Sign Language Recognition Using Wearable Electronics: Implementing k-Nearest Neighbors with Dynamic Time Warping and Convolutional Neural Network Algorithms

We propose a sign language recognition system based on wearable electronics and two different classification algorithms. The wearable electronics were made of a sensory glove and inertial measurement units to gather fingers, wrist, and arm/forearm movements. The classifiers were k-Nearest Neighbors...

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Detalles Bibliográficos
Autores principales: Saggio, Giovanni, Cavallo, Pietro, Ricci, Mariachiara, Errico, Vito, Zea, Jonathan, Benalcázar, Marco E.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7411686/
https://www.ncbi.nlm.nih.gov/pubmed/32664586
http://dx.doi.org/10.3390/s20143879

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7411686/
https://www.ncbi.nlm.nih.gov/pubmed/32664586
http://dx.doi.org/10.3390/s20143879

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