Motion and Gesture Controlling

Authors

  • Jayvir Kher  Computer Science and Engineering, Parul Institute of Technology, Vadodara, Gujarat, India
  • Sunny Rajpurohit  Computer Science and Engineering, Parul Institute of Technology, Vadodara, Gujarat, India
  • Himanshu Patidar  Computer Science and Engineering, Parul Institute of Technology, Vadodara, Gujarat, India
  • Gourav Patidar  Computer Science and Engineering, Parul Institute of Technology, Vadodara, Gujarat, India
  • Kaushal Pathak  Computer Science and Engineering, Parul Institute of Technology, Vadodara, Gujarat, India

DOI:

https://doi.org/10.32628/CSEIT206298

Keywords:

Hand Gestures, Colour Detection, Human Computer Interaction (HCI), Web camera.

Abstract

Hand gesture is an innovative technique of interaction between human and computer. Hand gesture recognition is a technology that is becoming increasingly relevant, given the recent growth and popularity of Virtual and Augmented Reality technologies. In this paper, we represent a novel approach for better human computer interaction (HCI) where we are using hand gesture recognition using real-time camera in order to overcome the drawbacks of existing methods and more user friendly. Our method is to use a camera and computer vision technology, such as image segmentation and gesture recognition, to control keyboard tasks and Hand motions are acquired using web camera based on color detection.

References

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

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Published

2020-04-30

Issue

Volume 6, Issue 2, March-April-2020

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]
Jayvir Kher, Sunny Rajpurohit, Himanshu Patidar, Gourav Patidar, Kaushal Pathak, " Motion and Gesture Controlling" International Journal of Scientific Research in Computer Science, Engineering and Information Technology(IJSRCSEIT), ISSN : 2456-3307, Volume 6, Issue 2, pp.337-341, March-April-2020. Available at doi : https://doi.org/10.32628/CSEIT206298