Construction






2016
Picture1 Computer Vision-Based Automated Ergonomic Risk Assessment of Working Postures
SangHyun Lee, PhD, University of Michigan
Many manual workers in industries like manufacturing and construction are involved in physically demanding activities that result in ergonomic injuries. However, current manual observation based ergonomic assessments are time‐consuming, expensive and error prone, which makes them difficult to be easily and widely applied to many workplaces.




Picture1 The Effects of Systems and Design on Employee Health and Safety from the Office to the Construction Site: Identifying Causal Pathways Through Modern Ergonomics and Human Factors
Jack Dennerlein, PhD, Northeastern University
This research has utilized a systems approach that spans a wide range of business sectors. For long haul truck drivers we see reductions in low back pain and disability when we reduce their exposure to whole body vibration through the use of electro‐mechanic seat suspension systems. For commercial construction workers we see improved safety climate on sites with safety incentive programs. These projects demonstrate the many opportunities to improve employee health and safety.

2013
Picture1 Automatic Detection of Unsafe Actions in Construction: Markerless Motion Capture Approach
SangHyun Lee, PhD, University of Michigan
It has been known that about 80%–90% of accidents in construction are strongly associated with workers’ unsafe actions and errors. This study opens up a possibility of a micro-level motion tracking and recognition and the results will serve as preliminary information for providing workers with direct feedback on their behavior as well as a safety performance measurement to evaluate ongoing safety management.

2011
          Crystalline Silica and RSP Control Methods Effectiveness during Concrete Grinding
          Farhang Akbar, PHD, CIH, CSP, University of Toledo
          This presentation will discuss the influence of major factors of exposure and effectiveness of existing dust control methods. It is based
          on an experiment conducted in an enclosed workplace laboratory by simulating field concrete grinding, while using a variety of grinders,
          accessories, and existing dust control methods including general ventilation, local exhaust ventilation, and wet grinding.