Literature DB >> 29320232

Barriers to the Adoption of Wearable Sensors in the Workplace: A Survey of Occupational Safety and Health Professionals.

Mark C Schall, Richard F Sesek1, Lora A Cavuoto2.   

Abstract

OBJECTIVE: To gather information on the (a) types of wearable sensors, particularly personal activity monitors, currently used by occupational safety and health (OSH) professionals; (b) potential benefits of using such technologies in the workplace; and (c) perceived barriers preventing the widespread adoption of wearable sensors in industry.
BACKGROUND: Wearable sensors are increasingly being promoted as a means to improve employee health and well-being, and there is mounting evidence supporting their use as exposure assessment and personal health tools. Despite this, many workplaces have been hesitant to adopt these technologies.
METHODS: An electronic survey was emailed to 28,428 registered members of the American Society of Safety Engineers (ASSE) and 1,302 professionals certified by the Board of Certification in Professional Ergonomics (BCPE).
RESULTS: A total of 952 valid responses were returned. Over half of respondents described being in favor of using wearable sensors to track OSH-related risk factors and relevant exposure metrics at their respective workplaces. However, barriers including concerns regarding employee privacy/confidentiality of collected data, employee compliance, sensor durability, the cost/benefit ratio of using wearables, and good manufacturing practice requirements were described as challenges precluding adoption.
CONCLUSION: The broad adoption of wearable technologies appears to depend largely on the scientific community's ability to successfully address the identified barriers. APPLICATION: Investigators may use the information provided to develop research studies that better address OSH practitioner concerns and help technology developers operationalize wearable sensors to improve employee health and well-being.

Entities:  

Keywords:  consumer products; industrial/workplace ergonomics; musculoskeletal disorders; physical ergonomics; tools; work measurement

Mesh:

Year:  2018        PMID: 29320232      PMCID: PMC9307130          DOI: 10.1177/0018720817753907

Source DB:  PubMed          Journal:  Hum Factors        ISSN: 0018-7208            Impact factor:   3.598


  46 in total

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Authors:  G S Faber; C C Chang; I Kingma; J T Dennerlein; J H van Dieën
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2.  Recognition of dietary activity events using on-body sensors.

Authors:  Oliver Amft; Gerhard Tröster
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3.  Effectiveness of total worker health interventions.

Authors:  W Kent Anger; Diane L Elliot; Todd Bodner; Ryan Olson; Diane S Rohlman; Donald M Truxillo; Kerry S Kuehl; Leslie B Hammer; Dede Montgomery
Journal:  J Occup Health Psychol       Date:  2014-12-22

Review 4.  Toward Pervasive Gait Analysis With Wearable Sensors: A Systematic Review.

Authors:  Shanshan Chen; John Lach; Benny Lo; Guang-Zhong Yang
Journal:  IEEE J Biomed Health Inform       Date:  2016-11       Impact factor: 5.772

5.  Innovative system for real-time ergonomic feedback in industrial manufacturing.

Authors:  Nicolas Vignais; Markus Miezal; Gabriele Bleser; Katharina Mura; Dominic Gorecky; Frédéric Marin
Journal:  Appl Ergon       Date:  2012-12-20       Impact factor: 3.661

6.  Human Joint Angle Estimation with Inertial Sensors and Validation with A Robot Arm.

Authors:  Mahmoud El-Gohary; James McNames
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7.  Performance evaluation of a wearable inertial motion capture system for capturing physical exposures during manual material handling tasks.

Authors:  Sunwook Kim; Maury A Nussbaum
Journal:  Ergonomics       Date:  2012-12-12       Impact factor: 2.778

Review 8.  Systematic review of the validity and reliability of consumer-wearable activity trackers.

Authors:  Kelly R Evenson; Michelle M Goto; Robert D Furberg
Journal:  Int J Behav Nutr Phys Act       Date:  2015-12-18       Impact factor: 6.457

9.  Smart wearable body sensors for patient self-assessment and monitoring.

Authors:  Geoff Appelboom; Elvis Camacho; Mickey E Abraham; Samuel S Bruce; Emmanuel Lp Dumont; Brad E Zacharia; Randy D'Amico; Justin Slomian; Jean Yves Reginster; Olivier Bruyère; E Sander Connolly
Journal:  Arch Public Health       Date:  2014-08-22

10.  IMU-based joint angle measurement for gait analysis.

Authors:  Thomas Seel; Jörg Raisch; Thomas Schauer
Journal:  Sensors (Basel)       Date:  2014-04-16       Impact factor: 3.576

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1.  Wearable Biosensors in the Workplace: Perceptions and Perspectives.

Authors:  Lauren C Tindale; Derek Chiu; Nicole Minielly; Viorica Hrincu; Aline Talhouk; Judy Illes
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2.  Statistical prediction of load carriage mode and magnitude from inertial sensor derived gait kinematics.

Authors:  Sol Lim; Clive D'Souza
Journal:  Appl Ergon       Date:  2018-11-29       Impact factor: 3.661

Review 3.  Emerging Ergonomics Issues and Opportunities in Mining.

Authors:  Patrick G Dempsey; Lydia M Kocher; Mahiyar F Nasarwanji; Jonisha P Pollard; Ashley E Whitson
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4.  Requirement Specification and Modeling a Wearable Smart Blanket System for Monitoring Patients in Ambulance.

Authors:  Sorayya Rezayi; Ali Asghar Safaei; Niloofar Mohammadzadeh
Journal:  J Med Signals Sens       Date:  2019-10-24

Review 5.  Wearable Stretch Sensors for Human Movement Monitoring and Fall Detection in Ergonomics.

Authors:  Harish Chander; Reuben F Burch; Purva Talegaonkar; David Saucier; Tony Luczak; John E Ball; Alana Turner; Sachini N K Kodithuwakku Arachchige; Will Carroll; Brian K Smith; Adam Knight; Raj K Prabhu
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6.  Clinicians' perspectives on inertial measurement units in clinical practice.

Authors:  François Routhier; Noémie C Duclos; Émilie Lacroix; Josiane Lettre; Elizabeth Turcotte; Nathalie Hamel; François Michaud; Cyril Duclos; Philippe S Archambault; Laurent J Bouyer
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7.  A Body Tracking-Based Low-Cost Solution for Monitoring Workers' Hygiene Best Practices during Pandemics.

Authors:  Vito M Manghisi; Michele Fiorentino; Antonio Boccaccio; Michele Gattullo; Giuseppe L Cascella; Nicola Toschi; Antonio Pietroiusti; Antonio E Uva
Journal:  Sensors (Basel)       Date:  2020-10-29       Impact factor: 3.576

8.  Preferred Placement and Usability of a Smart Textile System vs. Inertial Measurement Units for Activity Monitoring.

Authors:  Mohammad Iman Mokhlespour Esfahani; Maury A Nussbaum
Journal:  Sensors (Basel)       Date:  2018-08-01       Impact factor: 3.576

9.  Health promotion with physiolytics: What is driving people to subscribe in a data-driven health plan.

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10.  Trunk Flexion Monitoring among Warehouse Workers Using a Single Inertial Sensor and the Influence of Different Sampling Durations.

Authors:  Micaela Porta; Massimiliano Pau; Pier Francesco Orrù; Maury A Nussbaum
Journal:  Int J Environ Res Public Health       Date:  2020-09-28       Impact factor: 3.390

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