Hand Gesture Control Media Player

Authors

  • Dr. Sheshang Degadwala  Head of Department, Computer Engineering Department, Sigma Institute of Engineering, Vadodara, Gujarat, India
  • Harsh Thakkar  Computer Engineering Department, Sigma Institute of Engineering, Vadodara, Gujarat, India
  • Mansha Gor  Computer Engineering Department, Sigma Institute of Engineering, Vadodara, Gujarat, India
  • Anuj Patel  Computer Engineering Department, Sigma Institute of Engineering, Vadodara, Gujarat, India
  • Krupa Patel  Computer Engineering Department, Sigma Institute of Engineering, Vadodara, Gujarat, India

DOI:

https://doi.org/10.32628/CSEIT1835299

Keywords:

Gesture, Decision Tree, Skin Detection, Recognition, Communication

Abstract

Motion is a most ideal approach to offer contribution to the gadget. Motion is a standout amongst the most distinctive and emotional method for correspondences amongst human and PC. Hence, there has been a developing enthusiasm to make simple to-utilize interfaces by straightforwardly using the common correspondence and administration abilities of people. This application contains a focal calculation module which portions the frontal area part of the edge utilizing skin discovery and inexact middle strategy. The acknowledgment of signal is finished by making a Decision Tree, which utilizes different components extricated from the fragmented part.

References

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

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Published

2018-05-30

Issue

Volume 3, Issue 5, May-June-2018

Section

Research Articles

License

Copyright (c) IJSRCSEIT

Creative Commons License

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

How to Cite

[1]
Dr. Sheshang Degadwala, Harsh Thakkar, Mansha Gor, Anuj Patel, Krupa Patel, " Hand Gesture Control Media Player" International Journal of Scientific Research in Computer Science, Engineering and Information Technology(IJSRCSEIT), ISSN : 2456-3307, Volume 3, Issue 5, pp.1184-1189, May-June-2018. Available at doi : https://doi.org/10.32628/CSEIT1835299