| dc.contributor.advisor | Kabir, Ahmedul | |
| dc.contributor.author | Zaman, Mustafa | |
| dc.contributor.author | Islam, Iftekhairul | |
| dc.date.accessioned | 2010-12-09T05:01:07Z | |
| dc.date.available | 2010-12-09T05:01:07Z | |
| dc.date.copyright | 2009 | |
| dc.date.issued | 2009-04 | |
| dc.identifier.other | ID 03201053 | |
| dc.identifier.other | ID 03201033 | |
| dc.identifier.uri | http://hdl.handle.net/10361/679 | |
| dc.description | This thesis report is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2009. | en_US |
| dc.description | Cataloged from PDF version of thesis report. | |
| dc.description | Includes bibliographical references (page 29). | |
| dc.description.abstract | Recent technological advances have enabled human users to interact with computers in ways previously unimaginable. The aim our thesis is to find out a system where computer can communicate with human more efficiently and more friendly. For that purpose we do studies various possible ways for a computer to communicant with human with limited recourses. In this paper we are trying to describe various algorithms and processes that have been studied all around the world. We also discuss the difficult issues of obtaining reliable affective data, obtaining ground truth for emotion recognition, and the use of unlabeled data. | en_US |
| dc.description.statementofresponsibility | Mustafa Zaman | |
| dc.description.statementofresponsibility | Iftekhairul Islam | |
| dc.format.extent | 37 pages | |
| dc.language.iso | en | en_US |
| dc.publisher | BRAC University | en_US |
| dc.rights | BRAC University thesis are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. | |
| dc.subject | Emotional recognition | en_US |
| dc.subject | FACS | en_US |
| dc.subject | Optical Flow | en_US |
| dc.subject | Rule-based | en_US |
| dc.subject | Multimodal approaches | en_US |
| dc.subject | Computer science and engineering | |
| dc.title | Comparative analysis of emotion recognition methods | en_US |
| dc.type | Thesis | en_US |
| dc.contributor.department | Department of Computer Science and Engineering, BRAC University | |
| dc.description.degree | B. Computer Science and Engineering | |
