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» Recognizing Sign Language from Brain Imaging
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ICPR
2010
IEEE
10 years 8 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
11 years 2 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
ICMCS
2006
IEEE
111views Multimedia» more  ICMCS 2006»
10 years 7 months ago
Sign Language Recognition from Homography
It is difficult to recognize sign language in different viewpoint. The HMM method is hindered by the difficulty of extracting view invariant features. The general template matchin...
Qi Wang, Xilin Chen, Chunli Wang, Wen Gao
HCI
2001
10 years 2 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 ...
FGR
2008
IEEE
165views Biometrics» more  FGR 2008»
10 years 1 months ago
The significance of facial features for automatic sign language recognition
Although facial features are considered to be essential for humans to understand sign language, no prior research work has yet examined their significance for automatic sign langu...
Ulrich von Agris, Moritz Knorr, Karl-Friedrich Kra...
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