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Wearable technology for posture monitoring at the workplace
- Source :
- International Journal of Human-Computer Studies, 132, 99-111. Elsevier
- Publication Year :
- 2019
-
Abstract
- Prolonged strenuous postures in occupational context may lead to low back pain. Avoiding such occurrences is known to help prevent low back pain episodes or may contribute to recovery. This research concerns wearable sensing technology to support posture monitoring for the prevention of occupational low back pain and, more specifically, how smart garments can help nurses avoid prolonged strenuous postures at work. We introduce BackUp, a system comprising of a smart shirt connected to a smartphone application that provides feedback and advice on low back posture, and we describe its design and implementation. We report on a series of studies that contributed to its development: an anthropometric study (N = 60) to decide on the placement of sensors on the lower spine; a brief field study aimed at evaluating user experience and attitudes towards the shirt (N = 17), and a second field study intended to assess its effectiveness in helping nurses avoid prolonged strenuous postures at work (N = 13). These studies demonstrate how smart clothing can support posture feedback in real life conditions. While the results from the field studies are encouraging regarding the potential of this technology, further research is needed to establish the durability of the behaviour modification achieved through smart garments.
- Subjects :
- Posture correction
Human Factors and Ergonomics
Persuasive technology
GeneralLiterature_MISCELLANEOUS
Education
InformationSystems_MODELSANDPRINCIPLES
Smart garments
Human–computer interaction
User test
ComputerApplications_MISCELLANEOUS
medicine
Low back pain
Wearable technology
ComputingMethodologies_COMPUTERGRAPHICS
business.industry
Nurse
General Engineering
Awareness
Clothing
Test (assessment)
Human-Computer Interaction
Hardware and Architecture
ComputerApplications_GENERAL
medicine.symptom
Interactive clothing
business
Psychology
human activities
Software
Subjects
Details
- Language :
- English
- ISSN :
- 10715819
- Volume :
- 132
- Database :
- OpenAIRE
- Journal :
- International Journal of Human-Computer Studies
- Accession number :
- edsair.doi.dedup.....448269ee5b0a0553d673c1b4aafb7e85