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https://hdl.handle.net/20.500.14279/12560| Title: | Presenting and investigating the efficacy of an educational interactive mobile application for British Sign Language using hand gesture detection techniques | Authors: | Restituyo, Cristian A. Loizides, Fernando Yang, Shufan Weir, Kurtis Worrallo, Adam Hartley, Thomas Souleles, Nicos Loizou, Michael |
Major Field of Science: | Natural Sciences | Field Category: | Computer and Information Sciences | Keywords: | Gesture recognition;Image recognition;Learning;Mobile application;Sign language | Issue Date: | 30-Oct-2017 | Source: | 16th World Conference on Mobile and Contextual Learning, 2017, Larnaca, Cyprus, 30 October - 01 November | DOI: | https://doi.org/10.1145/3136907.3136945 | 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. | URI: | https://hdl.handle.net/20.500.14279/12560 | Rights: | © 2017 Association for Computing Machinery. | Type: | Conference Papers | Affiliation : | University of Wolverhampton Cyprus University of Technology Coventry University |
Publication Type: | Peer Reviewed |
| Appears in Collections: | Δημοσιεύσεις σε συνέδρια /Conference papers or poster or presentation |
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