As the work force ages and workers retirement age increases, the number of workers suffering from Work-related Musculoskeletal Disorders (WMSDs) has increased. In a recent study, the U.S Bureau of Labor reported that 6.9% of all WMSDs affected shoulders. Electricians, carpenters, and related construction crafts appear to experience higher incidence of these injuries due the nature of their work that require them often to use Awkward shoulder postures. This research aims to develop a new monitoring system that measure the amount of time workers spend in awkward shoulder postures to help decrease the prevalence of cumulative shoulder injuries and to reduce the number of cases of shoulder WMSDs among construction workers. The monitoring system was designed and a feasibility study was conduct to compare the monitoring system with a state of the art motion tracking system. Overall the monitoring system was able to count the time spent in awkward posture as a discrete state sensor and it can be implemented in the field. However, results showed that the monitoring system in its current configuration require some future work for it to produce quantitatively precise results that can be used in the fields of biomechanics, robotics, and ergonomics.

As the work force ages and workers retirement age increases, the number of workers suffering from Work-related Musculoskeletal Disorders (WMSDs) has increased. In a recent study, the U.S Bureau of Labor reported that 6.9% of all WMSDs affected shoulders. Electricians, carpenters, and related construction crafts appear to experience higher incidence of these injuries due the nature of their work that require them often to use Awkward shoulder postures. This research aims to develop a new monitoring system that measure the amount of time workers spend in awkward shoulder postures to help decrease the prevalence of cumulative shoulder injuries and to reduce the number of cases of shoulder WMSDs among construction workers. The monitoring system was designed and a feasibility study was conduct to compare the monitoring system with a state of the art motion tracking system. Overall the monitoring system was able to count the time spent in awkward posture as a discrete state sensor and it can be implemented in the field. However, results showed that the monitoring system in its current configuration require some future work for it to produce quantitatively precise results that can be used in the fields of biomechanics, robotics, and ergonomics.

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