por: Yu, Shun-Hsin, et al.
Publicado: (2021) -
Grasping Objects with Environmentally Induced Position Uncertainty
por: Christopoulos, Vassilios N., et al.
Publicado: (2009)