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» Product-HMMs for automatic sign language recognition
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HCI
2001
13 years 7 months ago
Analysis of haptic data for sign language recognition
: For the past two years we have been addressing the challenges involved in managing the data generated within immersive environments. We together with many other researchers have ...
Cyrus Shahabi, Leila Kaghazian, Soham Mehta, Amol ...
ICPR
2006
IEEE
14 years 6 months ago
Detecting Coarticulation in Sign Language using Conditional Random Fields
Coarticulation is one of the important factors that makes automatic sign language recognition a hard problem. Unlike in speech recognition, coarticulation effects in sign language...
Ruiduo Yang, Sudeep Sarkar
CVPR
2009
IEEE
14 years 11 months ago
Learning Signs from Subtitles: A Weakly Supervised Approach to Sign Language Recognition
This paper introduces a fully-automated, unsupervised method to recognise sign from subtitles. It does this by using data mining to align correspondences in sections of videos. Bas...
Helen Cooper, Richard Bowden
FGR
2008
IEEE
144views Biometrics» more  FGR 2008»
14 years 7 days 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...
GW
2007
Springer
135views Biometrics» more  GW 2007»
13 years 12 months ago
Enhancing a Sign Language Translation System with Vision-Based Features
Abstract. In automatic sign language translation, one of the main problems is the usage of spatial information in sign language and its proper representation and translation, e.g. ...
Philippe Dreuw, Daniel Stein, Hermann Ney