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Presenting and investigating the efficacy of an educational interactive mobile application for British Sign Language using hand gesture detection techniques

Restituyo, Cristian A., Loizides, Fernando, Yang, Shufan, Weir, Kurtis, Worrallo, Adam, Hartley, Thomas, Souleles, Nicos and Loizou, Michael 2017. Presenting and investigating the efficacy of an educational interactive mobile application for British Sign Language using hand gesture detection techniques. Presented at: mLearn 2017: 16th World Conference on Mobile and Contextual Learning, Larnaca, Cyprus, 30 October - 1 November 2017. Proceedings of the 16th World Conference on Mobile and Contextual Learning. New York: ACM, p. 9. 10.1145/3136907.3136945

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Abstract

In this paper we present the design and development of a mobile application that assists learners of British Sign Language. The application uses interaction; namely, image recognition of a participant's gestures to give feedback as to the correctness of the gestures. Through designing with different algorithms and a user test, the efficacy of such an application is presented along with limitations that are present with current technology.

Item Type: Conference or Workshop Item (Paper)
Date Type: Publication
Status: Published
Schools: Computer Science & Informatics
Uncontrolled Keywords: mobile application, sign language, Llarning, image recognition, gesture recognition
Publisher: ACM
ISBN: 9781450352550
Last Modified: 09 Aug 2019 08:10
URI: http://orca.cf.ac.uk/id/eprint/108625

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