Title :
Sign language recognition through fusion of 5DT data glove and camera based information
Author :
Ramakant ; Shaik, Noor-e-Karishma ; Veerapalli, Lathasree
Author_Institution :
Electron. & Commun. Eng., Rajiv Gandhi Univ. of Knowledge & Technol., India
Abstract :
Hand gestures serve as primary tools for man-machine interaction. Hand Gesture Recognition System provides a natural, innovative and modern way on non verbal communication. A wide area of applications in Human Computer Interaction and Sign Language Recognition are available over last decade. This paper is a part of the project that aims at designing a real time system that would recognize sign language accurately. The gestures are recognized through camera based and 5DT data glove based systems respectively and these are combined to increase the recognition rate. The proposed fusion algorithm provides a high recognition rate as compared to discrete approaches.
Keywords :
cameras; data gloves; human computer interaction; image fusion; real-time systems; sign language recognition; 5DT data glove; camera based information; hand gesture recognition system; human computer interaction; image fusion algorithm; nonverbal communication; real time system; sign language recognition; Accuracy; Assistive technology; Cameras; Data gloves; Gesture recognition; Neural networks; Skin; Camera based; Glove based; Hand gestures; Human Computer Interaction; Neural network;
Conference_Titel :
Advance Computing Conference (IACC), 2015 IEEE International
Conference_Location :
Banglore
Print_ISBN :
978-1-4799-8046-8
DOI :
10.1109/IADCC.2015.7154785
