@inproceedings{d31227d081884651a3ad1fed79b98aa7,
title = "Static gesture quantization and DCT based sign language generation",
abstract = "To collect data for sign language recognition is not a trivial task. The lack of training data has become a bottleneck in the research of singer independence and large vocabulary recognition. A novel sign language generation algorithm is introduced in this paper. The difference between signers is analyzed briefly and a criterion is introduced to distinguish the same gesture words of different signers. Basing on that criterion we propose a sign word generation method combining the static gesture quantization and Discrete Cosine Transform (DCT), which can generate the new signers' sign words according to the existed signers' sign words. The experimental result shows that not only the data generated are distinct with the training data, they are also demonstrated effective.",
author = "Chenxi Zhang and Feng Jiang and Hongxun Yao and Guilin Yao and Wen Gao",
year = "2005",
doi = "10.1007/11573548\_22",
language = "英语",
isbn = "3540296212",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
pages = "168--178",
booktitle = "Affective Computing and Intelligent Interaction - First International Conference, ACII 2005, Proceedings",
address = "德国",
note = "1st International Conference on Affective Computing and Intelligent Interaction, ACII 2005 ; Conference date: 22-10-2005 Through 24-10-2005",
}