Fall risk analysis of construction workers using inertial measurement units: validating the usefulness of the postural stability metrics in construction

Fall accidents are a leading cause of fatalities and injuries in the construction industry, and the loss of bodily stability is one of the primary factors contributing to such falls. Body stability can be analyzed by studying dynamic and postural stability, the assessment of which can ultimately improve worker safety on the job sites. Previous studies have introduced a method for assessing construction workers' gait stability, but there remains a need for a comprehensive method that can analyze the fall-risk of construction workers' in stationary postures. This study aims to test the usefulness of two metrics--velocity of the bodily center of pressure (COPv) and the resultant accelerometer (rAcc)--as predictors with which to measure workers' fall risk in stationary postures. A laboratory experiment was designed and conducted to gather IMU data and compare the resulting stability metrics (I-COPv and rAcc) with the postural stability observed while conducting the same activities on a forceplate (F-COPv). The experiment evaluated stationary-posture tasks with various fall-risk profiles: standing and squatting in different situations (e.g. wearing a loaded harness with a symmetric and an asymmetric load, and holding a toolbox). The analysis's results demonstrated a significant difference in I-COPv and rAcc values across different postures and tasks and also showed considerable correlations between the metrics from both the force plate and the IMU sensors. The results showed the distinguishing power of I-COPv and rAcc in measuring the fall risk of different construction workers' tasks in the stationary posture. Language: en

[1]  J. Dichgans,et al.  Some methods and parameters of body sway quantification and their neurological applications , 2004, Archiv für Psychiatrie und Nervenkrankheiten.

[2]  Thurmon E Lockhart,et al.  Comparison of intra individual physiological sway complexity from force plate and inertial measurement unit - biomed 2013. , 2013, Biomedical sciences instrumentation.

[3]  Ivan T. Robertson,et al.  Improving safety by the modification of behaviour , 1994 .

[4]  Gary P. Latham,et al.  Effects of Assigned and Participative Goal Setting on Performance and Job Satisfaction. , 1976 .

[5]  H Hsiao,et al.  Preventing falls from roofs: a critical review , 2001, Ergonomics.

[6]  Young-Jun Kwon,et al.  The characteristics of fatal occupational injuries in Korea’s construction industry, 1997–2004 , 2009 .

[7]  Changbum R. Ahn,et al.  Detecting the Hazards of Lifting and Carrying in Construction through a Coupled 3D Sensing and IMUs Sensing System , 2014 .

[8]  J. E. Beavers,et al.  Steel Erection Fatalities in the Construction Industry , 2009 .

[9]  Ren-Jye Dzeng,et al.  A feasibility study of using smartphone built-in accelerometers to detect fall portents , 2014 .

[10]  F. Horak.  Clinical measurement of postural control in adults. , 1987, Physical therapy.

[11]  Changbum R. Ahn,et al.  The Validation of Gait-Stability Metrics to Assess Construction Workers' Fall Risk , 2014 .

[12]  C. Riach,et al.  Postural stability measures: what to measure and for how long. , 1996, Clinical biomechanics.

[13]  S L Luther,et al.  Fall risk assessment measures: an analytic review. , 2001, The journals of gerontology. Series A, Biological sciences and medical sciences.

[14]  T.E. Prieto,et al.  Measures of postural steadiness: differences between healthy young and elderly adults , 1996, IEEE Transactions on Biomedical Engineering.

[15]  D. Winter,et al.  Assessment of balance control in humans. , 1990, Medical progress through technology.

[16]  Koshy Varghese,et al.  Accelerometer-Based Activity Recognition in Construction , 2011, J. Comput. Civ. Eng..

[17]  Tao Cheng,et al.  Data Fusion of Real-Time Location Sensing and Physiological Status Monitoring for Ergonomics Analysis of Construction Workers , 2013, J. Comput. Civ. Eng..

[18]  Vitor Sousa,et al.  Risk-based management of occupational safety and health in the construction industry – Part 1: Background knowledge , 2014 .

