alexa Intelligent web inference model based facial micro emotion detection for media store playback using artificial feed forward neural network and facial coordinate matrix | Abstract

Biomedical Research
Open Access

OMICS International organises 3000+ Global Conferenceseries Events every year across USA, Europe & Asia with support from 1000 more scientific Societies and Publishes 700+ Open Access Journals which contains over 50000 eminent personalities, reputed scientists as editorial board members.

Open Access Journals gaining more Readers and Citations

700 Journals and 15,000,000 Readers Each Journal is getting 25,000+ Readers

This Readership is 10 times more when compared to other Subscription Journals (Source: Google Analytics)

Research Article Open Access


The problem of facial emotion detection has been approached by various methods in several articles but suffers from the problem of poor accuracy in detecting the facial emotion. The psychological condition of any human can be obtained by facial emotions or facial reactions, which helps to solve various problems. To solve the issue of facial emotion detection, in this paper an intelligent fuzzification model is described which uses the artificial feed forward neural network and facial coordinate matrix. More than our previous methods, the proposed method considers the facial coordination matrix which stores the coordinate point of different facial components extracted at different facial emotions considered. The method extracts the facial features and computes various measures of facial features like eye size, lip sizes, nose size, and chin size. With the above-mentioned features, the method extracts the coordinate points of skin at different emotional situations. The extracted features are used to construct the neural network and the feed forward model computes various measures by each neuron and forwards them to the next layer. At each layer, the neuron computes multi-variant emotion support for each facial emotion and forwards them to the next layer. Finally, a single emotion is selected according to the computed measure based on fuzzy approach. Identified emotion is used to play songs and videos from the media store available on the server. The proposed fuzzification based method improves the performance of facial emotion detection in micro level with more accuracy.

To read the full article Peer-reviewed Article PDF image | Peer-reviewed Full Article image

Author(s): Ashok Krishna EM Dinakaran K


Facial emotion detection, Facial coordinate matrix, Artificial neural network (ANN), Feed forward model, WIM, #

OMICS International Journals
Make the best use of Scientific Research and information from our 700 + peer reviewed, Open Access Journals
International Conferences 2017-18
Meet Inspiring Speakers and Experts at our 3000+ Global Annual Meetings

Contact Us

Agri, Food, Aqua and Veterinary Science Journals

Dr. Krish

1-702-714-7001 Extn: 9040

Clinical and Biochemistry Journals

Datta A

1-702-714-7001Extn: 9037

Business & Management Journals


1-702-714-7001Extn: 9042

Chemical Engineering and Chemistry Journals

Gabriel Shaw

1-702-714-7001 Extn: 9040

Earth & Environmental Sciences

Katie Wilson

1-702-714-7001Extn: 9042

Engineering Journals

James Franklin

1-702-714-7001Extn: 9042

General Science and Health care Journals

Andrea Jason

1-702-714-7001Extn: 9043

Genetics and Molecular Biology Journals

Anna Melissa

1-702-714-7001 Extn: 9006

Immunology & Microbiology Journals

David Gorantl

1-702-714-7001Extn: 9014

Informatics Journals

Stephanie Skinner

1-702-714-7001Extn: 9039

Material Sciences Journals

Rachle Green

1-702-714-7001Extn: 9039

Mathematics and Physics Journals

Jim Willison

1-702-714-7001 Extn: 9042

Medical Journals

Nimmi Anna

1-702-714-7001 Extn: 9038

Neuroscience & Psychology Journals

Nathan T

1-702-714-7001Extn: 9041

Pharmaceutical Sciences Journals

John Behannon

1-702-714-7001Extn: 9007

Social & Political Science Journals

Steve Harry

1-702-714-7001 Extn: 9042

© 2008-2017 OMICS International - Open Access Publisher. Best viewed in Mozilla Firefox | Google Chrome | Above IE 7.0 version