Real Time Facial Emotion Recognition using Kinect V2 Sensor

Journal Title: IOSR Journals (IOSR Journal of Computer Engineering) - Year 2015, Vol 17, Issue 3

Abstract

 Abstract: The emotional facial expression is an important element in human communication, along with otherforms of non-verbal communication, such as gestures and postures. The human facial expression, with itscunning and moment movements, carries an amazing amount of information that can reflect emotional feelings.Observing people’s facial expressions can help a person understand their emotions. The new technologyprovided today for capturing the facial expressions, with rapid, high resolution image acquisition, helps us toanalyze and recognize in real time the true facial emotions. This can be useful in many real time applications,like airport security, trading (the customer's feeling about a product), patient monitoring, and others.In thispaper, we focus on the emotion recognition from facial expressions by using Microsoft Kinect for Windowssensor V2 and the face tracking SDK to recognize eight expressions. The implementation of our emotionrecognition application was made with Visual Studio 2013 (C++) and Matlab 2014.

Authors and Affiliations

Hesham A. Alabbasi , Prof. Florica Moldoveanu , Prof. Alin Moldoveanu

Keywords

Related Articles

 Design of Non-pipelined LC3 RISC Microcontroller

 Abstract:This paper highlights the designingof data and control path of a non-pipelined LC3 microcontroller with a 16 bit Reduced instruction set. The designing was done using a Hardware Descriptive Language (HDL)...

Analysis of Various Recommendation Systems

Abstract: In today’s world the only way to catch and keep user’s attention to one’s website is to provide them with the recommendation list to match the needs of user. In this paper the most popular and widely used recom...

Automatic Detection of Non-Proliferative Diabetic Retinopathy Using Fundus Images

 Abstract: To diagnosis of Diabetic Retinopathy (DR) it is the prime cause of blindness in the working age population of the world. Detection method is proposed to detect dark or red lesions such as microaneurysms a...

An Efficient Test Data Generation Approach for Unit Testing

Abstract: To ensure the delivery of high-quality software, software testing plays the vital role. One of the major time-consuming and expensive activities in software testing is the generation of test data. Test data gen...

 ASRMalNets: Acknowledgement Based Secure Routing Scheme for Malicious MANETs

 Abstract: A m o b i l e ad hoc network is a wireless commu- nication network, where communicating nodes are notwithin direct transmission range of each other. Since the radio links between t h e nodes b r e a k fre...

Download PDF file
  • EP ID EP148126
  • DOI -
  • Views 154
  • Downloads 0

How To Cite

Hesham A. Alabbasi, Prof. Florica Moldoveanu, Prof. Alin Moldoveanu (2015).  Real Time Facial Emotion Recognition using Kinect V2 Sensor. IOSR Journals (IOSR Journal of Computer Engineering), 17(3), 61-68. https://europub.co.uk/articles/-A-148126