论文标题
ASL-SKETERTON3D和ASL-PHONO：两个用于美国手语的新颖数据集
ASL-Skeleton3D and ASL-Phono: Two Novel Datasets for the American Sign Language
论文作者
论文摘要
手语是一种必不可少的资源，可以为患有失去听力损失的个人提供沟通和适当的社会情感发展。由于预计到2050年，该人群将达到7亿，因此该语言的重要性变得更加重要，因为它在确保将这些人纳入社会中起着至关重要的作用。手语识别字段旨在弥合用户和非用户之间的差距。但是，数据集的数量和质量的稀缺性是限制探索新方法的主要挑战之一，这些方法可能会导致该研究领域的重大进步。因此，本文通过引入两个针对美国手语的新数据集做出了贡献：第一种由签名者的三维表示组成，第二个是由一个前所未有的基于语言学的表示，其中包含一组符号的语音属性。
Sign language is an essential resource enabling access to communication and proper socioemotional development for individuals suffering from disabling hearing loss. As this population is expected to reach 700 million by 2050, the importance of the language becomes even more essential as it plays a critical role to ensure the inclusion of such individuals in society. The Sign Language Recognition field aims to bridge the gap between users and non-users of sign languages. However, the scarcity in quantity and quality of datasets is one of the main challenges limiting the exploration of novel approaches that could lead to significant advancements in this research area. Thus, this paper contributes by introducing two new datasets for the American Sign Language: the first is composed of the three-dimensional representation of the signers and, the second, by an unprecedented linguistics-based representation containing a set of phonological attributes of the signs.
