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IJSTR >> Volume 9 - Issue 1, January 2020 Edition



International Journal of Scientific & Technology Research  
International Journal of Scientific & Technology Research

Website: http://www.ijstr.org

ISSN 2277-8616



Design And Implementation Of Sign Language Translator Using Microtouch Sensor

[Full Text]

 

AUTHOR(S)

Nithyakalyani.K, S.Ramkumar, K.Manikandan

 

KEYWORDS

Arduino, Aurally impaired, Indian Sign Language, Microtouch Switch

 

ABSTRACT

Background: Use of sign language alone can impair the communication between the aurally impaired and the rest of the world. Lack of understanding by the unimpaired and environmental conditions such as darkness also affect communication when sign language is used. Objective: To develop a sign language translator for the aurally impaired, that will translate the signs to speech and display the output for better communication. Methodology: A glove incorporated with microtouch switch is used for the gesture recognition of Indian Sign Language (ISL). The output of the microtouch switch is given as an input to the Arduino based unit for converting it into speech and text. Results: The developed system was able to successfully detect signs for gestures such as I, Hello, Thank you, Know, Sorry, Yes, and No. Conclusion: This system was efficient in detecting the gestures with minimal time delay. This device was efficient in translation, and performed satisfactorily during the bench testing. However, a feasibility study with the intended patient group is required, where the efficacy of this device can be evaluated.

 

REFERENCES

[1] Sutarman, Mazlina Abdul Majid and Jasni Mohamad Zain, “A review on the development of indonesian sign language recognition system”, Volume 9, Issue 11, Pages 1496-1505.
[2] M.Abirami, P.Agnes Emi, N.Vimala devi, P.Padmapriya “Sign language communication using microtouch sensor”, International Journal of Pure and Applied mathematics ., vol. 119, no. 15 2018.
[3] S. P. Dawane and H. G. A. Sayyed, “Hand gesture recognition for deaf and dumb people using GSM module”, International conference on science and research., vol. 6, no. 5, pp. 2226-2230, May 2017.
[4] N. Caporusso, L. Biasi, G. Cinquepalmi, G. F. Trotta and A. Brunetti, “A wearable device supporting multiple touch and gesture-based languages for the deaf-blind,” presented at International Conference in Application of Human Factors and Ergonomics, LA, CA, USA, Jul. 17-21 2017.
[5] L. Sousa, J. M. F. Rodrigues, J. Monteiro, P. J. S. Cardoso and R. Lam, “GyGSLA: a portable glove system for learning sign language alphabet,” presented at International Conference Access in Human Computer Interaction, Toronto, ON, Canada, Jul. 17-22, 2016.
[6] ] Dalal Abdulla, Shahrazad Abdulla and Rameesa Manaf, “Design and implementation of a Sign to Speech /Text system for Deaf and Dumb people”, 5th International conference on Electronic devices, systems and applications, 2016.
[7] ChetanDhule, TruptiNagrare, “Computer vision based human-computer interaction using color detection techniques”, 4th International conference on communication system and Network technologies, 2014.
[8] Signlanguagealphabets https://lifeprint.com/asl101/topics/wallpaper1.htm
[9] Mazlina Binti Abdul Majid, Jasni Binti Mohamad Zain, “Vision based Sign language recognition systems”, International conference on science