Skip to main navigation Skip to search Skip to main content

Towards a Safety Culture in Workplaces: Intelligent Rest Breaks and Social Support

  • Cleveland State University
  • Kent State University
  • University of Science and Technology Beijing

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Scopus citations

Abstract

Musculoskeletal disorders (MSDs) are pervasive in the workforce and constitute the single largest category of work-related illness. The root cause for MSDs is complex. However, there is little dispute that MSD morbidity is primarily due to physical and psychosocial risk factors, and these two domains of risk factors share a common upstream determinant. A work organization influences both the physical load patterns and psychosocial features. In this paper, we propose a technology-facilitated intervention program that could lead to an improved safety culture in workplaces. The program is aimed at addressing one of the physical risk factors, i.e., rest breaks, and a psychosocial risk factor, i.e., social support. First, a wearable soft orthosis is used to detect the types of physical activities and load patterns, and to derive an intelligent rest break schedule for each type of activity and load patterns. The orthosis would also remind the participant to take a rest break at appropriate times. Second, a mobile app is developed to cultivate a learning community where the participants could seek and provide social support and increase their awareness of occupational safety. We collected some preliminary app usage data and developed a methodology of identifying app usage patterns using both supervised and unsupervised learning. The feasibility of the method is validated using synthesized data derived from the collected data.
Original languageEnglish
Title of host publication2023 IEEE Symposium Series on Computational Intelligence, SSCI 2023
Place of Publicationusa
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages753-758
Number of pages6
ISBN (Electronic)9781665430654
DOIs
StatePublished - Jan 1 2023
Event2023 IEEE Symposium Series on Computational Intelligence, SSCI 2023 - Mexico City, Mexico
Duration: Dec 5 2023Dec 8 2023

Conference

Conference2023 IEEE Symposium Series on Computational Intelligence, SSCI 2023
Country/TerritoryMexico
CityMexico City
Period12/5/2312/8/23

Keywords

  • Gaussian naive Bayes
  • KNN
  • Musculoskeletal disorders
  • decision tree
  • k-means clustering
  • learning community
  • load pattern
  • occupational safety
  • orthosis
  • the elbow method

Cite this