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Title:Avtomatizacija ergonomsko oblikovanega delovnega mesta s pomočjo računalniškega vida in naprave Kinect
Authors:ID Bratanović, Alen (Author)
ID Haložan, David (Mentor) More about this mentor... New window
ID Stričević, Jadranka (Comentor)
ID Kokol, Marko (Comentor)
Files:.pdf MAG_Bratanovic_Alen_2018.pdf (5,43 MB)
MD5: 12CD57C17D165D0FC9FB0AA14BD925E5
PID: 20.500.12556/dkum/43a58598-c70b-4566-918f-28b3df47bc4e
 
Language:Slovenian
Work type:Master's thesis/paper
Typology:2.09 - Master's Thesis
Organization:FZV - Faculty of Health Sciences
Abstract:Izhodišča: V okviru našega magistrskega dela smo raziskovali povezavo naprednih računalniških tehnologij, kot je računalniški vid, pri reševanju problemov na področju ergonomije delovnega mesta. Z uporabo naprave Kinect, ki ponuja možnost razvoja aplikacij na omenjenem področju, smo pripravili lastno aplikacijo za avtomatiziran izračun tveganja po metodi RULA. Metodologija: Potrjevali smo dve hipotezi: da je računalniška ocena podobna ročni oceni in da lahko Kinect aplikacija zazna primere, ki so problematični iz ergonomskega vidika na podlagi RULA ocene. Aplikacijo smo empirično preizkusili s pomočjo eksperimenta, ki smo ga izvedli na delovnem mestu medicinske sestre. Rezultate raziskave smo statistično obdelali in izvedli Wilcoxonov test predznačenih rangov med ročno in avtomatično oceno in s pomočjo Fisherjevega eksaktnega testa za male vzorce preverili, ali Kinect aplikacija pravilno klasificira problematične položaje. Rezultati: Rezultati so pokazali, da se ročne in avtomatične ocene bistveno ne razlikujejo (Z= -1,414, p = 0,157) in da klasifikacija položajev bistveno odstopa od naključja (p=0,007). Sklep: Na podlagi pridobljenih rezultatov in izvedene statistične analize smo dokazali sposobnost, uporabnost in sprejemljivo natančnost naprave Kinect za avtomatsko ocenjevanje ergonomskih položajev po metodi RULA na delovnem mestu.
Keywords:ergonomija, metoda RULA, programska oprema, informacijski sistem, obdelava slik
Place of publishing:Maribor
Publisher:[A. Bratanović]
Year of publishing:2018
PID:20.500.12556/DKUM-70534 New window
UDC:331.101.1:004(043.2)
COBISS.SI-ID:2466212 New window
NUK URN:URN:SI:UM:DK:GZQW1W0I
Publication date in DKUM:14.01.2019
Views:1479
Downloads:175
Metadata:XML DC-XML DC-RDF
Categories:FZV
:
BRATANOVIĆ, Alen, 2018, Avtomatizacija ergonomsko oblikovanega delovnega mesta s pomočjo računalniškega vida in naprave Kinect [online]. Master’s thesis. Maribor : A. Bratanović. [Accessed 26 March 2025]. Retrieved from: https://dk.um.si/IzpisGradiva.php?lang=eng&id=70534
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Licences

License:CC BY-NC-ND 4.0, Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International
Link:http://creativecommons.org/licenses/by-nc-nd/4.0/
Description:The most restrictive Creative Commons license. This only allows people to download and share the work for no commercial gain and for no other purposes.
Licensing start date:19.05.2018

Secondary language

Language:English
Title:Automation of ergonomically designed workplace using computer vision and Kinect device
Abstract:Starting points: Our study was focused on the use of advanced computing technologies, specifically computer vision algorithms in workplace ergonomics. By utilizing Kinect, we developed an application for automated RULA assessment. Methodology: We studied two hypotheses: that a grade calculated by automated assessment methods is like the one calculated by a human and that the Kinect based application can determine, which positions are more problematic from an ergonomics point of view, based on the RULA grade. Using the application, we designed an empirical study using an experiment, which we performed on the case of typical work that a nurse must perform as part of her job. Results from the study were analysed using statistical methods and we performed Wilcoxon signed-rank test between human based and computer based grades and Fisher exact test for small sample size to determine if Kinect application correctly classifies positions determined to be problematic. Results: The results showed that manual and automatic estimates do not significantly differ (Z= -2,716, p = 0,157) and the number of correctly determine problematic positions is significant (p=0,007). Conclusion: Based on the obtained results and statistical analysis we proved the ability, usability and acceptable accuracy of the Kinect device for automatic assessment of ergonomic positions according to the RULA method at the workplace.
Keywords:ergonomics, RULA method, software, information system, image processing


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