Mobile vision-based rehabilitation system for upper limb exercises
In a world where technology is advancing rapidly, every industry must keep up to new standards. The medical field has benefited from this rapid advancement in technology, and it has helped provide digital solutions to many healthcare problems. This project explores the design of an Android Mobile De...
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Nanyang Technological University
2021
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sg-ntu-dr.10356-1480952021-04-23T12:57:12Z Mobile vision-based rehabilitation system for upper limb exercises Choo, Calvin Zhe Kai Goh Wooi Boon School of Computer Science and Engineering ASWBGOH@ntu.edu.sg Engineering::Computer science and engineering In a world where technology is advancing rapidly, every industry must keep up to new standards. The medical field has benefited from this rapid advancement in technology, and it has helped provide digital solutions to many healthcare problems. This project explores the design of an Android Mobile Device (smartphone or tablet)-Based System that uses the built-in camera to monitor and measure the incremental movement capabilities of stroke patients, as they use the system in a home setting. Bachelor of Engineering (Computer Engineering) 2021-04-23T12:57:11Z 2021-04-23T12:57:11Z 2021 Final Year Project (FYP) Choo, C. Z. K. (2021). Mobile vision-based rehabilitation system for upper limb exercises. Final Year Project (FYP), Nanyang Technological University, Singapore. https://hdl.handle.net/10356/148095 https://hdl.handle.net/10356/148095 en SCSE20-443 application/pdf Nanyang Technological University |
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Engineering::Computer science and engineering Choo, Calvin Zhe Kai Mobile vision-based rehabilitation system for upper limb exercises |
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In a world where technology is advancing rapidly, every industry must keep up to new standards. The medical field has benefited from this rapid advancement in technology, and it has helped provide digital solutions to many healthcare problems. This project explores the design of an Android Mobile Device (smartphone or tablet)-Based System that uses the built-in camera to monitor and measure the incremental movement capabilities of stroke patients, as they use the system in a home setting. |
author2 |
Goh Wooi Boon |
author_facet |
Goh Wooi Boon Choo, Calvin Zhe Kai |
format |
Final Year Project |
author |
Choo, Calvin Zhe Kai |
author_sort |
Choo, Calvin Zhe Kai |
title |
Mobile vision-based rehabilitation system for upper limb exercises |
title_short |
Mobile vision-based rehabilitation system for upper limb exercises |
title_full |
Mobile vision-based rehabilitation system for upper limb exercises |
title_fullStr |
Mobile vision-based rehabilitation system for upper limb exercises |
title_full_unstemmed |
Mobile vision-based rehabilitation system for upper limb exercises |
title_sort |
mobile vision-based rehabilitation system for upper limb exercises |
publisher |
Nanyang Technological University |
publishDate |
2021 |
url |
https://hdl.handle.net/10356/148095 |
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1698713656377737216 |