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Reducing postural load in order picking through a smart workwear system using real-time vibrotactile feedback.

Carl Mikael Lind1, Liyun Yang1, Farhad Abtahi1

  • 1Unit of Occupational Medicine, Karolinska Institutet, Solnavägen 4, SE-113 65, Stockholm, Sweden; Division of Ergonomics, KTH Royal Institute of Technology, Hälsovägen 11C, SE-141 57, Huddinge, Sweden.

Applied Ergonomics
|August 29, 2020
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Summary

Real-time vibrotactile feedback training reduced harmful trunk and arm postures in simulated order picking. This smart workwear system shows potential for improving worker ergonomics and preventing injuries.

Keywords:
InterventionThe smart workwear consortiumWork technique training

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Area of Science:

  • Ergonomics
  • Occupational Health
  • Human-Computer Interaction

Background:

  • Manual handling tasks, like order picking, often involve awkward postures leading to musculoskeletal disorders.
  • Effective interventions are needed to improve work techniques and reduce postural risk in industrial settings.

Purpose of the Study:

  • To evaluate the short-term effects of real-time vibrotactile feedback on postural exposure during simulated industrial order picking.
  • To assess the usability and user experience of a smart workwear system for postural training.

Main Methods:

  • Fifteen industrial workers performed order-picking tasks with a smart workwear system providing vibrotactile feedback.
  • Trunk and upper arm postures were recorded, and user feedback was collected via questionnaires and interviews.

Main Results:

  • Significant reductions in time spent in harmful trunk inclinations (≥20°, ≥30°, ≥45°) and upper arm elevations (≥30°, ≥45°) were observed during feedback.
  • These postural improvements persisted even after the feedback was withdrawn.
  • Workers found the system usable, comfortable, and beneficial for learning improved postures.

Conclusions:

  • Real-time vibrotactile feedback via smart workwear is effective for short-term postural improvement in order picking tasks.
  • The system demonstrates potential as an automated training tool to enhance worker ergonomics and reduce injury risk.