IJSTR

International Journal of Scientific & Technology Research

Home About Us Scope Editorial Board Blog/Latest News Contact Us
0.2
2019CiteScore
 
10th percentile
Powered by  Scopus
Scopus coverage:
Nov 2018 to May 2020

CALL FOR PAPERS
AUTHORS
DOWNLOADS
CONTACT

IJSTR >> Volume 8 - Issue 8, August 2019 Edition



International Journal of Scientific & Technology Research  
International Journal of Scientific & Technology Research

Website: http://www.ijstr.org

ISSN 2277-8616



Comparative Analysis On Sign Language Recognition System

[Full Text]

 

AUTHOR(S)

Swati Sharma, Varun Prakash Saxena, Kandukuru Satish

 

KEYWORDS

SLR(Sign Language Recognition), KNN(k-nearest neighbor), CNN(Convolutional Neural Network),ISL(Indian Sign Language), RNN(Recurrent Neural Networks), PNN(Probabilistic Neural Networks), SVM(Support Vector Machine), HOG(Histogram Oriented Gradient), HMM(Hidden Markov Model).

 

ABSTRACT

A process of exchanging information, expressions and views between two and more than two people is communication. It can be either Verbal or Non-Verbal communication. Non-Verbal communications makes use of hand gestures for interaction. Hand Gestures can also be termed as sign language which works in a systematic way. With the help of this sign language it is becoming easier for people with disability to interact with the normal people. The people who suffers from hearing disabilities makes them different from others as they lack behind due to their impaired hearing as there is a system which is used by them to interact with normal people is SLR. Sign Language Recognition (SLR) system basically used as an intermediate between normal people and hearing impaired. In this survey, various techniques that were implemented for sign language recognition along with the key points like the Classification Algorithms are discussed including the challenges and future scope too.

 

REFERENCES

[1] Juhi Ekbote and Mahasweta Joshi, “Indian Sign Language Recognition Using ANN and SVM Classifiers” 2017 International Conference on Innovations in Embedded and Communication System (ICIIECS
[2] Umang Patel and Aarti G. Ambedkar, “Moment Based Sign Language Recognition For Indian Language” 2017 International Conference on Computing, Communication, Control and Automation (ICCUBEA).
[3] Sajanraj T D and Beena M V “ Indian Sign Language Numeral Recognition Using Region of Interest Convolutional Neural Network” 2nd International conference on Inventive Communication and computational technologies(ICICCT 2018).
[4] Bhumika Gupta, Pushkar Shukla and Ankush Mittal “K-Nearest Correlated Neighbour Classification for Indian Sign Language Gesture Recognition using Feature Fusion” 2016 International Conference On Computer Communication and Informatics(ICCCI-2016).
[5] Sarfaraz Masood, Adhyan Srivastava, Harish Chandra Thuwal and Musheer Ahmad “Real-Time Sign Language Gesture (Word) Recognition from Video Sequences Using CNN and RNN” Springer Nature Singapore Pte Ltd. 2018 V. Bhateja et al. (eds.), Intelligent Engineering Informatics, Advances in Intelligent Systems and Computing 695.
[6] Pradeep Kumar, Partha Pratim Roy , Debi Prosad Dogra “ Independent Bayesian classifier combination based sign language recognition using facial expression” Information Science Volume 248 February 2018, Pages 30-48.
[7] Purva C. Badhe and Vaishali Kulkarni “Indian sign language translator using gesture recognition algorithm” 2015 IEEE International Conference on Computer Graphics, Vision and information security (CGVIS).
[8] Thammanoon Ditcharoen, Kanlaya Naruedomkul, Nick Cercone, Bundit Tipakorn, “TSTMT: Step towards an Accurate Thai Sign Translation” Proceedings of the Fourth International Conference on Machine Learning and Applications (ICMLA’05)
[9] Kumud Tripathi, Neha Baranwal, G.C. Nandi, “ Continuous Dynamic Indian Sign Language Gesture Recognition With Invariant Backgrounds” 2015 International Conference on Advances in Computing, Communication and Informatics (ICACCI).
[10] Shwetha S kulloli, R H goudar, “ A Effective Communication Solution for hearing Impaired Persons: A novel Approach using gesture and sentence Formation ” 2017 International Conference On Smart Technology for Smart Nation.
[11] G.Ananth Rao, P.V.V. Kishore,“Sign Lanuage Recognition System Simulated for Video Captured with Smart Phone Front Camera”, International Journal Of Electrical and Computer Engineering(IJECE),vol.6,No.5,pp.2176-2187,October 2016.
[12] Rajaganapathy. S, Aravind.B, et al.,”Conversation of Sign Language to Speech with Human Gestures” 2nd International Symposium on Big Data and Cloud Computing, pp.10-15,20.
[13] Adithya V, Vinod P.R, Usha Gopalakrishna, “Artificial Neural Network Based Method For Indian Sign Language Recognition” Proceedings of 2013 IEEE Conference on Information and Communication Technologies (ICT 2013).
[14] Tejas Nanaware, Sameer Sahasrabudhe, Nitin Ayer, Romey Christo, “Fingerspelling-Indian Sign Language Trainning Tool” 2018 IEEE 18th International Conference on Advanced Learning Technologies.
[15] Prerna Gupta, Garim Joshi, Dr. Maitreyee Dutta, “Comparative Analysis Of Movement and Tracking Techniques For Indian Sign Language Recognition ” 2015 Fifth International Conference on Advanced Computing and Communication Technologies.
[16] Kartik Shenoy, Tejas Dastane, Varun Rao, Devendra Vyavaharkar, “Real-time Indian Sign Language(ISL) Recognition” 9th ICCCNT 2018 july 10-12, 2018, IISC, Bengaluru,India.
[17] Jie Huang, Wengang Zhou, Houqiang Li, and Weiping Li, “Sign Language using Real-Sense” IEEE University Of Science and Technology of China, Hefei, 230027, China.
[18] Hardik Rewari, Vishal Dixit, Dhroov Batra, Hema N, “Automated Sign Language Interpreter” Proceedings of 2018 Eleventh International Conference on Contemporary Computing(IC3), 2-4 August. 2018, Noida, India.
[19] Akanksha Singh, Saloni Arora, Pushkar Shukla, Ankush Mittal, “Indian Sign Language Gesture Classification as Single Handed or Double handed ” 2015 Third International Conference on Image Information Processing.
[20] S.Reshna and M.Jayaraju, “ Spotting and Recognition of Hand Gesture for Indian Sign Language Recognition System with skin segmentation and SVM” 2017 International Conference on Wireless Communication, Signal Processing and Networking (WiSPNET).
[21] Shruti Mathur, Varun Prakash Saxena, “Hybrid Approach to English Hindi name entity transliteration” 2014 IEEE Students Conference on Electrical, Electronics and Computer Science.
[22] Shruti Mathur, Varun Prakash Saxena, “Improving the Quality of English Hindi name Entity Translation” International Journal of Computer Applications(0975-8887) Volume 96-No. 25, June 2014.
[23] Prashant Tiwari, Varun Prakash Saxena, Raj Gaurav Mishra, Devendra Bhavsar, “Wireless sensor networks: introducton, advantages, applications and research challenges” HCTL Open International Jourmal of Technology Innovations and Research(IJTIR).
[24] Prashant Tiwari, Varun Prakash Saxena, Raj Gaurav Mishra, Devendra Bhavsar, “A survey of localization methods and techniques in Wireless sensor networks” HCTL Open International Jourmal of Technology Innovations and Research(IJTIR).