IEEE Style Citation: Palash.Y.Ingle, Raj Kumar, “Let’s talk model for converting Gesture to voice using hand glove and IOT,” International Journal of Computer Sciences and Engineering, Vol.7, Issue.5, pp.806-809, 2019.
MLA Style Citation: Palash.Y.Ingle, Raj Kumar "Let’s talk model for converting Gesture to voice using hand glove and IOT." International Journal of Computer Sciences and Engineering 7.5 (2019): 806-809.
APA Style Citation: Palash.Y.Ingle, Raj Kumar, (2019). Let’s talk model for converting Gesture to voice using hand glove and IOT. International Journal of Computer Sciences and Engineering, 7(5), 806-809.
BibTex Style Citation:
@article{Kumar_2019,
author = {Palash.Y.Ingle, Raj Kumar},
title = {Let’s talk model for converting Gesture to voice using hand glove and IOT},
journal = {International Journal of Computer Sciences and Engineering},
issue_date = {5 2019},
volume = {7},
Issue = {5},
month = {5},
year = {2019},
issn = {2347-2693},
pages = {806-809},
url = {https://www.ijcseonline.org/full_paper_view.php?paper_id=4317},
doi = {https://doi.org/10.26438/ijcse/v7i5.806809}
publisher = {IJCSE, Indore, INDIA},
}
RIS Style Citation:
TY - JOUR
DO = {https://doi.org/10.26438/ijcse/v7i5.806809}
UR - https://www.ijcseonline.org/full_paper_view.php?paper_id=4317
TI - Let’s talk model for converting Gesture to voice using hand glove and IOT
T2 - International Journal of Computer Sciences and Engineering
AU - Palash.Y.Ingle, Raj Kumar
PY - 2019
DA - 2019/05/31
PB - IJCSE, Indore, INDIA
SP - 806-809
IS - 5
VL - 7
SN - 2347-2693
ER -
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Abstract
Inability to speak make difficult to convey Message. People with disability use sign language for communication. Mute deaf uses hand gestures to convey there say. This hand glove prototype will help them to communicate with others. The model is developed with the help of an electronic device which translates the sign language into speech so that they can communicate. On hand glove, shirt buttons are stitched which work as a point of contact for the different gesture. The generated gestures are being captured by the Arduino Uno which transmits the corresponding instruction to the mobile application with the help of Bluetooth sensor, the mobile application responds with voice. Not only it will help mute deaf but it will also help half paralysis patient to covey the daily routine or basic say in an easy way. The goal of this paper is to provide a simple solution for fewer instructions with maximum accuracy including innovative and cost-cutting hardware solution.
Key-Words / Index Term
Bluetooth sensor, hand glove, shirt buttons [tap buttons], Arduino Uno
References
[1] “Deaf-Mute Communication Interpreter” by Anbarasi Rajamohan, Hemavathy R., Dhanalakshmi M. International Journal of Scientific Engineering and Technology (ISSN : 2277-1581) Volume 2 Issue 5, pp : 336-341, 1 May 2013
[2] Satjakarn Vutinuntakasame, “An Assistive Body Sensor Network Glove for Speech- and Hearing- Impaired Disabilities”, Proceedings of the 2011 IEEE Computer Society International Conference on Body Sensor Networks
[3] Kunal Kadam, Rucha Ganu, Ankita Bhosekar, Prof. S. D. Joshi, “American Sign Language Interpreter”, Proceedings of the 2012 IEEE Fourth International Conference on Technology for Education
[4] “A new instrumented approach for translating American Sign Language into sound and text” by Hernandez-Rebollar, J. L. ; Kyriakopoulos, N. ; Lindeman, R.W. Automatic Face and Gesture Recognition, 2004.
[5] “Sign language recognition using sensor gloves” by Mehdi, S.A.; Khan, Y. N. Neural Information Processing, 2002.ICONIP `02. Proceedings of the 9th International Conference,Volume: 5 Publication Year: 2002 , IEEE Conference Publications.
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