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.
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Jebali, M., Dalle, P., Jemni, M. (2014). Sign Language Recognition System Based on Prediction in Human-Computer Interaction. In: Stephanidis, C. (eds) HCI International 2014 - Posters’ Extended Abstracts. HCI 2014. Communications in Computer and Information Science, vol 435. Springer, Cham. https://doi.org/10.1007/978-3-319-07854-0_98
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DOI: https://doi.org/10.1007/978-3-319-07854-0_98
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