Welcome To UTPedia

We would like to introduce you, the new knowledge repository product called UTPedia. The UTP Electronic and Digital Intellectual Asset. It stores digitized version of thesis, dissertation, final year project reports and past year examination questions.

Browse content of UTPedia using Year, Subject, Department and Author and Search for required document using Searching facilities included in UTPedia. UTPedia with full text are accessible for all registered users, whereas only the physical information and metadata can be retrieved by public users. UTPedia collaborating and connecting peoples with university’s intellectual works from anywhere.

Disclaimer - Universiti Teknologi PETRONAS shall not be liable for any loss or damage caused by the usage of any information obtained from this web site.Best viewed using Mozilla Firefox 3 or IE 7 with resolution 1024 x 768.

HUMAN MOOD DETECTOR BY USING DIGITAL IMAGE PROCESSING

ALI, NOORAZLIN (2006) HUMAN MOOD DETECTOR BY USING DIGITAL IMAGE PROCESSING. Universiti Teknologi Petronas. (Unpublished)

[img] PDF
Download (3073Kb)

Abstract

The human face provides the most salient clue to person's emotional state. The face expressions are recognized -usingfeataies sueii as eye, eyebrow, mouth or nose. These features play a vital role in human mood recognition. This project, which is named as 'Human Mood Detector', will be recognizing a set of emotions, which consists of angry, sad and happy, requiring vast of knowledge in Digital Image Processing. These projects ate divided into two categories, software development in the first semester, and implementation in the next semester. The identification of& person's mood is based on input from digital camera. Then, the input image will be undergo digitization, noise removal, resizing, format transformation, contrast enhancement, segmentation and feature extraction. Veatuie extraction is a crucial stage in this system; since at this stage; the important feature information from the image will be extracted, which will lead to the desired result A few distinct criteria that will distinguish the emotion are recognized, using segmented images of mouth, forehead or eye shape. These distinct criteria will he used to develop an algorithm that differentiates all the three emotions described before. To classify a person's mood, a similarity matching procedure will be performed from the input image whereby the input will be matched with the set of criteriathat has been classified in the program. Thirty images nmU be Tased in the second semester ^witfe different set of mood for testing. If, the eKtracted information falls within the classified features of a certain mood, the mood of the person will be identified. Identification result will be presented at the end withthe probability. Thetheory, concept, proposed methodology as well as softwaredevelopment (coding) arerepresented in this report.

Item Type: Final Year Project
Academic Subject : Academic Department - Electrical And Electronics - Pervasisve Systems - Digital Electronics - Test and Reliablity
Subject: T Technology > TK Electrical engineering. Electronics Nuclear engineering
Divisions: Engineering > Electrical and Electronic
Depositing User: Users 2053 not found.
Date Deposited: 27 Sep 2013 11:04
Last Modified: 25 Jan 2017 09:46
URI: http://utpedia.utp.edu.my/id/eprint/6982

Actions (login required)

View Item View Item

Document Downloads

More statistics for this item...