手语识别系统的最新发展

M. Tolba, A. S. Elons
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引用次数: 30

摘要

当今世界对消除残疾人在交流和为社会和劳动力做出贡献方面面临的障碍越来越感兴趣,手语自动翻译系统非常重要。这些系统可以极大地促进发声社区和非发声社区之间的交流。对于听力受损的人来说,这样的系统可以作为语音识别系统的等同物,用于说话的人以一种更自然的方式与机器互动。很少有研究项目试图开发视觉手语的翻译系统。这些尝试中很少是针对阿拉伯手语的。他们中没有一个成功地开发出可靠的工业产品。这篇综述探讨了这些试验,并提出了明确的建议,以将实验室研究转化为对社区有用的实际产品。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Recent developments in sign language recognition systems
Automated translation systems for sign languages are important in a world that is showing a continuously increasing interest in removing barriers faced by physically challenged individuals in communicating and contributing to the society and the workforce. These systems can greatly facilitate the communication between the vocal and the nonvocal communities. For the hearing-impaired, such systems can serve as the equivalent of speech-recognition systems used by speaking people to interact with machines in a more natural way. Few research projects tried to develop a translation system from and to visual sign language. Very few of these attempts were on Arabic sign language. None of them succeeded to develop a reliable industrial product. This review explores these trials and proposes clear recommendations to convert the lab research to a real product useful to the community.
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