Design and build a software or product for Microsoft imagine cup 2024 (A)
Adolescence is a period acknowledged by physiological, emotional, and social changes, with mental disorders such as depression affecting one in seven individuals aged 10 to 19 globally. Neglecting adolescent mental health can have extensive consequences into adulthood, impacting both physical and me...
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| Format: | Final Year Project (FYP) |
| Language: | English |
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Nanyang Technological University
2024
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| Online Access: | https://hdl.handle.net/10356/176947 |
| _version_ | 1826129015290724352 |
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| author | Ding, Man |
| author2 | Wesley Tan Chee Wah |
| author_facet | Wesley Tan Chee Wah Ding, Man |
| author_sort | Ding, Man |
| collection | NTU |
| description | Adolescence is a period acknowledged by physiological, emotional, and social changes, with mental disorders such as depression affecting one in seven individuals aged 10 to 19 globally. Neglecting adolescent mental health can have extensive consequences into adulthood, impacting both physical and mental well-being. Some challenges of current mental health diagnosis and treatments involve the high cost of conventional consulting, the subjectivity of traditional mental health surveys, limited awareness in parents and schools, and a lack of early detection mechanisms for depression in teenagers. The primary objective of this project is to develop 'Mind Garden,' an affordable, objective, and proactive depression-detection software for individuals in their adolescence. Besides, building upon existing research on the positive relationship between school connectedness and mental health outcomes, this software is strategically designed to be deployed within educational environments. ‘Mind Garden’ leverages game development and Artificial Intelligence (AI) integration to analyze users' facial expressions, eye movements, and speech components during gameplay, generating a report suggesting the participant’s mental health status accordingly. In this paper, the development of the engaging 2-dimensional game, designed using Unity, and the construction of machine learning models for speech and voice analysis will be discussed in detail |
| first_indexed | 2024-10-01T07:33:57Z |
| format | Final Year Project (FYP) |
| id | ntu-10356/176947 |
| institution | Nanyang Technological University |
| language | English |
| last_indexed | 2024-10-01T07:33:57Z |
| publishDate | 2024 |
| publisher | Nanyang Technological University |
| record_format | dspace |
| spelling | ntu-10356/1769472024-05-24T15:44:13Z Design and build a software or product for Microsoft imagine cup 2024 (A) Ding, Man Wesley Tan Chee Wah School of Electrical and Electronic Engineering wesleytan@ntu.edu.sg Engineering Medicine, Health and Life Sciences Depression detection Game Machine learning Adolescence is a period acknowledged by physiological, emotional, and social changes, with mental disorders such as depression affecting one in seven individuals aged 10 to 19 globally. Neglecting adolescent mental health can have extensive consequences into adulthood, impacting both physical and mental well-being. Some challenges of current mental health diagnosis and treatments involve the high cost of conventional consulting, the subjectivity of traditional mental health surveys, limited awareness in parents and schools, and a lack of early detection mechanisms for depression in teenagers. The primary objective of this project is to develop 'Mind Garden,' an affordable, objective, and proactive depression-detection software for individuals in their adolescence. Besides, building upon existing research on the positive relationship between school connectedness and mental health outcomes, this software is strategically designed to be deployed within educational environments. ‘Mind Garden’ leverages game development and Artificial Intelligence (AI) integration to analyze users' facial expressions, eye movements, and speech components during gameplay, generating a report suggesting the participant’s mental health status accordingly. In this paper, the development of the engaging 2-dimensional game, designed using Unity, and the construction of machine learning models for speech and voice analysis will be discussed in detail Bachelor's degree 2024-05-23T07:33:58Z 2024-05-23T07:33:58Z 2024 Final Year Project (FYP) Ding, M. (2024). Design and build a software or product for Microsoft imagine cup 2024 (A). Final Year Project (FYP), Nanyang Technological University, Singapore. https://hdl.handle.net/10356/176947 https://hdl.handle.net/10356/176947 en B3280-231 application/pdf Nanyang Technological University |
| spellingShingle | Engineering Medicine, Health and Life Sciences Depression detection Game Machine learning Ding, Man Design and build a software or product for Microsoft imagine cup 2024 (A) |
| title | Design and build a software or product for Microsoft imagine cup 2024 (A) |
| title_full | Design and build a software or product for Microsoft imagine cup 2024 (A) |
| title_fullStr | Design and build a software or product for Microsoft imagine cup 2024 (A) |
| title_full_unstemmed | Design and build a software or product for Microsoft imagine cup 2024 (A) |
| title_short | Design and build a software or product for Microsoft imagine cup 2024 (A) |
| title_sort | design and build a software or product for microsoft imagine cup 2024 a |
| topic | Engineering Medicine, Health and Life Sciences Depression detection Game Machine learning |
| url | https://hdl.handle.net/10356/176947 |
| work_keys_str_mv | AT dingman designandbuildasoftwareorproductformicrosoftimaginecup2024a |