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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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Библиографические подробности
Опубликовано в: :Sensors (Basel)
Главные авторы: Saggio, Giovanni, Cavallo, Pietro, Ricci, Mariachiara, Errico, Vito, Zea, Jonathan, Benalcázar, Marco E.
Формат: Artigo
Язык:Inglês
Опубликовано: MDPI 2020
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Online-ссылка:https://ncbi.nlm.nih.gov/pmc/articles/PMC7411686/
https://ncbi.nlm.nih.gov/pubmed/32664586
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3390/s20143879
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