Cargando…
A real-time gesture recognition system using near-infrared imagery
Visual hand gesture recognition systems are promising technologies for Human Computer Interaction, as they allow a more immersive and intuitive interaction. Most of these systems are based on the analysis of skeleton information, which is in turn inferred from color, depth, or near-infrared imagery....
Autores principales: | Mantecón, Tomás, del-Blanco, Carlos R., Jaureguizar, Fernando, García, Narciso |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2019
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6776328/ https://www.ncbi.nlm.nih.gov/pubmed/31581266 http://dx.doi.org/10.1371/journal.pone.0223320 |
Ejemplares similares
-
Real-Time Monocular Skeleton-Based Hand Gesture Recognition Using 3D-Jointsformer
por: Zhong, Enmin, et al.
Publicado: (2023) -
Foreground Segmentation in Depth Imagery Using Depth and Spatial Dynamic Models for Video Surveillance Applications
por: del-Blanco, Carlos R., et al.
Publicado: (2014) -
Improving Real-Time Hand Gesture Recognition with Semantic Segmentation
por: Benitez-Garcia, Gibran, et al.
Publicado: (2021) -
Real-Time Hand Gesture Recognition Using Finger Segmentation
por: Chen, Zhi-hua, et al.
Publicado: (2014) -
Neurofeedback Using Real-Time Near-Infrared Spectroscopy Enhances Motor Imagery Related Cortical Activation
por: Mihara, Masahito, et al.
Publicado: (2012)