Ergowell: enhancing workplace ergonomics through mobile application development
This project presents the development and evaluation of a mobile application that is designed to address poor workplace ergonomics, to reduce prevalence of musculoskeletal disorders in the Singaporean working population. The mobile application integrates machine learning together with ergonomic reso...
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Nanyang Technological University
2024
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sg-ntu-dr.10356-1757152024-05-10T15:33:00Z Ergowell: enhancing workplace ergonomics through mobile application development Fairose Farveen D/O S Nazeer Hussain Pui Tze Sian School of Chemistry, Chemical Engineering and Biotechnology tspui@ntu.edu.sg Engineering Mobile application Workplace ergonomics Musculoskeletal disorders Machine learning This project presents the development and evaluation of a mobile application that is designed to address poor workplace ergonomics, to reduce prevalence of musculoskeletal disorders in the Singaporean working population. The mobile application integrates machine learning together with ergonomic resources such as articles, videos, and demonstrations to promote ergonomic awareness and facilitate corrective action. A pre-survey was conducted to identify ergonomic gaps and needs in working adults, to determine the application’s content. Subsequently, a post-survey was employed to assess usability, effectiveness, and user satisfaction. Survey results revealed a high satisfaction rate, with over 90% of respondents expressing satisfaction with the application’s features, effectiveness, and usability. These results highlight the mobile application's ability to successfully address ergonomic issues and enhance the wellbeing of Singaporean workers. Bachelor's degree 2024-05-06T00:07:41Z 2024-05-06T00:07:41Z 2024 Final Year Project (FYP) Fairose Farveen D/O S Nazeer Hussain (2024). Ergowell: enhancing workplace ergonomics through mobile application development. Final Year Project (FYP), Nanyang Technological University, Singapore. https://hdl.handle.net/10356/175715 https://hdl.handle.net/10356/175715 en application/pdf Nanyang Technological University |
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Engineering Mobile application Workplace ergonomics Musculoskeletal disorders Machine learning Fairose Farveen D/O S Nazeer Hussain Ergowell: enhancing workplace ergonomics through mobile application development |
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This project presents the development and evaluation of a mobile application that is designed to address poor workplace ergonomics, to reduce prevalence of musculoskeletal disorders in the Singaporean working population. The mobile application integrates machine learning together with ergonomic resources such as articles, videos, and demonstrations to promote ergonomic awareness and facilitate corrective action. A pre-survey was conducted to identify ergonomic gaps and needs in working adults, to determine the application’s content. Subsequently, a post-survey was employed to assess usability, effectiveness, and user satisfaction. Survey results revealed a high satisfaction rate, with over 90% of respondents expressing satisfaction with the application’s features, effectiveness, and usability. These results highlight the mobile application's ability to successfully address ergonomic issues and enhance the wellbeing of Singaporean workers. |
author2 |
Pui Tze Sian |
author_facet |
Pui Tze Sian Fairose Farveen D/O S Nazeer Hussain |
format |
Final Year Project |
author |
Fairose Farveen D/O S Nazeer Hussain |
author_sort |
Fairose Farveen D/O S Nazeer Hussain |
title |
Ergowell: enhancing workplace ergonomics through mobile application development |
title_short |
Ergowell: enhancing workplace ergonomics through mobile application development |
title_full |
Ergowell: enhancing workplace ergonomics through mobile application development |
title_fullStr |
Ergowell: enhancing workplace ergonomics through mobile application development |
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Ergowell: enhancing workplace ergonomics through mobile application development |
title_sort |
ergowell: enhancing workplace ergonomics through mobile application development |
publisher |
Nanyang Technological University |
publishDate |
2024 |
url |
https://hdl.handle.net/10356/175715 |
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1800916163109060608 |