Please use this identifier to cite or link to this item:
http://hdl.handle.net/10553/73837
Title: | Perspective and evolution of gesture recognition for sign language: a review | Authors: | Galván Ruiz, Jesús Travieso-González, Carlos M. Tejera-Fettmilch, Acaymo Pinan-Roescher, Alejandro Esteban-Hernández, Luis Domínguez Quintana, Luis |
UNESCO Clasification: | 220990 Tratamiento digital. Imágenes | Keywords: | Algorithms EMG Gesture Recognition Gloves Leap Motion, et al |
Issue Date: | 2020 | Journal: | Sensors | Abstract: | This review analyses the different gesture recognition systems through a timeline, showing the different types of technology, and specifying which are the most important features and their achieved recognition rates. At the end of the review, Leap Motion sensor possibilities are described in detail, in order to consider its application on the field of sign language. This device has many positive characteristics that make it a good option for sign language. One of the most important conclusions is the ability of the Leap Motion sensor to provide 3D information from the hands for due identification. | URI: | http://hdl.handle.net/10553/73837 | ISSN: | 1424-8220 | DOI: | 10.3390/s20123571 | Source: | Sensors (Switzerland) [ISSN 1424-8220], v. 20 (12), 3571, (Junio 2020) |
Appears in Collections: | Artículos |
SCOPUSTM
Citations
26
checked on Nov 17, 2024
WEB OF SCIENCETM
Citations
22
checked on Nov 17, 2024
Page view(s)
79
checked on Jan 27, 2024
Download(s)
90
checked on Jan 27, 2024
Google ScholarTM
Check
Altmetric
Share
Export metadata
Items in accedaCRIS are protected by copyright, with all rights reserved, unless otherwise indicated.