TY - JOUR ID - 121506 TI - A survey on the techniques applied to the recognition and conversion of Indian sign language JO - Journal of Applied Research on Industrial Engineering JA - JARIE LA - en SN - 2538-5100 AU - Rao Mangalore, Kaushal Kishore AU - Pradeep, Nikhitha AU - Rajpal, Bhawesh AU - Prasad, Nitin AU - Shastri, Ravi AD - Department of MCA, School of Computer Science and IT, Jain (deemed-to-be) University, Bengaluru, India. Y1 - 2021 PY - 2021 VL - 8 IS - 4 SP - 399 EP - 411 KW - Indian Sign Language KW - Sign Language Recognition KW - Gesture recognition KW - convolutional neural network KW - Multilayer Perceptron KW - Neuro-fuzzy system DO - 10.22105/jarie.2020.259290.1214 N2 - The move to standardize Indian Sign Language has created an opportunity for researchers to focus on solving local problems, to increase its reach. In this paper, a survey and assessment of the techniques applied to the recognition and conversion of Indian Sign Language are performed. An overview of the techniques used in sign language recognition for Indian Sign Language is provided to understand the status of research in this field. Following this, a comparison of techniques aimed at rendering a more detailed picture of the research results is presented. The challenges faced by researchers, the limitations of current techniques, and the need for improved research in this area are highlighted. With the intent of spurring more in-depth research, key areas within the approaches and techniques in need of improvement are summarized. UR - https://www.journal-aprie.com/article_121506.html L1 - https://www.journal-aprie.com/article_121506_a6daf47445222994bd5eaa3d1d93d961.pdf ER -