自动手语识别:一项研究

Adil Er-Rady, R. Faizi, R. Thami, H. Housni
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引用次数: 21

摘要

手语是一种完全视觉化的语言,有自己的语法,与口语有很大的不同[21]。经过近30年的研究,与自动语音识别相比,语音识别仍处于起步阶段。在产生手语(SL)时,涉及到身体的不同部位。最重要的是手,还有面部表情和身体动作/姿势。手语识别仍然是手势识别中最具挑战性的问题之一。在这个调查中,我们将讨论过去十年来手语识别的进展。在本文中,我们提供了最先进的构建模块的自动手语识别(ASLR)系统的回顾,从特征提取到签名。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Automatic sign language recognition: A survey
Sign Language, which is a fully visual language with its own grammar, differs largely from that of spoken languages [21]. After nearly 30 years of research, SL recognition still in its infancy when compared to Automatic Speech Recognition. When producing Sign language (SL), different body parts are involved. Most importantly the hands, but also facial expressions and body movements/postures. The recognition of SL is still one of the most challenging problems in gesture recognition. In this survey, we are going to discuss the advancement of sign language recognition through the last decade. In this paper, we provide a review of the state-of-the-art building blocks of Automatic Sign Language Recognition (ASLR) system, from feature extraction up to sign.
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