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SIM : smile intensity meter / by Rap Josua M. Perey and James Arvin D. Rozul.

By:

Perey, Rap Joshua [author]

Contributor(s):

Material type: Text

TextLanguage: English Publication details: Indang, Cavite : Cavite State University- Main Campus, 2017.Description: xiii, 62 pages : illustrations ; 28 cmContent type:

text

Media type:

unmediated

Carrier type:

volume

Subject(s):

DDC classification:

372.35 P41 2017

Online resources:

Click here to view the abstract and table of contents

Production credits:

College of Engineering, and Information Technology (CEIT)

Abstract: EREY, RAP JOSUA M. and ROZUL, JAMES ARVIN D. SIM: SMILE INTENSITY METER. Undergraduate Thesis. Bachelor of Science in Computer Science. Cavite State University, Indang, Cavite. April 2017. Adviser: Ms. Ria Clarisse L. Mojica. This study was conducted from June 2016 to March 2017 at Cavite State University - Main Campus. The purpose of the study was to lessen the boredom and frustration of a crowd by displaying their smile intensity using image processing. Extreme Programming was used as the methodology of the system. To implement the facial feature analysis of the system, the Luxand FaceSDK library was used. Eighty people from the crowd from the Land Transportation Office-Tagaytay and 20 collectively chosen students and faculty members of Department of Information Technology evaluated the system. The results were collected through an evaluation form based on ISO 9126. According to the overall evaluation results, the system was judged to be excellent in all software quality criteria such as functionality, reliability, usability, efficiency, maintainability, portability, and user-friendliness. Upon the completion of the study, the proponents concluded that this would be a solution for the common problems encountered by people waiting on long lines.

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Holdings ( 1 )
Title notes ( 5 )

Holdings
Item type	Current library	Collection	Call number	Materials specified	URL	Status	Notes	Date due	Barcode
Theses / Manuscripts	Ladislao N. Diwa Memorial Library Theses Section	Non-fiction	372.35 P41 2017 (Browse shelf(Opens below))		Link to resource	Room use only	T-7183		00011724

Thesis (Bachelor of Science in Computer Science) Cavite State University

Includes bibliographical references.

College of Engineering, and Information Technology (CEIT)

EREY, RAP JOSUA M. and ROZUL, JAMES ARVIN D. SIM: SMILE INTENSITY METER. Undergraduate Thesis. Bachelor of Science in Computer Science. Cavite State University, Indang, Cavite. April 2017. Adviser: Ms. Ria Clarisse L. Mojica.
This study was conducted from June 2016 to March 2017 at Cavite State University - Main Campus. The purpose of the study was to lessen the boredom and frustration of a crowd by displaying their smile intensity using image processing. Extreme Programming was used as the methodology of the system. To implement the facial feature analysis of the system, the Luxand FaceSDK library was used. Eighty people from the crowd from the Land Transportation Office-Tagaytay and 20 collectively chosen students and faculty members of Department of Information Technology evaluated the system. The results were collected through an evaluation form based on ISO 9126. According to the overall evaluation results, the system was judged to be excellent in all software quality criteria such as functionality, reliability, usability, efficiency, maintainability, portability, and user-friendliness. Upon the completion of the study, the proponents concluded that this would be a solution for the common problems encountered by people waiting on long lines.

Submitted to the University Library 8-4-2020 T-7183