Geometric Features for Improving Continuous Appearance-based Sign Language Recognition
Morteza Zahedi, Philippe Dreuw, David Rybach, Thomas Deselaers, Hermann Ney · 2006
In this paper we present an appearance-based sign language recognition system which uses a weighted combination of different features in the statistical framework of a large vocabulary speech recognition system. The performance of the approach is systematically evaluated and it is shown that a significant improvement can be gained over a baseline system when appropriate features are suitably combined. In particular, the word error rate is improved from 50 % for the baseline system to 30 % for the optimized system. 1