Robust Identification System for Spanish Sign Language Based on Three-Dimensional Frame Information.

Spanish sign language dynamic time warping gesture recognition pattern recognition

Journal

Sensors (Basel, Switzerland)
ISSN: 1424-8220
Titre abrégé: Sensors (Basel)
Pays: Switzerland
ID NLM: 101204366

Informations de publication

Date de publication:
02 Jan 2023
Historique:
received: 06 12 2022
revised: 23 12 2022
accepted: 30 12 2022
entrez: 8 1 2023
pubmed: 9 1 2023
medline: 11 1 2023
Statut: epublish

Résumé

Nowadays, according to the World Health Organization (WHO), of the world's population suffers from a hearing disorder that makes oral communication with other people challenging. At the same time, in an era of technological evolution and digitization, designing tools that could help these people to communicate daily is the base of much scientific research such as that discussed herein. This article describes one of the techniques designed to transcribe Spanish Sign Language (SSL). A Leap Motion volumetric sensor has been used in this research due to its capacity to recognize hand movements in 3 dimensions. In order to carry out this research project, an impaired hearing subject has collaborated in the recording of 176 dynamic words. Finally, for the development of the research, Dynamic Time Warping (DTW) has been used to compare the samples and predict the input with an accuracy of 95.17%.

Identifiants

pubmed: 36617080
pii: s23010481
doi: 10.3390/s23010481
pmc: PMC9824096
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Références

Sensors (Basel). 2018 Oct 19;18(10):
pubmed: 30347776

Auteurs

Jesús Galván-Ruiz (J)

IDeTIC, Universidad de Las Palmas de G.C. (ULPGC), 35017 Las Palmas de Gran Canaria, Spain.

Carlos M Travieso-González (CM)

IDeTIC, Universidad de Las Palmas de G.C. (ULPGC), 35017 Las Palmas de Gran Canaria, Spain.
Signals and Communications Department, Universidad de Las Palmas de G.C. (ULPGC), 35017 Las Palmas de Gran Canaria, Spain.

Alejandro Pinan-Roescher (A)

IDeTIC, Universidad de Las Palmas de G.C. (ULPGC), 35017 Las Palmas de Gran Canaria, Spain.

Jesús B Alonso-Hernández (JB)

IDeTIC, Universidad de Las Palmas de G.C. (ULPGC), 35017 Las Palmas de Gran Canaria, Spain.
Signals and Communications Department, Universidad de Las Palmas de G.C. (ULPGC), 35017 Las Palmas de Gran Canaria, Spain.

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Classifications MeSH