3D HMM-based Facial Expression Recognition using Histogram of Oriented Optical Flow
Journal Title: Transactions on Machine Learning and Artificial Intelligence - Year 2015, Vol 3, Issue 6
Abstract
In this paper, we propose a 3D HMM (Three-dimensional Hidden Markov Models) approach to recognizing human facial expressions and associated emotions. Human emotion is usually classified by psychologists into six categories: Happiness, Sadness, Anger, Fear, Disgust and Surprise. Further, psychologists categorize facial movements based on the muscles that produce those movements using a Facial Action Coding System (FACS). We look beyond pure muscle movements and investigate facial features – brow, mouth, nose, eye height and facial shape – as a means of determining associated emotions. Histogram of Optical Flow is used as the descriptor for extracting and describing the key features, while training and testing are performed on 3D Hidden Markov Models. Experiments on datasets show our approach is promising and robust.
Authors and Affiliations
Sheng H. Kung, Mohamed Zohdy, Djamel Bouchaffra
Keywords
Related Articles
- EP ID EP278793
- DOI 10.14738/tmlai.36.1661
- Views 53
- Downloads 0
Automatic Tool Selection System based on STEP_NC and ISO13399 Standards
Computer Aided Process Planning (CAPP) is considered as an essential component of Computer Integrated manufacturing (CIM) environment and it is an important interface between Computer Aided Design (CAD) and Computer Aide...
Bilingual Information Hiding System: A Formalized Approach
Steganography and cryptography are used to maintain privacy and security over communication channels. Due to their complexity and diversity, there is a need for their continuous improvements. In this paper, we consider s...
Phishing Websites Detection Using Data Mining Classification Model
Phishing is a significant security threat to the Internet; it is an electronic online identity theft in which the attackers use spoofing techniques like fake websites that mimic legal websites to trick users into reveali...
Semantic Web Service Discovery Framework using Multi-Agents System and NLP Techniques
As a consequently increase amount of web services available on the web, automatic discovery presents a great challenge, in order to satisfy this requirement, semantic discovery approaches based on ontologies have been de...
SIMACoop: a Framework Application for the Governance of University Cooperation
The management of the cooperation is the process of establishing and ensuring the continuation of constructive and productive relations, consistent with partners. It requires the allocation of time and resources needed t...