Please use this identifier to cite or link to this item:
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 |
CORE Recommender
Items in KTISIS are protected by copyright, with all rights reserved, unless otherwise indicated.