Sign Language Recognition System Based on Prediction in Human-Computer Interaction

Abstract

While gesture recognition methods have been employed with success to real word applications, there are yet several issues that requires to be solved for larger Human-Computer Interaction (HCI) applications. one of such issues is the real time sign language recognition. The goal of this paper is to bring the HCI performance nearby the human-human interaction, by modeling a sign language resognition system based on prediction in the context of dialogue between the system (avatar) and the interlocutor, to make a ludic application. The main recognition method include an empirical tracking method which dynamically changed according to each stage of the dialogue. © Springer International Publishing Switzerland 2014.