Indian sign language to forecast text using leap motion sensor and RF classifier

Author(s):  
Poonam Chavan ◽  
Tushar Ghorpade ◽  
Puja Padiya
Sensors ◽  
2020 ◽  
Vol 20 (12) ◽  
pp. 3571
Author(s):  
Jesús Galván-Ruiz ◽  
Carlos M. Travieso-González ◽  
Acaymo Tejera-Fettmilch ◽  
Alejandro Pinan-Roescher ◽  
Luis Esteban-Hernández ◽  
...  

This review analyses the different gesture recognition systems through a timeline, showing the different types of technology, and specifying which are the most important features and their achieved recognition rates. At the end of the review, Leap Motion sensor possibilities are described in detail, in order to consider its application on the field of sign language. This device has many positive characteristics that make it a good option for sign language. One of the most important conclusions is the ability of the Leap Motion sensor to provide 3D information from the hands for due identification.


Sign language is the route through which deaf and dumb people usually communicate with one another. It is seen that, impaired people find a difficulty while interacting with the society. Normal individuals are not able to understand their sign language. To bridge this gap, the proposed system acts as the mediator between impaired and normal people. This system uses Kinect motion sensor to capture the signs. The Kinect motion sensor captures 3 dimentional dynamic gestures. Thus this study is proposed for extracting features of dynamic gestures of Indian Sign Language (ISL). As American Sign Language (ASL) is popular and is used in research and development field, on the other hand ISL has been recently standardized and hence ISL recognition is less explored. The propose method extracts feature from the sign and converts it to the intended textual form. The method then integrates local as well as global information of the signs. This integrated feature leads to improvizing the system performance , the system serves as an aid to disabled people. Its application includes hospitals, government sectors and some multinational companies.


2019 ◽  
Vol 7 (2) ◽  
pp. 43
Author(s):  
MALHOTRA POOJA ◽  
K. MANIAR CHIRAG ◽  
V. SANKPAL NIKHIL ◽  
R. THAKKAR HARDIK ◽  
◽  
...  

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