Development of Hands2Speech : A Hand Gesture Recognition Android-Based Application / John Rafael D. Padillo, Cendrick S. Pascual, Jeric B. Pineda.

By:

Padillo, John Rafael D

Contributor(s):

Material type: Text

TextManila : Technological University Of the Philippines, 2018Description: 63 pages : illustrations ; 28 cm. + 1 CD-ROM (4 3/4 in.)Content type:

text

Media type:

unmediated

Carrier type:

volume

Subject(s):

LOC classification:

BTH QA 76 P33 2018

Dissertation note: College of Science -- Bachelor of Science in Computer Science, Technological University of the Philippines, 2018. Abstract: The Hand2Speech: A Hand Gesture Recognition Android-Based Application was developed to aid persons with disabilities as well the ones without disability. Its objectives are (a) to be able to detect the hand (b) Recognize certain Hand gesture (c) Train Hand gesture (d) convert the hand gesture into speech using the API Text to Speech. The Application was built using Android Studio an Integrated Development Environment for Java. It was evaluated by 30 respondents consist of Bachelor of Science in Information Technology (BIT), Bachelor of Science in Computer Science(BSCS) and Bachelor of Science in Information System(BSIS) students from the Technological University of the Philippines (TUP) using ISO 25010 evaluation instrument to assess the acceptability of the application. The weighted frequency rating (46.23%) was interpreted as Acceptable.--Author's Abstract

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Holdings
Item type	Current library	Shelving location	Call number	Copy number	Status	Notes	Date due	Barcode
Bachelor's Thesis COS	TUP Manila Library	Thesis Section-2nd floor	BTH QA 76 P33 2018 (Browse shelf(Opens below))	c.1	Not for loan	For Room Use Only		BTH0003012

Thesis (Undergraduate)

College of Science --
Bachelor of Science in Computer Science,
Technological University of the Philippines,
2018.

Includes bibliographical references.

The Hand2Speech: A Hand Gesture Recognition Android-Based Application was developed to aid persons with disabilities as well the ones without disability. Its objectives are (a) to be able to detect the hand (b) Recognize certain Hand gesture (c) Train Hand gesture (d) convert the hand gesture into speech using the API Text to Speech. The Application was built using Android Studio an Integrated Development Environment for Java. It was evaluated by 30 respondents consist of Bachelor of Science in Information Technology (BIT), Bachelor of Science in Computer Science(BSCS) and Bachelor of Science in Information System(BSIS) students from the Technological University of the Philippines (TUP) using ISO 25010 evaluation instrument to assess the acceptability of the application. The weighted frequency rating (46.23%) was interpreted as Acceptable.--Author's Abstract

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