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Workspace Ergonomics and Posture Effectiveness Detection using Computer Vision with Machine Learning Approach

The continuous emergence of people using computers in the recent decade together with the adoption of online learning and teleworking during the Covid-19 pandemic has greatly resulted people especially employees and students to use computers for longer periods of time on a daily basis. Consequently,...

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Main Author: Faizal Hisham, Muhammad Haris Fahmi
Format: Final Year Project
Language:English
Published: 2022
Subjects:
T Technology (General)
Online Access:http://utpedia.utp.edu.my/id/eprint/24041/1/Workspace%20Ergonomics%20and%20Posture%20Effectiveness%20Detection%20using%20Computer%20Vision%20with%20Machine%20Learning%20Approach.pdf
http://utpedia.utp.edu.my/id/eprint/24041/
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spelling oai:utpedia.utp.edu.my:240412023-03-17T06:57:15Z http://utpedia.utp.edu.my/id/eprint/24041/ Workspace Ergonomics and Posture Effectiveness Detection using Computer Vision with Machine Learning Approach Faizal Hisham, Muhammad Haris Fahmi T Technology (General) The continuous emergence of people using computers in the recent decade together with the adoption of online learning and teleworking during the Covid-19 pandemic has greatly resulted people especially employees and students to use computers for longer periods of time on a daily basis. Consequently, individuals may experience health side-effects associated with extended use of computers caused from maintaining poor postures and having poor workspace ergonomics. 2022-01 Final Year Project NonPeerReviewed text en http://utpedia.utp.edu.my/id/eprint/24041/1/Workspace%20Ergonomics%20and%20Posture%20Effectiveness%20Detection%20using%20Computer%20Vision%20with%20Machine%20Learning%20Approach.pdf Faizal Hisham, Muhammad Haris Fahmi (2022) Workspace Ergonomics and Posture Effectiveness Detection using Computer Vision with Machine Learning Approach. [Final Year Project] (Submitted)
institution Universiti Teknologi Petronas
building UTP Resource Centre
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Petronas
content_source UTP Electronic and Digitized Intellectual Asset
url_provider http://utpedia.utp.edu.my/
language English
topic T Technology (General)
spellingShingle T Technology (General)
Faizal Hisham, Muhammad Haris Fahmi
Workspace Ergonomics and Posture Effectiveness Detection using Computer Vision with Machine Learning Approach
description The continuous emergence of people using computers in the recent decade together with the adoption of online learning and teleworking during the Covid-19 pandemic has greatly resulted people especially employees and students to use computers for longer periods of time on a daily basis. Consequently, individuals may experience health side-effects associated with extended use of computers caused from maintaining poor postures and having poor workspace ergonomics.
format Final Year Project
author Faizal Hisham, Muhammad Haris Fahmi
author_facet Faizal Hisham, Muhammad Haris Fahmi
author_sort Faizal Hisham, Muhammad Haris Fahmi
title Workspace Ergonomics and Posture Effectiveness Detection using Computer Vision with Machine Learning Approach
title_short Workspace Ergonomics and Posture Effectiveness Detection using Computer Vision with Machine Learning Approach
title_full Workspace Ergonomics and Posture Effectiveness Detection using Computer Vision with Machine Learning Approach
title_fullStr Workspace Ergonomics and Posture Effectiveness Detection using Computer Vision with Machine Learning Approach
title_full_unstemmed Workspace Ergonomics and Posture Effectiveness Detection using Computer Vision with Machine Learning Approach
title_sort workspace ergonomics and posture effectiveness detection using computer vision with machine learning approach
publishDate 2022
url http://utpedia.utp.edu.my/id/eprint/24041/1/Workspace%20Ergonomics%20and%20Posture%20Effectiveness%20Detection%20using%20Computer%20Vision%20with%20Machine%20Learning%20Approach.pdf
http://utpedia.utp.edu.my/id/eprint/24041/
_version_ 1761620912010952704
score 13.211869

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