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Empowering ergonomy in workplaces by individual behavior modeling using interactive process mining paradigm
ITACA-SABIEN, Universitat Politecnica de Valencia, Spain.
ITACA-SABIEN, Universitat Politecnica de Valencia, Spain.
ITACA-SABIEN, Universitat Politecnica de Valencia, Spain.
University of Borås, Faculty of Textiles, Engineering and Business. University of Borås, Faculty of Caring Science, Work Life and Social Welfare. Department of Biomedical Engineering, Karolinska University Hospital, Stockholm, Sweden; Department for Clinical Science, Intervention and Technology, Karolinska Institutet, Stockholm, Sweden.ORCID iD: 0000-0002-6995-967X
2018 (English)In: Intelligent Environments 2018 / [ed] Ioannis Chatzigiannakis, Yoshito Tobe, Paulo Novais, Oliver Amft, Amsterdam: IOS Press, 2018, p. 346-354Chapter in book (Refereed)
Abstract [en]

Work-related disorders account for a significant part of total healthcareexpenditure. Traditionally muscle-skeletal disorders were predominant as source ofwork absenteeism but in last years work activity-related disorders have increasedremarkably. Too little activity at work, sedentarism, or too much work activity leadsto stress. The individualized behavioural analysis of patients could support ergon-omy experts in the optimization of workplaces in a Healthier way. Process MiningTechnologies can offer a human understandable view of what is actually occurringin workplaces in an individualized way. In this paper, we present a proof of con-cept of how Process Mining technologies can be used for discovering the workerflow in order to support the ergonomy experts in the selection of more accurateinterventions for improving occupational health.

Place, publisher, year, edition, pages
Amsterdam: IOS Press, 2018. p. 346-354
Series
Ambient Intelligence and Smart Environments ; 23
Keywords [en]
Behavior Modeling, Process Mining, IoT, Smart Environments
National Category
Electrical Engineering, Electronic Engineering, Information Engineering
Identifiers
URN: urn:nbn:se:hb:diva-29653DOI: 10.3233/978-1-61499-874-7-346ISI: 000482617600042ISBN: 978-1-61499-873-0 (print)ISBN: 978-1-61499-874-7 (electronic)OAI: oai:DiVA.org:hb-29653DiVA, id: diva2:1749775
Available from: 2023-04-11 Created: 2023-04-11 Last updated: 2024-02-01Bibliographically approved

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Seoane, Fernando

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