Mobile Application Based Translation of Sign Language to Text Description in Kannada Language
Autor: | Shyamrao V. Gumaste, Ramesh M. Kagalkar |
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Jazyk: | angličtina |
Rok vydání: | 2018 |
Předmět: |
Computer Networks and Communications
Computer science Feature extraction TK5101-6720 Sign language computer.software_genre Edge detection Gesture recognition 030507 speech-language pathology & audiology 03 medical and health sciences Image processing business.industry Video processing Expression (computer science) Computer Science Applications Support vector machine Telecommunication Gesture recognition Image processing Sign language Video processing Artificial intelligence 0305 other medical science business computer Natural language processing Sign (mathematics) |
Zdroj: | International Journal of Interactive Mobile Technologies, Vol 12, Iss 2, Pp 92-112 (2018) International Journal of Interactive Mobile Technologies (iJIM); Vol. 12 No. 2 (2018); pp. 92-112 |
ISSN: | 1865-7923 |
Popis: | Sign language is a main mode of communication for vocally disabled. This language use set of representation which is finger sign, expression or mixture of both to express their information among others. This system presents a novel approach for mobile application based translation of sign action analysis, recognition and generating a text description in Kannada language. Where it uses two important steps training and testing. In training set of 50 different domains of video samples are collected, each domain contains 5 samples and assign a class of words to each video sample and it will be store in database. Where in testing test sample under goes preprocessing using median filter, canny operator for edge detection, HOG for feature extraction. SVM takes input as a HOG features and predict the class label based on trained SVM model. Finally the text description will be generated in Kannada language. The average computation time is minimum and with acceptable recognition rate and validate the performance efficiency over the conventional model. |
Databáze: | OpenAIRE |
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