[19]  Ann Marie Dale,et al.  Fall prevention and safety communication training for foremen: report of a pilot project designed to improve residential construction safety. , 2013, Journal of safety research.

[20]  Ruth Dickstein,et al.  Corrigendum to Abstract “Fingertip touch improves postural stability in patients with peripheral neuropathy” , 2003 .

[21]  F. Prince,et al.  Intrasession reliability of center of pressure measures of postural steadiness in healthy elderly people. , 2004, Archives of physical medicine and rehabilitation.

[22]  Thurmon E Lockhart,et al.  Fall Risk Assessments Based on Postural and Dynamic Stability Using Inertial Measurement Unit , 2012, Safety and health at work.

[23]  A. Önell,et al.  The vertical ground reaction force for analysis of balance , 2000 .

[24]  E. Jalavisto,et al.  Standing steadiness in old and young persons. , 1953, Annales medicinae experimentalis et biologiae Fenniae.

[25]  A Karlsson,et al.  Correlations between force plate measures for assessment of balance. , 2000, Clinical biomechanics.

[26]  F. A. Hellebrandt,et al.  The influence of sex and age on the postural sway of man , 1939 .

[27]  Amarjit Singh,et al.  Fall protection analysis for workers on residential roofs , 1998 .

[28]  A. Tversky,et al.  Judgment under Uncertainty: Heuristics and Biases , 1974, Science.

[29]  Simon Brumagne,et al.  Altered postural control in anticipation of postural instability in persons with recurrent low back pain. , 2008, Gait & posture.

[30]  Thomas Findley,et al.  Measures of postural stability. , 2004, Journal of rehabilitation research and development.

[31]  Changbum R. Ahn,et al.  Comprehensive Fall-Risk Assessment of Construction Workers Using Inertial Measurement Units: Validation of the Gait-Stability Metric to Assess the Fall Risk of Iron Workers , 2016, J. Comput. Civ. Eng..

[32]  H. Lanshammar,et al.  Analysis of postural sway strategies using an inverted pendulum model and force plate data , 1997 .

[33]  James A. Norris,et al.  Ability of static and statistical mechanics posturographic measures to distinguish between age and fall risk. , 2005, Journal of biomechanics.

[34]  T. Uetake,et al.  The effects of visual input on postural control mechanisms: an analysis of center-of-pressure trajectories using the auto-regressive model. , 2000, Journal of human ergology.

[35]  Yueng-Hsiang Huang,et al.  Perceptions of postural stability after transitioning to standing among construction workers , 2010 .

[36]  Pertti Era,et al.  Force Platform Measurements as Predictors of Falls among Older People – A Review , 2006, Gerontology.

[37]  Helen Lingard,et al.  Behavior-based safety management in Hong Kong's construction industry , 1997 .

[38]  Hermie Hermens,et al.  Standing balance evaluation using a triaxial accelerometer. , 2002, Gait & posture.

[39]  William H. Warren,et al.  Optic flow is used to control human walking , 2001, Nature Neuroscience.

[40]  Jaap H van Dieën,et al.  Postural sway parameters in seated balancing; their reliability and relationship with balancing performance. , 2010, Gait & posture.

[41]  Osama Abudayyeh,et al.  Occupational Injuries and Fatalities in the Roofing Contracting Industry , 2005 .

[42]  Thurmon Lockhart,et al.  A comparison between methods of measuring postrual stability: force plates versus accelerometers. , 2012, Biomedical sciences instrumentation.

[43]  A. Shumway-cook,et al.  Postural sway biofeedback: its effect on reestablishing stance stability in hemiplegic patients. , 1988, Archives of physical medicine and rehabilitation.

[44]  Tim Kiemel,et al.  Controlling human upright posture: velocity information is more accurate than position or acceleration. , 2004, Journal of neurophysiology.

[45]  D. Ward,et al.  Gait and postural stability in obese and nonobese prepubertal boys. , 2000, Archives of physical medicine and rehabilitation.