FACIAL EMOTION RECOGNITION USING GABOR (HAPPY, SAD, ANGER, NEUTRAL MOOD)

Abstract

The best way to communicate the emotions and intentions is facial expressions. This is powerful because as per the psychological research 55% of the total communicated message is the human facial expression. Therefore deriving an effective facial representation from the original face image is a vital step and very tough task in the field of computer science for successful facial expression recognition. Human facial recognition usually uses image processing, gesture signal processing and physiological signal processing. Most use of this system is in the area of security, psychological studies, and social interaction [Ekman et al., 1997] [5]. Facial expression reflects not only emotions but other mental activities, social interaction and physiological signals. Gabor filters are used to extract the features of facial expressions. GF represents the behavior of receptive fields in human visual systems (HVS) very effectively even in case of slight object rotation, distortion and variation in illumination. Here we have considered face database in which the different expressions of facial images are stored. Different facial expressions will be recognized as neutral, disgust, happy, sad, and anger. In this first we extracted the features of face by using Gabor filter and then applied SVM to classify into different mood. Finally mood is recognized and verified by using confusion matrix.

Authors and Affiliations

Mohd Shamsh Alam

Keywords

Related Articles

 How Data Classification Helps Improve Data Leakage Prevention

 Most Information that is of utmost value to the organization is electronic and with very few controls around it. Therefore, the role played by Data Leakage Prevention solutions as part of the base security infrast...

 STUDY AND ANALYSIS ON PACKET SNIFFING TOOL CAIN AND ABEL- A REVIEW

 Packet sniffing is a process which uses software or hardware devices to monitor and capture all data packets that are passing through any given network. Packet sniffing is a kind of wiretap which overseer telephon...

 SEISMIC VULNERABILITY ASSESSMENT OF BUILDINGS IN HYDERABAD CITY

 India has a range of the world’s greatest earthquakes in the last century. Assuredly, quite one-half space within the country is considered at risk of damaging earthquakes. The northeastern region of the country a...

 [b]Analysis of Geothermal Cooling System F [/b]

 Energy used for space heating and cooling accounts for almost one in the prices of fuels and electricity cost has led to the use of alternate energy sources like geothermal energy to used for heating and cooling....

 Use of Coefficient of Skewness and Quartile Deviation of Auxiliary Variable for Improved Estimation of Population Mean

 The present manuscript is about the improved estimation of population mean of the main variable (y) under study using ratio type estimator by making a suitable use of the coefficient of variation and the quartile...

Download PDF file
  • EP ID EP127539
  • DOI -
  • Views 99
  • Downloads 0

How To Cite

Mohd Shamsh Alam (0). FACIAL EMOTION RECOGNITION USING GABOR (HAPPY, SAD, ANGER, NEUTRAL MOOD). International Journal of Engineering Sciences & Research Technology, 4(8), 136-140. https://www.europub.co.uk/articles/-A-127539