International Research journal of Management Science and Technology

  ISSN 2250 - 1959 (online) ISSN 2348 - 9367 (Print) New DOI : 10.32804/IRJMST

Impact Factor* - 6.2311


**Need Help in Content editing, Data Analysis.

Research Gateway

Adv For Editing Content

   No of Download : 61    Submit Your Rating     Cite This   Download        Certificate

SIGNIFY A DEEP LEARNING APPROACH TO INDIAN SIGN LANGUAGE RECOGNITION

    5 Author(s):  SHREERAJ BHAMARE,VALLABH KULKARNI,SHREYAS PATIL,MR. S. K. GAIKWAD,MR. S. S. KUMBHAR

Vol -  14, Issue- 3 ,         Page(s) : 185 - 195  (2023 ) DOI : https://doi.org/10.32804/IRJMST

Abstract

Sign language is a crucial mode of communication for people with hearing impairments, with over 1.5 billion people living with hearing loss worldwide. Accurate recognition of sign language is necessary to ensure effective communication and social and economic integration of individuals with hearing impairments.

A. Mittal, P. Kumar, P. P. Roy, R. Balasubramanian and B. B. Chaudhuri, "A Modified LSTM Model for Continuous Sign Language Recognition Using Leap Motion," in IEEE Sensors Journal, vol. 19, no. 16, pp. 7056-7063, 15 Aug.15, 2019, doi: 10.1109/JSEN.2019.2909837. A Sunitha Nandhini1, D Shiva Roopan1, S Shiyaam1 and S Yogesh1
A Sunitha Nandhini1, D Shiva Roopan1, S Shiyaam1 and S Yogesh1 ,  “ Sign Language Recognition Using Convolutional Neural Network” Published under licence by IOP Publishing Ltd, J. Phys.: Conf. Ser. 1916 012091DOI 10.1088/1742-6596/1916/1/012091

*Contents are provided by Authors of articles. Please contact us if you having any query.






Bank Details