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» Analysis of haptic data for sign language recognition
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ICMCS
2005
IEEE
185views Multimedia» more  ICMCS 2005»
14 years 29 days ago
Automatic Object Trajectory-Based Motion Recognition Using Gaussian Mixture Models
In this paper, we propose a novel technique for modelbased recognition of complex object motion trajectories using Gaussian Mixture Models (GMM). We build our models on Principal ...
Faisal I. Bashir, Ashfaq A. Khokhar, Dan Schonfeld
FGR
2008
IEEE
144views Biometrics» more  FGR 2008»
14 years 1 months ago
Bi-channel sensor fusion for automatic sign language recognition
In this paper, we investigate the mutual-complementary functionality of accelerometer (ACC) and electromyogram (EMG) for recognizing seven word-level sign vocabularies in German S...
Jonghwa Kim, Johannes Wagner, Matthias Rehm, Elisa...
ICASSP
2010
IEEE
13 years 7 months ago
Model-level data-driven sub-units for signs in videos of continuous Sign Language
We investigate the issue of sign language automatic phonetic subunit modeling, that is completely data driven and without any prior phonetic information. A first step of visual p...
Stavros Theodorakis, Vassilis Pitsikalis, Petros M...
MM
2005
ACM
143views Multimedia» more  MM 2005»
14 years 27 days ago
Hierarchical voting classification scheme for improving visual sign language recognition
As one of the important research areas of multimodal interaction, sign language recognition (SLR) has attracted increasing interest. In SLR, especially on medium or large vocabula...
Liang-Guo Zhang, Xilin Chen, Chunli Wang, Wen Gao
ASSETS
2006
ACM
14 years 1 months ago
American sign language recognition in game development for deaf children
CopyCat is an American Sign Language (ASL) game, which uses gesture recognition technology to help young deaf children practice ASL skills. We describe a brief history of the game...
Helene Brashear, Valerie L. Henderson, Kwang-Hyun ...