Comparative Analysis of Facial Expression Detection Techniques Based on Neural Network

Authors

  • Yogendra Mohan
  • Vikas Tripathi

How to Cite

Mohan, Y., & Tripathi, V. (2018). Comparative Analysis of Facial Expression Detection Techniques Based on Neural Network. International Journal of Engineering and Technology, 7(4.38), 866-870. https://doi.org/10.14419/ijet.v7i4.38.27597

Received date: February 20, 2019

Accepted date: February 20, 2019

Published date: December 3, 2018

DOI:

https://doi.org/10.14419/ijet.v7i4.38.27597

Keywords:

Object Detection, Robotics, Pattern Recognition, Neural Network, Facial Expression, Computer Vision

Abstract

Face detection is a critical part of vision and a robot needs to identify a human accurately. A human face undergoes several states of facial expression in a day. Many object detection techniques are applied to identify a facial expression from a digital image or a video frame. Each object detection technique has its own benefits. The overall objective of this paper is to explore the benefits and limitation of existing techniques and provide a comparative analysis. Neural network based facial expression detection technique has demonstrated potential benefits over existing facial expression detection techniques.

 

 

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How to Cite

Mohan, Y., & Tripathi, V. (2018). Comparative Analysis of Facial Expression Detection Techniques Based on Neural Network. International Journal of Engineering and Technology, 7(4.38), 866-870. https://doi.org/10.14419/ijet.v7i4.38.27597

Received date: February 20, 2019

Accepted date: February 20, 2019

Published date: December 3, 2018