Risk Assessment of Construction Workers’ Trunk Posture Using Mobile Sensor

Ming-yuan ZHANG, Zheng-zong BAI, Xue-feng ZHAO

Abstract


The construction industry is one of the industries with higher incidence of Work-related Musculoskeletal Disorder (WMSDs), which will have an impact on the health and life expectancy of construction workers, reduce production efficiency and cause significant economic losses. The prevalence of low back pain for construction workers is far higher than that in other parts of body, leading to the main factors of lower back pain including the awkward posture and the holding time for the same work posture. In this paper, a approach which using the built-in smartphone orientation sensor to collect data utilized to calculate the flexion-extension angle, lateral bending angle and rotation angle of the trunk is presented to identify and assess the risk of posture according to the relationship between the static angle and the holding time given by ISO11226: 2000. And the proposed method is verified by the simple working posture in laboratory. Results indicates that measurements of trunk flexions of a worker by smartphone sensor data are close to corresponding observation values and can identify and assess the risk factors that cause the low back pain of the construction workers. In addition the proposed is applicable for the WMSDs prevention, construction site management and worker training.

Keywords


Smartphone sensor, Data collection and calculation, Risk assessment


DOI
10.12783/dtetr/tmcm2017/12649

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