(magistrsko delo)
Alen Bratanović (Author), David Haložan (Mentor), Jadranka Stričević (Co-mentor), Marko Kokol (Co-mentor)

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 sistemi;obdelava slik;

Data

Language: Slovenian
Year of publishing:
Typology: 2.09 - Master's Thesis
Organization: UM FZV - Faculty of Health Sciences
Publisher: [A. Bratanović]
UDC: 331.101.1:004(043.2)
COBISS: 2466212 Link will open in a new window
Views: 823
Downloads: 115
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Other data

Secondary language: English
Secondary title: Automation of ergonomically designed workplace using computer vision and Kinect device
Secondary 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.
Secondary keywords: ergonomics;RULA method;software;information systems;image processing;Ergonomics;Information systems;Ergonomika;Informacijski sistemi;
URN: URN:SI:UM:
Type (COBISS): Master's thesis/paper
Thesis comment: Univ. v Mariboru, Fak. za zdravstvene vede
Pages: V, 33 f., 13 f. pril.
ID: 10935136