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ICPR
2008
IEEE
14 years 8 months ago
Automatic generation of HMM topology for sign language recognition
Sign language is used for communicating to people with hearing difficulties. Recogntion of a sign language image sequence is challenging because of the variety of hand shapes and ...
Tadashi Matsuo, Yoshiaki Shirai, Nobutaka Shimada
IBPRIA
2005
Springer
14 years 26 days ago
Appearance-Based Recognition of Words in American Sign Language
In this paper, we present how appearance-based features can be used for the recognition of words in American sign language (ASL) from a video stream. The features are extracted wit...
Morteza Zahedi, Daniel Keysers, Hermann Ney
MVA
2007
114views Computer Vision» more  MVA 2007»
13 years 8 months ago
Sign Language Recognition Using Boosted Volumetric Features
This paper proposes a method for sign language recognition that bypasses the need for tracking by classifying the motion directly. The method uses the natural extension of haar li...
Helen Cooper, Richard Bowden
IBPRIA
2009
Springer
13 years 12 months ago
Smoothed Disparity Maps for Continuous American Sign Language Recognition
For the recognition of continuous sign language we analyse whether we can improve the results by explicitly incorporating depth information. Accurate hand tracking for sign languag...
Philippe Dreuw, Pascal Steingrube, Thomas Deselaer...
ACII
2005
Springer
13 years 9 months ago
Facial Phoneme Extraction for Taiwanese Sign Language Recognition
We have developed a system that recognizes the facial expressions in Taiwanese Sign Language (TSL) using a phoneme-based strategy. A facial expression is decomposed into three faci...
Shi-Hou Lin, Pi-Fuei Hsieh, Chung-Hsien Wu