Hand Gesture Recognition and Voice Conversion for Hearing and Speech Aided Community

Authors

  • Mrs. Divya K V  Sr.Assistant Professor, Department of Information Science, New Horizon College of Engineering, Bangalore, Karnataka, India
  • Harish E  Student, Department of Information Science, New Horizon College of Engineering, Bangalore, Karnataka, India
  • Nikhil Jain D  Student, Department of Information Science, New Horizon College of Engineering, Bangalore, Karnataka, India
  • Nirdesh Reddy B  Student, Department of Information Science, New Horizon College of Engineering, Bangalore, Karnataka, India

DOI:

https://doi.org/10.32628/CSEIT206346

Keywords:

Support Vector Machine, K-Neighbors-Classifier, Logistic-Regression, MLP-Classifier, Naive Bayes, Random-Forest-Classifier, Sign Language, Hand Gesture Recognition, Deaf and Dumb Communication, Image Processing, Machine Learning.

Abstract

Sign language recognition (SLR) aims to interpret sign languages automatically by a computer in order to help the deaf communicate with hearing society conveniently. Our aim is to design a system to help the person who trained the hearing impaired to communicate with the rest of the world using sign language or hand gesture recognition techniques. In this system, feature detection and feature extraction of hand gesture is done with the help of Support Vector Machine (SVM), K-Neighbors-Classifier, Logistic-Regression, MLP-Classifier, Naive Bayes, Random-Forest-Classifier algorithms are using image processing.

References

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IInternational Journal of Scientific Research in Computer Science, Engineering and Information Technology

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Published

2020-06-30

Issue

Volume 6, Issue 3, May-June-2020

Section

Research Articles

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This work is licensed under a Creative Commons Attribution 4.0 International License.

How to Cite

[1]
Mrs. Divya K V, Harish E, Nikhil Jain D, Nirdesh Reddy B, " Hand Gesture Recognition and Voice Conversion for Hearing and Speech Aided Community" International Journal of Scientific Research in Computer Science, Engineering and Information Technology(IJSRCSEIT), ISSN : 2456-3307, Volume 6, Issue 3, pp.223-228, May-June-2020. Available at doi : https://doi.org/10.32628/CSEIT206346