文章基本信息

标题：Recognition of ASL for Human-robot Interaction
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作者：Md. Al-Amin Bhuiyan
期刊名称：International Journal of Computer Science and Network Security
印刷版ISSN：1738-7906
出版年度：2017
卷号：17
期号：7
页码：66-71
出版社：International Journal of Computer Science and Network Security
摘要：This article addresses on the development of a framework of American Sign Language for human-robot interaction. The approach is based on the computer vision strategies and intelligent task scheduling for an entertainment robot. The system is organized with the identification of signs in American Sign Language (ASL) using adaptive resonance theory neural network. Experimental results indicate that the method is capable of identifying the ASL signs with an accuracy of more than 90% under different illumination conditions.
关键词：American Sign Language; Histogram equalization; Human-robot interaction; Aibo; ART Neural network; Skin color segmentation