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Research Article

Health Monitoring Using IoT and Voice Conversion Using Hand Gesture

Priyadharshini V1 Preethi A V2 Riyani Jose A3
123ECE, Bannari Amman Instiute of Technology, Tamil Nadu, India.

Published Online: March-April 2023

Pages: 193-198

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References

[1] P. C. Badhe and V. Kulkarni, "Indian sign language translator using gesture recognition algorithm," 2015 IEEE International
Conference on Computer Graphics, Vision and Information Security (CGVIS), Bhubaneswar, 2015, pp. 195-200.
[2] Madhuri Sharma, Ranjna Pal and Ashok Kumar Sahoo, “Indian Sign Language Recognition Using Neural Networks and KNN
Classifiers”, ARPN Journal of Engineering and Applied Sciences, Vol. 9, No. 8, August 2014.
[3] V. Adithya, P. R. Vinod and U. Gopalakrishnan, "Artificial neural network based method for Indian sign language
recognition," Information & Communication Technologies (ICT), 2013 IEEE Conference on, JeJu Island, 2013, pp. 1080-1085.
[4] A. Singh, S. Arora, P. Shukla and A. Mittal, "Indian Sign Language gesture classification as single or double handed gestures,"
2015 Third International Conference on Image Information Processing (ICIIP), Waknaghat, 2015, pp. 378-381.
[5] Gunasekaran. K, Manikandan, International Journal of engineering andtechnology (IJET): Sign language to speech translation
using PIC Microcontroller
[6] Thomas Prayor and Navid Azodi of university of Washington lemelson- MIT undergraduate Sign Aloud -gloves that transliterate sign
language into speech.
[7] Pratibha Pandey, Vinay Jain, Hand Gesture Recognition for Sign Language Recognition: A Review, International Journal of
Science Engineering and Technology Research (IJSETR), Volume 4, Issue 3, March 2015.
[8] Mandeep Kaur Ahuja, Amardeep Singh, Hand Gesture Recognition Using PCA, International Journal of Computer Science
Engineering and Technology(IJCSET), Volume 5, Issue 7, pp. 267-27, July 2015.

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