3D printed wearable sensor with smart machine vision intelligence
Technological advancement enabled the creation of wearable devices and mobile applications to collect health data such as heart rate, body temperature and sleep patterns using various embedded sensors. Smartwatches and fitness trackers are becoming more popular nowadays because of the health trackin...
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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/10356/176829 |
| _version_ | 1811689887852658688 |
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| author | Yu, Chew Muang |
| author2 | Y. C. Chen |
| author_facet | Y. C. Chen Yu, Chew Muang |
| author_sort | Yu, Chew Muang |
| collection | NTU |
| description | Technological advancement enabled the creation of wearable devices and mobile applications to collect health data such as heart rate, body temperature and sleep patterns using various embedded sensors. Smartwatches and fitness trackers are becoming more popular nowadays because of the health tracking function. Aside from lifestyle purposes, there are also more wearable devices and mobile applications being developed for healthcare usages. Mobile applications with machine vision intelligence are able to provide more detailed analysis of medical test results. Furthermore, the continuous tracking of an individual’s health using wearable devices and mobile applications is a convenient way to keep one informed of their health. Medical professionals can also gain deeper insights to their patients’ health condition and create better treatment plans.
This project proposes the development of an Android application with image processing capability to perform image analysis of chemical dyes – Resazurin and Rhodamine 6G – reaction to the presence of target biomolecule. The Android application seeks to offer reliable colorimetric analysis of Resazurin and Rhodamine 6G after reaction with the biomolecule, which is otherwise hard to differentiate with the naked eye. The HSV colour values of an image of the resulting dye colours are analysed to differentiate the colours and determine one’s health condition. |
| first_indexed | 2024-10-01T05:55:15Z |
| format | Final Year Project (FYP) |
| id | ntu-10356/176829 |
| institution | Nanyang Technological University |
| language | English |
| last_indexed | 2024-10-01T05:55:15Z |
| publishDate | 2024 |
| publisher | Nanyang Technological University |
| record_format | dspace |
| spelling | ntu-10356/1768292024-05-24T15:43:32Z 3D printed wearable sensor with smart machine vision intelligence Yu, Chew Muang Y. C. Chen School of Electrical and Electronic Engineering yucchen@ntu.edu.sg Engineering Mobile app Wearable sensor Machine vision intelligence Image processing Android app Technological advancement enabled the creation of wearable devices and mobile applications to collect health data such as heart rate, body temperature and sleep patterns using various embedded sensors. Smartwatches and fitness trackers are becoming more popular nowadays because of the health tracking function. Aside from lifestyle purposes, there are also more wearable devices and mobile applications being developed for healthcare usages. Mobile applications with machine vision intelligence are able to provide more detailed analysis of medical test results. Furthermore, the continuous tracking of an individual’s health using wearable devices and mobile applications is a convenient way to keep one informed of their health. Medical professionals can also gain deeper insights to their patients’ health condition and create better treatment plans. This project proposes the development of an Android application with image processing capability to perform image analysis of chemical dyes – Resazurin and Rhodamine 6G – reaction to the presence of target biomolecule. The Android application seeks to offer reliable colorimetric analysis of Resazurin and Rhodamine 6G after reaction with the biomolecule, which is otherwise hard to differentiate with the naked eye. The HSV colour values of an image of the resulting dye colours are analysed to differentiate the colours and determine one’s health condition. Bachelor's degree 2024-05-20T00:40:12Z 2024-05-20T00:40:12Z 2024 Final Year Project (FYP) Yu, C. M. (2024). 3D printed wearable sensor with smart machine vision intelligence. Final Year Project (FYP), Nanyang Technological University, Singapore. https://hdl.handle.net/10356/176829 https://hdl.handle.net/10356/176829 en A2266-231 application/pdf Nanyang Technological University |
| spellingShingle | Engineering Mobile app Wearable sensor Machine vision intelligence Image processing Android app Yu, Chew Muang 3D printed wearable sensor with smart machine vision intelligence |
| title | 3D printed wearable sensor with smart machine vision intelligence |
| title_full | 3D printed wearable sensor with smart machine vision intelligence |
| title_fullStr | 3D printed wearable sensor with smart machine vision intelligence |
| title_full_unstemmed | 3D printed wearable sensor with smart machine vision intelligence |
| title_short | 3D printed wearable sensor with smart machine vision intelligence |
| title_sort | 3d printed wearable sensor with smart machine vision intelligence |
| topic | Engineering Mobile app Wearable sensor Machine vision intelligence Image processing Android app |
| url | https://hdl.handle.net/10356/176829 |
| work_keys_str_mv | AT yuchewmuang 3dprintedwearablesensorwithsmartmachinevisionintelligence |