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Type: Congresso
Title: Brazilian Sign Language Recognition Using Kinect
Author: Yauri Vidalon
Jose Elias; De Martino
Jose Mario
Abstract: The simultaneous-sequential nature of sign language production, which employs hand gestures and body motions combined with facial expressions, still challenges sign language recognition algorithms. This paper presents a method to recognize Brazilian Sign Language (Libras) using Kinect. Skeleton information is used to segment sign gestures from a continuous stream, while depth information is used to provide distinctive features. The method was assessed in a new data-set of 107 medical signs selected from common dialogues in health-care centers. The dynamic time warping-nearest neighbor (DTW-kNN) classifier using the leave-one-out cross-validation strategy reported outstanding results.
Subject: Sign Language
Isolated Sign Language Recognition
Brazilian Sign Language
Dynamic Time Warping
K-nearest Neighbor
Editor: Springer Int Publishing AG
Rights: fechado
Identifier DOI: 10.1007/978-3-319-48881-3_27
Date Issue: 2016
Appears in Collections:Unicamp - Artigos e Outros Documentos

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