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 ORCID: https://orcid.org/0000-0003-0531-6760, 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:	23 Oct 2022 12:46
URI:	https://orca.cardiff.ac.uk/id/eprint/108625

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