MARC details
| 000 -LEADER |
|---|
| fixed length control field |
01904nam a2200241 4500 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION |
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| fixed length control field |
250513t2019 bx a|||| |||| 00| 0deng d |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
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| Qualifying information |
hardback |
| 040 ## - CATALOGING SOURCE |
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| Original cataloging agency |
Universiti Teknologi Brunei |
| Language of cataloging |
eng |
| Transcribing agency |
UTB |
| 084 ## - BOOK Call Number |
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| Classification number |
UTB 120 REPORT THESIS & DISSERTATION |
| -- |
RTDS 272 |
| 100 1# - MAIN ENTRY--PERSONAL NAME |
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| Personal name |
Manilitphone Thephavanh |
| Relator term |
author |
| 245 10 - TITLE STATEMENT |
|---|
| Title |
Emotion Analysis / |
| Statement of responsibility, etc. |
Manilitphone Thephavanh |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT) |
|---|
| Place of publication, distribution, etc. |
Bandar Seri Begawan : |
| Name of publisher, distributor, etc. |
Universiti Teknologi Brunei , |
| Date of publication, distribution, etc. |
©2019 |
| 300 ## - PHYSICAL DESCRIPTION |
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| Extent |
ix, 53 pages : |
| Other physical details |
color illustrations ; |
| Dimensions |
30 cm |
| 500 ## - GENERAL NOTE |
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| General note |
Report submitted for the degree of BCs in Creative Multimedia Universiti Teknologi Brunei |
| 500 ## - GENERAL NOTE |
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| General note |
Abstract<br/><br/>Emotion analysis is useful for many applications dealing with human emotions. A lot of time consuming in order to find the best practice and algorithm for emotion classification, detection and prediction because the analysis can be done in several techniques such as using Ekman's Facial Action Coding System (FACS), Geometric Feature, MPEG 4, facial landmarks detection by Dlib, etc. However, it's hard to achieve high accurate result with certain database and learning tools. This analysis purpose to explore and experiment various of machine learning techniques that can outcome with accuracy results for each technique in a certain condition. By using the Extended Cohn-Kanade Dataset (CK+) with appropriate data mining tool will help to analyze universal of human emotions and result with reasonable accuracy. This analysis focusing on facial landmarks features in order to classify different types of emotion. |
| 504 ## - Bibliography, Etc. Note |
|---|
| Bibliography, Etc. Note |
Includes bibliographical references |
| 610 #4 - SUBJECT ADDED ENTRY--CORPORATE NAME |
|---|
| Form subdivision |
Report |
| Corporate name or jurisdiction name as entry element |
Universiti Teknologi Brunei |
| 650 #4 - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name entry element |
Emotions |
| General subdivision |
Research |
| 650 #4 - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name entry element |
Emotions |
| General subdivision |
Psychological aspects |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) |
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| Source of classification or shelving scheme |
Local Classification |
| Suppress in OPAC |
No |
| Koha item type |
Reports, Thesis & Dissertation Students |
| 998 ## - LOCAL CONTROL INFORMATION (RLIN) |
|---|
| Internal field |
Report, Thesis & Dissertation |
| CC (RLIN) |
850448 : 002029 c.1_UTB |
| 998 ## - LOCAL CONTROL INFORMATION (RLIN) |
|---|
| Internal field |
CD-ROM |
| CC (RLIN) |
850449 : CD No. RTDS CD 23 UTB |
