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SBIA
2004
Springer
13 years 9 months ago
An Experiment on Handshape Sign Recognition Using Adaptive Technology: Preliminary Results
This paper presents an overview of current work on the recognition of sign language and a prototype of a simple editor for a small subset of the Brazilian Sign Language, LIBRAS. Ha...
Hemerson Pistori, João José Neto
GW
2009
Springer
156views Biometrics» more  GW 2009»
13 years 1 months ago
Influence of Handshape Information on Automatic Sign Language Recognition
Research on automatic sign language recognition (ASLR) has mostly been conducted from a machine learning perspective. We propose to implement results from human sign recognition st...
Gineke A. ten Holt, Marcel J. T. Reinders, Emile A...
CHI
2002
ACM
14 years 4 months ago
Out of many, one: reliable results from unreliable recognition
Recognition technologies such as speech recognition and optical recognition are still, by themselves. not reliable enough for many practical uses in user interfaces However, by co...
Henry Lieberman
ISWC
2003
IEEE
13 years 9 months ago
Using Multiple Sensors for Mobile Sign Language Recognition
We build upon a constrained, lab-based Sign Language recognition system with the goal of making it a mobile assistive technology. We examine using multiple sensors for disambiguat...
Helene Brashear, Thad Starner, Paul Lukowicz, Holg...
ASSETS
2006
ACM
13 years 9 months ago
American sign language recognition in game development for deaf children
CopyCat is an American Sign Language (ASL) game, which uses gesture recognition technology to help young deaf children practice ASL skills. We describe a brief history of the game...
Helene Brashear, Valerie L. Henderson, Kwang-Hyun ...