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» Progress in Automated Computer Recognition of Sign Language
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CVPR
2009
IEEE
16 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
15 years 4 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
16 years 1 months 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
16 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
15 years 4 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