Immersive AR pet game with hand motion
This project aims to provide an engaging and interactive solution for individuals who desire the experience of owning a pet but cannot do so due to various constraints. The project will leverage Augmented Reality (AR) technology to create a virtual pet-raising game that offers a realistic and immers...
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| Format: | Final Year Project / Dissertation / Thesis |
| Published: |
2023
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| Online Access: | http://eprints.utar.edu.my/6033/ http://eprints.utar.edu.my/6033/1/fyp_CS_2023_CJV.pdf |
| _version_ | 1848886569796108288 |
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| author | Chong, Jing Voon |
| author_facet | Chong, Jing Voon |
| author_sort | Chong, Jing Voon |
| building | UTAR Institutional Repository |
| collection | Online Access |
| description | This project aims to provide an engaging and interactive solution for individuals who desire the experience of owning a pet but cannot do so due to various constraints. The project will leverage Augmented Reality (AR) technology to create a virtual pet-raising game that offers a realistic and immersive experience. The game will incorporate hand-detection technology to enable intuitive interactions with virtual pets. ARCore, Unity and ManoMotion will be the primary game development tools. ARCore is compatible with most mobile devices. It uses the device's camera and internal sensor to detect the position and orientation of the environment, estimates light conditions and compute location changes. With these capabilities, ARCore can seamlessly blend virtual objects with the real world. Unity provides a cross-platform development environment for AR applications that run on different devices with varying capabilities. ManoMotion is a hand-tracking software that uses machine learning algorithms to track and recognise hand movements in real-time. It captures the hand movements using a camera and analyses the data to identify various gestures made by the user's hand. The software provides position coordinates and rotation values in three-dimensional space and distinguishes between left and right hands. ManoMotion provides gesture analysis to interpret users' intentions, allowing developers to create customised experiences catering to different behaviours. |
| first_indexed | 2025-11-15T19:40:35Z |
| format | Final Year Project / Dissertation / Thesis |
| id | utar-6033 |
| institution | Universiti Tunku Abdul Rahman |
| institution_category | Local University |
| last_indexed | 2025-11-15T19:40:35Z |
| publishDate | 2023 |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | utar-60332024-01-02T14:44:04Z Immersive AR pet game with hand motion Chong, Jing Voon SF Animal culture T Technology (General) TD Environmental technology. Sanitary engineering This project aims to provide an engaging and interactive solution for individuals who desire the experience of owning a pet but cannot do so due to various constraints. The project will leverage Augmented Reality (AR) technology to create a virtual pet-raising game that offers a realistic and immersive experience. The game will incorporate hand-detection technology to enable intuitive interactions with virtual pets. ARCore, Unity and ManoMotion will be the primary game development tools. ARCore is compatible with most mobile devices. It uses the device's camera and internal sensor to detect the position and orientation of the environment, estimates light conditions and compute location changes. With these capabilities, ARCore can seamlessly blend virtual objects with the real world. Unity provides a cross-platform development environment for AR applications that run on different devices with varying capabilities. ManoMotion is a hand-tracking software that uses machine learning algorithms to track and recognise hand movements in real-time. It captures the hand movements using a camera and analyses the data to identify various gestures made by the user's hand. The software provides position coordinates and rotation values in three-dimensional space and distinguishes between left and right hands. ManoMotion provides gesture analysis to interpret users' intentions, allowing developers to create customised experiences catering to different behaviours. 2023-06 Final Year Project / Dissertation / Thesis NonPeerReviewed application/pdf http://eprints.utar.edu.my/6033/1/fyp_CS_2023_CJV.pdf Chong, Jing Voon (2023) Immersive AR pet game with hand motion. Final Year Project, UTAR. http://eprints.utar.edu.my/6033/ |
| spellingShingle | SF Animal culture T Technology (General) TD Environmental technology. Sanitary engineering Chong, Jing Voon Immersive AR pet game with hand motion |
| title | Immersive AR pet game with hand motion |
| title_full | Immersive AR pet game with hand motion |
| title_fullStr | Immersive AR pet game with hand motion |
| title_full_unstemmed | Immersive AR pet game with hand motion |
| title_short | Immersive AR pet game with hand motion |
| title_sort | immersive ar pet game with hand motion |
| topic | SF Animal culture T Technology (General) TD Environmental technology. Sanitary engineering |
| url | http://eprints.utar.edu.my/6033/ http://eprints.utar.edu.my/6033/1/fyp_CS_2023_CJV.pdf |