A hybrid sign language recognition system

Abstract

This work describes an isolated sign language recognition (SLR) system that combines features from a video camera and an instrumented glove. Various combinations of features were tested on American Sign Language (ASL) vocabularies ranging from 10 to 200 words. The most accurate feature vector set included all available camera and glove features.