RETRACTED ARTICLE: Machine learning based sign language recognition: a review and its research frontier
R Elakkiya - Journal of Ambient Intelligence and Humanized …, 2021 - Springer
In the recent past, research in the field of automatic sign language recognition using
machine learning methods have demonstrated remarkable success and made momentous …
machine learning methods have demonstrated remarkable success and made momentous …
Recognition of Urdu sign language: a systematic review of the machine learning classification
H Zahid, M Rashid, S Hussain, F Azim, SA Syed… - PeerJ Computer …, 2022 - peerj.com
Materials and methods All the studies have been extracted from databases, ie, PubMed,
IEEE, Science Direct, and Google Scholar, using a structured set of keywords. Each study …
IEEE, Science Direct, and Google Scholar, using a structured set of keywords. Each study …
Extricating manual and non-manual features for subunit level medical sign modelling in automatic sign language classification and recognition
R Elakkiya, K Selvamani - Journal of Medical Systems, 2017 - search.proquest.com
Subunit segmenting and modelling in medical sign language is one of the important studies
in linguistic-oriented and vision-based Sign Language Recognition (SLR). Many efforts were …
in linguistic-oriented and vision-based Sign Language Recognition (SLR). Many efforts were …
A two-stage combining classifier model for the development of adaptive dialog systems
This paper proposes a statistical framework to develop user-adapted spoken dialog
systems. The proposed framework integrates two main models. The first model is used to …
systems. The proposed framework integrates two main models. The first model is used to …