Charayaphan C, Marble A E
Electrical Engineering Department, Technical University of Nova Scotia, Halifax, Canada.
J Biomed Eng. 1992 Sep;14(5):419-25. doi: 10.1016/0141-5425(92)90088-3.
In this paper, an image processing algorithm is presented for the interpretation of the American Sign Language (ASL), which is one of the sign languages used by the majority of the deaf community. The process involves detection of hand motion, tracking the hand location based on the motion and classification of signs using adaptive clustering of stop positions, simple shape of the trajectory, and matching of the hand shape at the stop position.
本文提出了一种用于解读美国手语（ASL）的图像处理算法，美国手语是大多数聋人社区使用的手语之一。该过程包括检测手部动作、基于动作跟踪手部位置以及使用停止位置的自适应聚类、轨迹的简单形状和停止位置处手部形状的匹配对手语进行分类。
