Framework for Detecting Dyslexia

Authors

  • Suyash Thonte  Student, Department of Computer Engineering, Dr. D. Y. Patil School of Engineering, Lohegoan Savitribai Phule Pune University, Pune, Maharashtra, India
  • Risha Saxena  Student, Department of Computer Engineering, Dr. D. Y. Patil School of Engineering, Lohegoan Savitribai Phule Pune University, Pune, Maharashtra, India
  • Shubham Swami  Student, Department of Computer Engineering, Dr. D. Y. Patil School of Engineering, Lohegoan Savitribai Phule Pune University, Pune, Maharashtra, India
  • Onkar Kamthe  Student, Department of Computer Engineering, Dr. D. Y. Patil School of Engineering, Lohegoan Savitribai Phule Pune University, Pune, Maharashtra, India
  • Prof. Pallavi Shimpi  Professor, Department of Computer Engineering, Dr. D. Y. Patil School of Engineering, Lohegoan Savitribai Phule Pune University, Pune, Maharashtra, India

DOI:

https://doi.org/10.32628/IJSRST19669

Keywords:

Test Modules, EyeTracking Algorithm, FacialRecognition, BigData, Pattern Recognition.

Abstract

In this paper we present a Big data-based multimedia System, which uses text, audio, video, Pattern Recognition and Facial Recognition along with Eye-Tracking to detect a set of symptoms of having dyslexia among children. Several test modules have been developed, which gives indications of dyslexia diagnosis. Also Eye Tracking and Facial Recognition gives a furthermore Precise results. The multimedia framework is envisioned to accelerate and ease the process of detecting dyslexia at the global level, and to predict the presence of disease in the individual and also determine the intensity of the disease.

References

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International Journal of Scientific Research in Science and Technology

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Published

2019-12-30

Issue

Volume 6, Issue 6, November-December-2019

Section

Research Articles

License

Copyright (c) IJSRST

Creative Commons License

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

How to Cite

[1]
Suyash Thonte, Risha Saxena, Shubham Swami, Onkar Kamthe, Prof. Pallavi Shimpi "Framework for Detecting Dyslexia" International Journal of Scientific Research in Science and Technology(IJSRST), Online ISSN : 2395-602X, Print ISSN : 2395-6011,Volume 6, Issue 6, pp.245-248, November-December-2019. Available at doi : https://doi.org/10.32628/IJSRST19669