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Using Accessible Motion Capture in Educational Games for Sign Language Learning

A new publication will be presented at the EC-TEL conference in 2023 in Aveiro, Portugal. 

"Using Accessible Motion Capture in Educational Games for Sign Language Learning"

https://link.springer.com/chapter/10.1007/978-3-031-42682-7_74


Abstract
Various studies show that multimodal interaction technologies, especially motion capture in educational environments, can significantly improve and support educational purposes such as language learning. In this paper, we introduce a prototype that implements finger tracking and teaches the user different letters of the German fingerspelling alphabet. Since most options for tracking a user’s movements rely on hardware that is not commonly available, a particular focus is laid on the opportunities of new technologies based on computer vision. These achieve accurate tracking with consumer webcams. In this study, the motion capture is based on Google MediaPipe. An evaluation based on user feedback shows that the prototype’s capabilities meet the functional requirements. This study corroborates the thesis that new technologies, such as motion-tracking-based software, can make language learning more accessible.

Published by Daniele Di Mitri

Daniele Di Mitri is a professor of Multimodal Learning Technologies at the German University of Digital Science. At the German UDS, he leads the research group "Augmented Feedback" and coordinates the master's in Advanced Digital Realities.  He is an associated researcher at the DIPF - Leibniz Institute for Research and Information in Education and a lecturer at the Goethe University of Frankfurt, Germany. Daniele Di Mitri received his PhD in Learning Analytics and Wearable Sensor Support from the Open University of the Netherlands. His current research focuses on developing AI-driven, multimodal learning technologies to enhance digital education. It aims to create innovative, responsible solutions that improve learning experiences through advanced feedback systems and ethical integration of technology. He is a "Johanna Quandt Young Academy" fellow and was elected "AI Newcomer 2021" at the KI Camp by the German Informatics Society. He is a member of the CrossMMLA, a special interest group of the Society for Learning Analytics Research, and the chair of the special interest group on AI for Education of the European Association for Technology-Enhanced Learning.

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