Article: Evaluating ERAIVA - a software for video-based awkward posture identification Journal: International Journal of Human Factors and Ergonomics (IJHFE) 2024 Vol.11 No.6 pp.1 - 16 Abstract: The convergence of the focus of Industry 5.0 on human well-being and the prevalent problem of work-related musculoskeletal disorders necessitates advanced digital solutions due to limitations in manual risk assessment methods. This research aimed to compare usability of a newly developed video-based awkward posture identification software, the ergonomist assistant for evaluation (ERAIVA) with a conventional manual method. The risk assessment tool utilised in this study, integrated into the ERAIVA digital platform, is the risk management assessment tool for manual handling proactively (RAMP). Four assessors evaluated video-recorded tasks using both methods (manual and ERAIVA). The usability was assessed through the post-study system usability questionnaire, time consumption, number of video replays and video annotation deletions. The impact on identification of awkward posture durations was also studied. ERAIVA exhibited the highest usability score; it showed a higher number of video replays of specific sequences and annotations without significant differences in time consumption. Inderscience Publishers - linking academia, business and industry through research

Title: Evaluating ERAIVA - a software for video-based awkward posture identification

Authors: Veeresh Elango; Staffan Hedelin; Lars Hanson; Johan Sandblad; Anna Syberfeldt; Mikael Forsman

Addresses: School of Engineering Sciences, University of Skövde, Högskolevägen, 541 28 Skövde, Sweden; Smart Factory Lab., Scania CV AB, Vagnmakarvägen 1, 151 87 Södertälje, Sweden ' Advanced Analytics, Scania CV AB, Vagnmakarvägen 1, 151 87 Södertälje, Sweden ' School of Engineering Sciences, University of Skövde, Högskolevägen, 541 28 Skövde, Sweden ' Global Safety, Health and Environment, Scania CV AB, Vagnmakarvägen 1, 151 87 Södertälje, Sweden ' School of Engineering Sciences, University of Skövde, Högskolevägen, 541 28 Skövde, Sweden ' School of Engineering Sciences in Chemistry, Biotechnology and Health, KTH Royal Institute of Technology, 141 57 Stockholm, Sweden

Abstract: The convergence of the focus of Industry 5.0 on human well-being and the prevalent problem of work-related musculoskeletal disorders necessitates advanced digital solutions due to limitations in manual risk assessment methods. This research aimed to compare usability of a newly developed video-based awkward posture identification software, the ergonomist assistant for evaluation (ERAIVA) with a conventional manual method. The risk assessment tool utilised in this study, integrated into the ERAIVA digital platform, is the risk management assessment tool for manual handling proactively (RAMP). Four assessors evaluated video-recorded tasks using both methods (manual and ERAIVA). The usability was assessed through the post-study system usability questionnaire, time consumption, number of video replays and video annotation deletions. The impact on identification of awkward posture durations was also studied. ERAIVA exhibited the highest usability score; it showed a higher number of video replays of specific sequences and annotations without significant differences in time consumption.

Keywords: awkward postures; software; work-related musculoskeletal disorder; video-based; Industry 5.0; ergonomist assistant for evaluation; ERAIVA; risk management assessment tool for manual handling proactively; RAMP.

DOI: 10.1504/IJHFE.2024.143861

International Journal of Human Factors and Ergonomics, 2024 Vol.11 No.6, pp.1 - 16

Received: 20 Mar 2024
Accepted: 02 Dec 2024
Published online: 10 Jan 2025 *

Title: Evaluating ERAIVA - a software for video-based awkward posture identification

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