Zobrazeno 1 - 9
of 9
pro vyhledávání: '"Nuwan Gamage"'
Autor:
Rini Akmeliawati, Donald Bailey, Sara Bilal, Serge Demidenko, Nuwan Gamage, Shujjat Khan, Ye Chow Kuang, Melanie Ooi, Gourab Sen Gupta
Publikováno v:
The Journal of Engineering (2014)
This study proposes an automatic sign language translator, which is developed as assistive technology to help the hearing/speech impaired communities to communicate with the rest of the world. The system architecture, which includes feature extractio
Externí odkaz:
https://doaj.org/article/8fddac2dd0fd4022b76d2c9581a8aa5a
Autor:
Niranjan Dodantenna, Lakmal Ranathunga, W. A. Gayan Chathuranga, Asela Weerawardhana, Ji-Won Cha, Ashan Subasinghe, Nuwan Gamage, D. K. Haluwana, YongKwan Kim, WeonHwa Jheong, Haryoung Poo, Jong-Soo Lee
Publikováno v:
Journal of Virology. 96
African swine fever virus (ASFV) is a highly pathogenic swine DNA virus with high mortality that causes African swine fever (ASF) in domestic pigs and wild boars. For efficient viral infection, ASFV has developed complex strategies to evade key compo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6d43078cf2944b4559af95b13ec1bd74
https://doi.org/10.1128/jvi.01022-22
https://doi.org/10.1128/jvi.01022-22
Autor:
Sara Mohammed Osman Saleh Bilal, Ye Chow Kuang, Donald G. Bailey, Serge Demidenko, G. Sen Gupta, Nuwan Gamage, Melanie Po-Leen Ooi, Shujjat Khan, Rini Akmeliawati
Publikováno v:
HAVE
Machine-based interpretations of sign language hand postures and gestures have long been a specialized research topic in human-computer interaction. Involvement of human subjects and multi-faceted nature of the problem requiring expertise in a multit
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::662e8da93b5ebe77014c7831d0595a3f
https://doi.org/10.1109/have.2019.8921358
https://doi.org/10.1109/have.2019.8921358
Publikováno v:
Pattern Recognition Letters. 32:2009-2014
Classifying human hand gestures in the context of a Sign Language has been historically dominated by Artificial Neural Networks and Hidden Markov Model with varying degrees of success. The main objective of this paper is to introduce Gaussian Process
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fd5e1301879efa5383c3524f4ae5f7d4
https://doi.org/10.1016/j.patrec.2011.08.015
https://doi.org/10.1016/j.patrec.2011.08.015
Autor:
Nuwan Gamage, Gourab Sen Gupta, Melanie Po-Leen Ooi, Donald G. Bailey, Rini Akmeliawati, Sara Mohammed Osman Saleh Bilal, Ye Chow Kuang, Shujjat Khan, Serge Demidenko
Publikováno v:
The Journal of Engineering (2014)
This study proposes an automatic sign language translator, which is developed as assistive technology to help the hearing/speech impaired communities to communicate with the rest of the world. The system architecture, which includes feature extractio
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b1b40f67c1856538f7db181315dce5f6
http://digital-library.theiet.org/content/journals/10.1049/joe.2014.0039
http://digital-library.theiet.org/content/journals/10.1049/joe.2014.0039
Publikováno v:
2009 IEEE Intrumentation and Measurement Technology Conference.
Skin colour modelling has been a popular research topic over the years due its possible practical applications. Varying skin tones makes modelling of skin colour as one of the most complex and challenging task. Accuracy and performance of skin detect
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::dc4213c905dfadcee4f96d2d7d42ee23
https://doi.org/10.1109/imtc.2009.5168576
https://doi.org/10.1109/imtc.2009.5168576
Autor:
Ye Chow Kuang, Nuwan Gamage, Abdolhossein Sarrafzadeh, Rini Akmeliawati, Farhad Dadgostar, Chris Messom, G SenGupta, Melanie Po-Leen Ooi, Serge Demidenko
Publikováno v:
2009 IEEE Intrumentation and Measurement Technology Conference.
This paper introduces the gesture and hand posture tracking systems for a prototype real-time New Zealand sign language recognition system. The novelty of this work is in the markerless tracking of 13 gestures plus an unknown gesture category. Curren
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b08c88cd84c335cba4d77fad0ef3245e
https://doi.org/10.1109/imtc.2009.5168637
https://doi.org/10.1109/imtc.2009.5168637
Publikováno v:
ICARA
Shape matching is one of the more significant research topics in the fields of Computer Vision, Pattern Recognition and Machine Learning. Successful shape matching algorithms/ methods has a high potential for a wide variety of practical applications.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::eeb508d3bb08b4b59c3204d1ba5473d6
https://doi.org/10.1109/icara.2000.4803982
https://doi.org/10.1109/icara.2000.4803982