Video image-based posture assessment: an approach for dynamic working posture assessment.
Traditional observational posture evaluation methods stress on sampling approach for continuous evaluation of dynamic postures in any activity. Hence, the quality of results from such evaluations is under debate. This article proposes a Video Image-based Posture Assessment (VIPA) method as a highly...
| Publicado en: | Theoretical Issues in Ergonomics Science Vol. 23; no. 6; pp. 749 - 770 |
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| Autores principales: | , , , , |
| Formato: | pictorial research tables/charts Journal Article |
| Publicado: |
Taylor & Francis Ltd
Nov2022
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=159718663&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 159718663 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 1463922X BDX jtl: Theoretical Issues in Ergonomics Science issn: 1463922X maglogo: Y pubinfo: dt: Nov2022 vid: 23 iid: 6 pid: 377 pub: Taylor & Francis Ltd place: Philadelphia, Pennsylvania artinfo: ui: 159718663 155157208 159718663 159718663 10.1080/1463922X.2022.2036860 159718663 ppf: 749 ppct: 21 formats: tig: atl: Video image-based posture assessment: an approach for dynamic working posture assessment. aug: au: Mohan, Kiran Pillai, V. Madhusudanan Jayendrakumar, Pujara Dhaval Sankaran, Praveen Chandramohan, Arun affil: Department of Mechanical Engineering, National Institute of Technology Calicut, NIT Campus (P.O), Calicut, Kerala, India sug: subj: Videorecording Posture Evaluation Task Performance and Analysis Ergonomics Human Blue Collar Workers Image Processing, Computer Assisted ab: Traditional observational posture evaluation methods stress on sampling approach for continuous evaluation of dynamic postures in any activity. Hence, the quality of results from such evaluations is under debate. This article proposes a Video Image-based Posture Assessment (VIPA) method as a highly capable one for assessing an activity requiring dynamic postures of workers. This article explains the various steps of VIPA and its application for (i) the extraction and classification of postures into different categories based on the instructed posture classes from 10 videos of soil loosening activity having 48,715 postures and (ii) the use of OWAS to evaluate the postures. VIPA relies on traditional posture evaluation methods. The results indicate that VIPA could identify precarious postures 30% of the activity duration; these results were found to be accurate and reliable because there is no sampling method involved. The capability of VIPA method is proven through the activity studied. pubtype: Academic Journal doctype: pictorial research tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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