%0 Conference Paper %1 restituyo2017presenting %A Restituyo, Cristian A. %A Loizides, Fernando %A Yang, Shufan %A Weir, Kurtis %A Worrallo, Adam %A Hartley, Thomas %A Souleles, Nicos %A Loizou, Michael %B Proceedings of the 16th World Conference on Mobile and Contextual Learning %C New York, NY, USA %D 2017 %I Association for Computing Machinery (ACM) %K application gesture-recognition image-recognition learning real sign-language %P 9:1-9:8 %R 10.1145/3136907.3136945 %T Presenting and Investigating the Efficacy of an Educational Interactive Mobile Application for British Sign Language Using Hand Gesture Detection Techniques %U https://doi.org/10.1145/3136907.3136945 %X 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. %@ 9781450352550

@inproceedings{restituyo2017presenting, 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.}, added-at = {2019-11-14T06:39:17.000+0100}, address = {New York, NY, USA}, articleno = {Article 9}, author = {Restituyo, Cristian A. and Loizides, Fernando and Yang, Shufan and Weir, Kurtis and Worrallo, Adam and Hartley, Thomas and Souleles, Nicos and Loizou, Michael}, biburl = {https://www.bibsonomy.org/bibtex/2da90c16c9513a42b6c6e1758ddcd74a3/jpmor}, booktitle = {Proceedings of the 16th World Conference on Mobile and Contextual Learning}, doi = {10.1145/3136907.3136945}, interhash = {f2808e9feb6a6debdd9d6ec2a2651870}, intrahash = {da90c16c9513a42b6c6e1758ddcd74a3}, isbn = {9781450352550}, keywords = {application gesture-recognition image-recognition learning real sign-language}, location = {Larnaca, Cyprus}, numpages = {8}, pages = {9:1-9:8}, publisher = {Association for Computing Machinery (ACM)}, school = {University of Wolverhampton}, series = {mLearn 2017}, timestamp = {2020-10-07T13:36:50.000+0200}, title = {Presenting and Investigating the Efficacy of an Educational Interactive Mobile Application for British Sign Language Using Hand Gesture Detection Techniques}, url = {https://doi.org/10.1145/3136907.3136945}, year = 2017 }