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|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.
|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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