SURVEY ON SIGN LANGUAGE RECOGNITION IN MEDICAL DOMAIN
Murugeshwari Adhiappan
, Priyadharshini Subramaniyan , Sivasankari Kannan , Andrea Roshal A , K.M.R Gurucharan
Sign Language, Convolutional Neural Network, Artificial Neural Networks, You Only Look Once Version3 Algorithm, Deep Convolutional Long Short Term Memory Network, Hidden Markov Model, Microsoft Kinect 2, Multi-class Support Vector Machine and Support Vector Machine
This literature survey mainly focuse on the developed advance technologies to provide more comfortable commication for deaf & dumb with normal people mainly on medical domain. Recognizing the sign language was computational tasks which involves identifying the actions so, it is very important to fill out communication gaps between hearing people with hearing impairments by using various softwares and algorithms such as 2D point based convolution network, Microsoft Kinect , 3D CNN based skeleton networks
,multiclass support vector machine,deep learning, deep convolutional long short-term memory network.This paper provides a brief survey about the various research works carried out in the medical field.
"SURVEY ON SIGN LANGUAGE RECOGNITION IN MEDICAL DOMAIN", TIJER - TIJER - INTERNATIONAL RESEARCH JOURNAL (www.TIJER.org), ISSN:2349-9249, Vol.11, Issue 2, page no.600-606, February-2024, Available :https://tijer.org/TIJER/papers/TIJERB001095.pdf
Volume 11
Issue 2,
February-2024
Pages : 600-606
Paper Reg. ID: TIJER_151036
Published Paper Id: TIJERB001095
Downloads: 000273
Research Area: Science and Technology
Country: Thiruvallur,Chennai, Tamil Nadu, India
ISSN: 2349-9249 | IMPACT FACTOR: 8.57 Calculated By Google Scholar | ESTD YEAR: 2014
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.57 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator
Publisher: TIJER (IJ Publication) Janvi Wave
