Neural Network through Face Recognition

Authors

  • A.K. Gupta Defence Research and Development Organisation, Delhi, India
  • S. Gupta Association for Computing Machinery, Delhi, India

Keywords:

human-computer interface, image processing, lip gestures, artificial neural network

Abstract

The aim is to utilise image processing to figure out lip movements and provide lice interaction with the system based on it. The multimodal HCI is displayed which enables a client to take a shot at a PC utilizing developments and motions made with the specific user’s mouth. Calculations for lip development and lip signal acknowledgement are introduced in points of interest. Client confront pictures are caught with a standard webcam. Face identification depends on a course of helped classifiers. Mouth position is utilized to track lip developments that enables a client to control a screen cursor. Three lip signals which are mouth opening, standing out tongue, and framing puckered lips respectively are perceived. An acknowledgment of lip is performed by simulated neural system.

 

References

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Published

2018-04-30

How to Cite

[1]
A. Gupta and S. Gupta, “Neural Network through Face Recognition”, Int. J. Sci. Res. Comp. Sci. Eng., vol. 6, no. 2, pp. 38–40, Apr. 2018.

Issue

Section

Research Article

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