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CVPR
2011
IEEE
13 years 1 months ago
Exploiting Phonological Constraints for Handshape Inference in ASL Video
Handshape is a key linguistic component of signs, and thus, handshape recognition is essential to algorithms for sign language recognition and retrieval. In this work, linguistic ...
Ashwin Thangali, Stan Sclaroff, Carol Neidle, Joan...
ICMCS
2006
IEEE
111views Multimedia» more  ICMCS 2006»
14 years 3 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
ICPR
2008
IEEE
14 years 11 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
ICVGIP
2004
13 years 11 months ago
Modeling Signs Using Functional Data Analysis
1 We present a functional data analysis (FDA) based method to statistically model continuous signs of the American Sign Language (ASL) for use in the recognition of signs in contin...
Sunita Nayak, Sudeep Sarkar, Kuntal Sengupta
FGR
2008
IEEE
229views Biometrics» more  FGR 2008»
14 years 4 months ago
Activity detection in conversational sign language video for mobile telecommunication
The goal of the MobileASL project is to increase accessibility by making the mobile telecommunications network available to the signing Deaf community. Video cell phones enable De...
Neva Cherniavsky, Richard E. Ladner, Eve A. Riskin