Please use this identifier to cite or link to this item: https://ktisis.cut.ac.cy/handle/10488/12560
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 
Keywords: Gesture recognition;Image recognition;Learning;Mobile application;Sign language
Category: Computer and Information Sciences
Field: Natural Sciences
Issue Date: 30-Oct-2017
Publisher: Association for Computing Machinery
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: http://ktisis.cut.ac.cy/handle/10488/12560
Rights: © 2017 Association for Computing Machinery.
Type: Conference Papers
Appears in Collections:Δημοσιεύσεις σε συνέδρια/Conference papers

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