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Forhue: an assistive mobile application for color - blind individuals using KNN algorithm. 6

By: Banez, Crystal Mae M., Poso, Raseck Kiel D., Tavas, Ella Micca B. 4 0 16, [, ] | [, ] |

Contributor(s): 5 6 [] |

Language: Unknown language code Summary language: Unknown language code Original language: Unknown language code Series: ; 4492746Edition: Description: Content type: text Media type: unmediated Carrier type: volumeISBN: ISSN: 2Other title: 6 []Uniform titles: | | Related works: 1 40 6 []Subject(s): -- 2 -- 0 -- -- | -- 2 -- 0 -- 6 -- | 2 0 -- | -- -- 20 -- | | -- -- -- -- 20 -- | -- -- -- 20 -- --Genre/Form: -- 2 -- Additional physical formats: DDC classification: | LOC classification: | | 2Other classification:

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Action note: In: Summary: ABSTRACT: In this research project, color blindness, a worldwide occurrence and the most common type of blindness, hs been chosen as the subject. It is a condition in which an individual has difficulty seeing accurate hues. This poses a problem for color-blind individuals, especially younger ones, whenever they travel or engage in activities that require distinguishing colors. For instance, identifying the colors of fruits and toys for younger color-blind individuals while encountering traffic lights on the road or distinguishing color-coded signs for the majority of color-blind people can be stressful or burdensome. As a result, the researchers felt motivated to develop a mobile application that identifies colors for color-blind individuals. The paper was titled ForHue: An Assistive Mobile Application for Color-Blind People Using KNN Algorithm. It utilizes the KNN algorithm Weka Java API for color recognition and OpenCV for camera access in the Java-based mobile application. The datasets use K+1 as the K-value in Camera Live Portion and K=5 as the K-value in Upload Portion. The application meets the project's goals, including 1) using the KNN algorithm and OpenCV for color detection; 2) assistive features such as TTS, several camera settings (pause, resume, flip, resolution), crop implementation in upload part and color naming; and 3) Compliance with ISO 9241-11's standards. Our project provides solutions to our problem statement as a result. With a score of 71.67, the SUS survey revealed that the application met the ISO standard for effectiveness, efficiency, and satisfaction with a good rating. Other editions:

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Item type	Current location	Home library	Collection	Call number	Status	Date due	Barcode	Item holds
Book	PLM	PLM Filipiniana Section	Filipiniana-Thesis	T T58.5.B34.2023 (Browse shelf)	Available		FT7687

Total holds: 0

Undergraduate Thesis (BS in Information Technology) - Pamantasan ng Lungsod ng Maynila, 2023. 56

ABSTRACT: In this research project, color blindness, a worldwide occurrence and the most common type of blindness, hs been chosen as the subject. It is a condition in which an individual has difficulty seeing accurate hues. This poses a problem for color-blind individuals, especially younger ones, whenever they travel or engage in activities that require distinguishing colors. For instance, identifying the colors of fruits and toys for younger color-blind individuals while encountering traffic lights on the road or distinguishing color-coded signs for the majority of color-blind people can be stressful or burdensome. As a result, the researchers felt motivated to develop a mobile application that identifies colors for color-blind individuals. The paper was titled ForHue: An Assistive Mobile Application for Color-Blind People Using KNN Algorithm. It utilizes the KNN algorithm Weka Java API for color recognition and OpenCV for camera access in the Java-based mobile application. The datasets use K+1 as the K-value in Camera Live Portion and K=5 as the K-value in Upload Portion. The application meets the project's goals, including 1) using the KNN algorithm and OpenCV for color detection; 2) assistive features such as TTS, several camera settings (pause, resume, flip, resolution), crop implementation in upload part and color naming; and 3) Compliance with ISO 9241-11's standards. Our project provides solutions to our problem statement as a result. With a score of 71.67, the SUS survey revealed that the application met the ISO standard for effectiveness, efficiency, and satisfaction with a good rating.

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