A Human Body Posture Sensor for Monitoring and Diagnosing MSD Risk Factors

Alwasel, Abdullatif; Elrayes, K.; Abdel‐Rahman, Eihab; Haas, Carl T.

doi:10.22260/isarc2013/0057

Cited by 12 publications

(3 citation statements)

References 12 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…) 2012 ) and Gatti et al (2010) used physiological status monitoring devices to measure heart rate and torso angle in addition to real-time location of construction workers in a laboratory environment. Alwasel et al (2013) devised joint angle measurement devices to monitor MSDs risk factors for construction workers. Jebelli et al (2012) and Yang et al (2014) used inertial measurement units to identify near-miss fall incidents and assessment of fall risks for construction activities in a laboratory setting.…”

Section: Application Of Ergonomic Assessment Methods In the Constructmentioning

confidence: 99%

Identification of Biomechanical Risk Factors for the Development of Lower-Back Disorders during Manual Rebar Tying

Umer

Szeto

et al. 2017

J. Constr. Eng. Manage.

View full text Add to dashboard Cite

High prevalence of musculoskeletal disorders among construction workers pose challenges to the productivity and occupational health of the construction industry. To mitigate the risk of musculoskeletal disorders, construction managers need to deepen their understanding of the physical and biomechanical demands of various construction tasks so that appropriate policies and preventive measures can be implemented. Among various construction trades, rebar workers are highly susceptible to lower-back disorders (LBDs) given the physically demanding nature of their work tasks. In particular, rebar tying is considered to be closely related to LBDs because it exposes workers to multiple ergonomic risk factors (repetitive works in prolonged static and awkward postures). The objective of the current study was to compare the differences in lumbar biomechanics during three typical rebar tying postures: stooping, one-legged kneeling, and squatting. Biomechanical variables including trunk muscle activity and trunk kinematics were measured by surface electromyography and motion sensors, respectively. Ten healthy male participants performed a simulated rebar tying task in each of the three postures in a laboratory setting. Repeated measures analysis of variance showed that while each posture has its unique trunk kinematic characteristics, all these postures involved excessive trunk inclination that exceeded the internationally recommended trunk inclination angle of 60°for static working postures. Of the three postures, stooping posture demonstrated a significant reduction in electromyographic activity of lumbar muscles (a reduction in 60-80% of muscle activity as compared to the other two postures). The reduced muscle activity may shift the loading to passive spinal structures (e.g., spinal ligaments and joint capsules), which is known to be a risk factor for LBD development. Collectively, the results from this study may help explain the high prevalence of LBDs in rebar workers. Future studies are warranted to confirm the findings at construction sites and to develop appropriate ergonomic approaches for rebar workers.dividual papers. This paper is part of the Journal of Construction Engineering and Management, © ASCE, ISSN 0733-9364. © ASCE 04016080-1 J. Constr. Eng. Manage. J. Constr. Eng. Manage., 04016080 Downloaded from ascelibrary.org by Arizona State Univ on 07/26/16. Copyright ASCE. For personal use only; all rights reserved. © ASCE 04016080-2 J. Constr. Eng. Manage. J. Constr. Eng. Manage., 04016080 Downloaded from ascelibrary.org by Arizona State Univ on 07/26/16. Copyright ASCE. For personal use only; all rights reserved. © ASCE 04016080-10 J. Constr. Eng. Manage. J. Constr. Eng. Manage., 04016080 Downloaded from ascelibrary.org by Arizona State Univ on 07/26/16.

show abstract

Section: Application Of Ergonomic Assessment Methods In the Constructmentioning

confidence: 99%

Identification of Biomechanical Risk Factors for the Development of Lower-Back Disorders during Manual Rebar Tying

Umer

Szeto

et al. 2017

J. Constr. Eng. Manage.

View full text Add to dashboard Cite

show abstract

“…Understanding how such problems develop and evolve require a "multi-aspects assessment" of contributing factors [12]. Specific examples of MSDrelated contributing factors include prolonged force, repetitive motion, and overexertion [12,13]. These are often compounded by ergonomic factors such as vibration during working [14].…”

Section: Introductionmentioning

confidence: 99%

Towards A Real-Time Data-Driven Approach for Proactive Injury Prevention in Construction

Obonyo

Zhao

2018

ACET

View full text Add to dashboard Cite

Lessons can be learned from a "Web of Causation" approach that is being used to characterize and analyse the development progress of the disease. This is a data-intensive approach. It is the contention of this paper that the required data collection and processing needs can be addressed using emerging Wearable Technologies (WT). The collected motion data can be used to improve the detection of activities that have MSD-related risks and enhance the understanding of the nature of the risk. The output can be used to perform more robust quantitative assessments of risk factors. It can also be used to develop proactive strategies that can be used to minimize the occurrence of MSD.

show abstract

“…Those are: (1) RGB-D sensor-based; 17 (2) stereo-vision camera-based; 19 and (3) multiple camera-based 16,18 approaches. An optical encoder, which is a potentiometer-based electrogoniometers, 20 is applied as an angular measurement sensor. Also, a marker-based motion capture system (Optotrak TM , Northern Digital, Inc., Waterloo, Canada) is used as the ground truth of motion data.…”

Section: Introductionmentioning

confidence: 99%

A comparative study of in-field motion capture approaches for body kinematics measurement in construction

et al. 2017

View full text Add to dashboard Cite

SummaryDue to physically demanding tasks in construction, workers are exposed to significant safety and health risks. Measuring and evaluating body kinematics while performing tasks helps to identify the fundamental causes of excessive physical demands, enabling practitioners to implement appropriate interventions to reduce them. Recently, non-invasive or minimally invasive motion capture approaches such as vision-based motion capture systems and angular measurement sensors have emerged, which can be used for in-field kinematics measurements, minimally interfering with on-going work. Given that these approaches have pros and cons for kinematic measurement due to adopted sensors and algorithms, an in-depth understanding of the performance of each approach will support better decisions for their adoption in construction. With this background, the authors evaluate the performance of vision-based (RGB-D sensor-, stereovision camera-, and multiple camera-based) and an angular measurement sensor-based (i.e., an optical encoder) approach to measure body angles through experimental testing. Specifically, measured body angles from these approaches were compared with the ones obtained from a marker-based motion capture system that has less than 0.1 mm of errors. The results showed that vision-based approaches have about 5–10 degrees of error in body angles, while an angular measurement sensor-based approach measured body angles with about 3 degrees of error during diverse tasks. The results indicate that, in general, these approaches can be applicable for diverse ergonomic methods to identify potential safety and health risks, such as rough postural assessment, time and motion study or trajectory analysis where some errors in motion data would not significantly sacrifice their reliability. Combined with relatively accurate angular measurement sensors, vision-based motion capture approaches also have great potential to enable us to perform in-depth physical demand analysis such as biomechanical analysis that requires full-body motion data, even though further improvement of accuracy is necessary. Additionally, understanding of body kinematics of workers would enable ergonomic mechanical design for automated machines and assistive robots that helps to reduce physical demands while supporting workers' capabilities.

show abstract

A Human Body Posture Sensor for Monitoring and Diagnosing MSD Risk Factors

Cited by 12 publications

References 12 publications

Identification of Biomechanical Risk Factors for the Development of Lower-Back Disorders during Manual Rebar Tying

Identification of Biomechanical Risk Factors for the Development of Lower-Back Disorders during Manual Rebar Tying

Towards A Real-Time Data-Driven Approach for Proactive Injury Prevention in Construction

A comparative study of in-field motion capture approaches for body kinematics measurement in construction

Contact Info

Product

Resources

About