A Survey on Adolescent Monitoring System Using Deep Learning

Authors

  • Abhishek Rao Dept. Of Computer Science & Engineering, Jyothy Institute of Technology, Bangalore, India
  • Srikrishna Srikrishna Dept. Of Computer Science & Engineering, Jyothy Institute of Technology, Bangalore, India
  • Sahil Sahil Dept. Of Computer Science & Engineering, Jyothy Institute of Technology, Bangalore, India
  • Adithya Arun Dept. Of Computer Science & Engineering, Jyothy Institute of Technology, Bangalore, India
  • Srinidhi Kulkarni Dept. Of Computer Science & Engineering, Jyothy Institute of Technology, Bangalore, India

DOI:

https://doi.org/10.5281/zenodo.6544057

Keywords:

Deep learning, Parental control, Conversations, Text recognition

Abstract

Today in 21st century people are connected through internet globally, internet was created such that people could connect, send file and share information with one another through internet . But there are problem with this system of internet these problem are defined as inappropriate content , hate speeches and fake news etc. As a result, inappropriate comments are turning into an problem where it slowly degrading the effectiveness of user experience and create distrust for the user , where he/she will discontinue the service because of these problem. Hence, automated detection and filter can be used for such inappropriate comments as it solve the present problem by filtering such harmful comment and with adolescent monitor system, a user can monitor their children activity and browsing history in internet.

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References

Perceived Parental Control and Risk-Taking from a Machine Learning Approach paper, The European Conference on Psychology & the Behavioral Sciences 2018

Deep learning for detecting inappropriate content in text paper , International Journal of Data Science and Analytics

On the Development of Advanced Parental Control Tools paper , IEEE XPLORE 16 January 2017

Spam Flagging and Call Blocking and Its Impact on Survey Research paper , "David Dutwin, SSRS Micheline Blum, Baruch College ,Kennon Copeland, NORC"

Parental controls on children’s computer and Internet use paper , IEEE XPLORE January 4, 2009

Development of an Application for Parental Control of WhatsApp on Android Mobile Devices paper , IEEE Xplore: 26 December 2019

Self-Hiding Behavior in Android Apps: Detection and Characterization paper, IEEE Xplore: 03 September 2018

A Study on Text Recognition using Image Processing with Datamining techniques , International Journal of Computer Sciences and Engineering

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Published

2022-05-05

How to Cite

[1]
A. Rao, S. Srikrishna, S. Sahil, A. Arun, and S. Kulkarni, “A Survey on Adolescent Monitoring System Using Deep Learning”, pices, vol. 6, no. 1, pp. 4-6, May 2022.

Issue

Vol. 6 No. 1 (2022): Issue 1 - April 2022

Section

Articles

URN

http://nbn-resolving.de/urn:nbn:de:101:1-2022051218383617772887

License

Copyright (c) 2022 Perspectives in Communication, Embedded-systems and Signal-processing - PiCES

Creative Commons License

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