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Recognition of ASL for Human-robot Interaction


Md. Al-Amin Bhuiyan


Vol. 17  No. 7  pp. 66-71


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.


American Sign Language, Histogram equalization, Human-robot interaction, Aibo, ART Neural network, Skin color segmentation