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» Progress in Automated Computer Recognition of Sign Language
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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
HCI
2009
13 years 3 months ago
A Similarity Measure for Vision-Based Sign Recognition
When we encounter an English word that we do not understand, we can look it up in a dictionary. However, when an American Sign Language (ASL) user encounters an unknown sign, looki...
Haijing Wang, Alexandra Stefan, Vassilis Athitsos
ICPR
2010
IEEE
14 years 23 days ago
Recognizing Sign Language from Brain Imaging
The problem of classifying complex motor activities from brain imaging is relatively new territory within the fields of neuroscience and brain-computer interfaces. We report posi...
Nishant Mehta, Thad Starner, Melody Moore Jackson,...
ICPR
2008
IEEE
14 years 7 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
HCI
2009
13 years 3 months ago
Sign Language Recognition: Working with Limited Corpora
The availability of video format sign language corpora limited. This leads to a desire for techniques which do not rely on large, fully-labelled datasets. This paper covers various...
Helen Cooper, Richard Bowden