Face Emotion Recognition Using Support Vector Machine

Ask For Price

Description

Face Emotion Recognition Using Support Vector Machine

ABSTRACT:-

The project presents speech emotion recognition from speech signals based on features analysis, trained by SVM and classified by NN-classifier. Automatic Face emotion recognition (SER) plays an important role in HCI systems for measuring people’s emotions and has dominated psychology by linking expressions to groups of basic emotions (i.e., anger, disgust, fear, happiness, sadness, and surprise). The recognition system involves Face emotion detection, features extraction, SVM and selection, and finally classification. These features are useful to distinguish the maximum number of samples accurately and the NN classifier based on discriminate analysis is used to classify the six different expressions. The simulated results will be shown that the filter-based feature extraction with the used classifier gives much better accuracy with lesser algorithmic complexity than other Face emotion expression recognition approaches. Face Emotion Recognition Using Support Vector Machine


System Analysis

   Existing Systems

  • LBP
  • Clustering 
  • KN
  • Segmentation 

PROPOSED SYSTEM:

  • SVM
  • Haar cascade
  • IN

Advantages

  • Counting  is attained accurately
  • Less time consumption

Face Emotion Recogntion Using Support Vector Machine

Block Diagram

Face Emotion Recogntion Using Support Vector Machine


Requirement Specifications

Hardware Requirements

  • system
  • 4 GB of RAM
  • 500 GB of Hard disk

SOFTWARE REQUIREMENTS:

  • MATLAB 2014 and above

Face Emotion Recogntion Using Support Vector Machine

REFERENCE:

[1] H. L. Wagner, R. Buck, M. Winterbotham, “Communication of specific emotions: Gender differences in sending accuracy and communication measures,” J. Nonverbal. Behav., vol.17, pp.29-52, 1993. 

[2] J. G. Allen, D. M. Hassoun, “Sex differences in emotionality: A multidimensional approach,” Hum. Relat., vol. 29, pp. 711- 722, 1976.

 [3] C. L. Barr, R. E. Kleck, Self-other perception of the intensity of facial expressions of emotion: Do we know what we show,” J. Pers. Soc. Psychol. vol. 68, pp.608-618, 1995.

 [4] A. M. Kring, A. H. Gordon, “Sex differences in emotion: Expression, experience, and physiology,” J. Pers. Soc. Psychol. vol. 74, pp. 686-703, 1998. 

[5] L. R. Brody, Gender, emotional expression, and parent-child boundaries. In R. D. Kavanaugh, B. Zimmerberg, & S. Fein (Eds.), Emotion: Interdisciplinary perspectives, 1996, pp. 139-170. Mahwah, NJ: Lawrence Erlbaum.

 

Customer Reviews

There are no reviews yet.

Be the first to review “Face Emotion Recognition Using Support Vector Machine”

Your email address will not be published. Required fields are marked *