Literature DB >> 23231730

Performance evaluation of a wearable inertial motion capture system for capturing physical exposures during manual material handling tasks.

Sunwook Kim1, Maury A Nussbaum.   

Abstract

With a long-term goal of improving quantification of physical exposures in the workplace, this study examined the ability of a commercially available inertial motion capture (IMC) system in quantifying exposures during five different simulated manual material handling tasks. Fourteen participants repeated all these tasks in three 20 min sequential time blocks. Performance of the IMC system was compared against an optical motion capture (OMC) system ('gold standard') in terms of joint angles, angular velocities and moments at selected body parts. Though several significant changes in performance over time were found, the magnitudes of these were relatively small and may have limited practical relevance. The IMC system yielded peak kinematic values that differed by up to 28% from the OMC system. The IMC system, in some cases, incorrectly reflected the actual extremity positions of a participant, and which can cause relatively large errors in joint moment estimation. Given the potential limitations, practical recommendations are offered and discussed. PRACTITIONER
SUMMARY: Use of an inertial motion capture system can advance the quantification of physical exposures in situ. Results indicate a good potential capacity for capturing physical exposure data in the field for an extended period, while highlighting potential limitations. Future system application can help provide better understandings of dose-exposure relationships.

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Year:  2012        PMID: 23231730     DOI: 10.1080/00140139.2012.742932

Source DB:  PubMed          Journal:  Ergonomics        ISSN: 0014-0139            Impact factor:   2.778


  27 in total

1.  Validation of inertial measurement units with an optoelectronic system for whole-body motion analysis.

Authors:  Xavier Robert-Lachaine; Hakim Mecheri; Christian Larue; André Plamondon
Journal:  Med Biol Eng Comput       Date:  2016-07-05       Impact factor: 2.602

2.  Load Asymmetry Angle Estimation Using Multiple view Videos.

Authors:  Xuan Wang; Yu Hen Hu; Ming-Lun Lu; Robert G Radwin
Journal:  IEEE Trans Hum Mach Syst       Date:  2021-12       Impact factor: 4.124

3.  Ability of Wearable Accelerometers-Based Measures to Assess the Stability of Working Postures.

Authors:  Liangjie Guo; Junhui Kou; Mingyu Wu
Journal:  Int J Environ Res Public Health       Date:  2022-04-13       Impact factor: 4.614

4.  Work organization and health among immigrant women: Latina manual workers in North Carolina.

Authors:  Thomas A Arcury; Joseph G Grzywacz; Haiying Chen; Dana C Mora; Sara A Quandt
Journal:  Am J Public Health       Date:  2014-01-16       Impact factor: 9.308

5.  Accuracy and repeatability of an inertial measurement unit system for field-based occupational studies.

Authors:  Mark C Schall; Nathan B Fethke; Howard Chen; Sakiko Oyama; David I Douphrate
Journal:  Ergonomics       Date:  2015-10-07       Impact factor: 2.561

6.  The effects of work organization on the health of immigrant manual workers: A longitudinal analysis.

Authors:  Thomas A Arcury; Haiying Chen; Dana C Mora; Francis O Walker; Michael S Cartwright; Sara A Quandt
Journal:  Arch Environ Occup Health       Date:  2014-08-26       Impact factor: 1.765

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

Authors:  Mark C Schall; Richard F Sesek; Lora A Cavuoto
Journal:  Hum Factors       Date:  2018-01-10       Impact factor: 3.598

8.  Autonomous Quality Control of Joint Orientation Measured with Inertial Sensors.

Authors:  Karina Lebel; Patrick Boissy; Hung Nguyen; Christian Duval
Journal:  Sensors (Basel)       Date:  2016-07-05       Impact factor: 3.576

9.  Evaluation of two approaches for aligning data obtained from a motion capture system and an in-shoe pressure measurement system.

Authors:  Sunwook Kim; Maury A Nussbaum
Journal:  Sensors (Basel)       Date:  2014-09-12       Impact factor: 3.576

10.  Accuracy of Base of Support Using an Inertial Sensor Based Motion Capture System.

Authors:  Liangjie Guo; Shuping Xiong
Journal:  Sensors (Basel)       Date:  2017-09-12       Impact factor: 3.576

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