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Convey: Developing a facial emotion recognition system for enhancing interpersonal interactions of children with autism spectrum disorders / Fernandez, Janah Rose R.; Magparangalan, Brigette Anne P.; Pades, Knet Joaquin B. 6

By: Fernandez, Janah Rose R.; Magparangalan, Brigette Anne P.; Pades, Knet Joaquin B. 4 0 16, [, ] | [, ] |

Contributor(s): 5 6 [] |

Language: Unknown language code Summary language: Unknown language code Original language: Unknown language code Series: ; January 2024.46Edition: Description: 28 cm. viii, 87 ppContent 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:

Contents:

Action note: In: Summary: ABSTRACT: Children with Autism Spectrum Disorder (ASD) oftentimes have difficulty in both interpersonal and intrapersonal interactions. Most children with ASD lack emotional intelligence and cannot properly comprehend social cues and response of the people around them. These social impairements are causing them to have difficulty in maintaining relationships thus, to combat these issues, the researhers presented an application with Facial Emotion Recognition (FER) technology using the deep-learning approach namely Convolutional Neural Network (CNN). Using the FER allows the children to perceive the emotions of their interaction partner at face value. The model used in developing the application sits at an accuracy level of 98%. In addition to the FER technology, the research implements a kind of mood meter that enables the children to plot their mood and a dashboard that tracks the accumulated plots. The tracker lets the children convey their emotions as well as help their interaction partner to understand them better. The quality of the Convey application was ensured by using the ISO 25010 Quality Assurance Model. By handpicking four of the model's categories named, functional suitability, performance efficiency, usability, and reliability, the researchers ensured that the application performs as specified. The researchers used a survey evaluation form that is limited to the population of children within the age range of 8 to 17 years old with ASD level 1 to 2. The survey resulted in an overall mean of 3.88 receiving a Very Satisfactory remark. By employing the ISO 25010 guidelines, the researchers proved that the application successfully implemented the objectives. Furthermore, the application includes a recommendation system that suggests various relaxation and meditation techniques that the child can use to manage outbursts or spontaneous emotional activity. The Convey mobile application aimed to empower children that ASD and help them lead a normal life. 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 T58.64.F47 2024 (Browse shelf)	Available		FT7784

Total holds: 0

Undergraduate Thesis: (Bachelor of Science in Information Technology) - Pamantasan ng Lungsod ng Maynila, 2024. 56

ABSTRACT: Children with Autism Spectrum Disorder (ASD) oftentimes have difficulty in both interpersonal and intrapersonal interactions. Most children with ASD lack emotional intelligence and cannot properly comprehend social cues and response of the people around them. These social impairements are causing them to have difficulty in maintaining relationships thus, to combat these issues, the researhers presented an application with Facial Emotion Recognition (FER) technology using the deep-learning approach namely Convolutional Neural Network (CNN). Using the FER allows the children to perceive the emotions of their interaction partner at face value. The model used in developing the application sits at an accuracy level of 98%. In addition to the FER technology, the research implements a kind of mood meter that enables the children to plot their mood and a dashboard that tracks the accumulated plots. The tracker lets the children convey their emotions as well as help their interaction partner to understand them better. The quality of the Convey application was ensured by using the ISO 25010 Quality Assurance Model. By handpicking four of the model's categories named, functional suitability, performance efficiency, usability, and reliability, the researchers ensured that the application performs as specified. The researchers used a survey evaluation form that is limited to the population of children within the age range of 8 to 17 years old with ASD level 1 to 2. The survey resulted in an overall mean of 3.88 receiving a Very Satisfactory remark. By employing the ISO 25010 guidelines, the researchers proved that the application successfully implemented the objectives. Furthermore, the application includes a recommendation system that suggests various relaxation and meditation techniques that the child can use to manage outbursts or spontaneous emotional activity. The Convey mobile application aimed to empower children that ASD and help them lead a normal life.

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