Applying incremental Deep Neural Networks-based posture recognition model for ergonomics risk assessment in construction

Author:

Zhao Junqi,Obonyo Esther

Publisher

Elsevier BV

Subject

Artificial Intelligence,Information Systems

Reference88 articles.

1. BLS, Injuries, illnesses, and fatalities. https://www.bls.gov/iif/, 2016 (accessed 22-April-2019 2019).

2. United States Bone and Joint Initiative, The burden of musculoskeletal diseases in the united states. https://www.boneandjointburden.org/, 2018 (accessed 22-April-2019 2020).

3. Risk assessment of work-related musculoskeletal disorders in construction: State-of-the-art review;Wang;Journal of Construction Engineering and Management,2015

4. A. Alwasel, K. Elrayes, E. Abdel-Rahman, C. Haas, A human body posture sensor for monitoring and diagnosing msd risk factors, Proceedings of the 30th International Symposium on Automation and Robotics in Construction and Mining (ISARC 2013): Building the Future in Automation and Robotics, International Association for Automation and Robotics in Construction (IAARC), 2013, pp. 531-539.

5. R. Rwamamara, O. Lagerkvist, T. Olofsson, B. Johansson, K.A. Kaminskas, Prevention of work-related musculoskeletal injuries in construction industry, (2010). http://dspace1.vgtu.lt/handle/1/518.

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