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Empirical assessment of a RGB-D sensor on motion capture and action recognition for construction worker monitoring

Overview of attention for article published in Visualization in Engineering, July 2013
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Citations

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99 Mendeley
Title
Empirical assessment of a RGB-D sensor on motion capture and action recognition for construction worker monitoring
Published in
Visualization in Engineering, July 2013
DOI 10.1186/2213-7459-1-6
Authors

SangUk Han, Madhav Achar, SangHyun Lee, Feniosky Peña-Mora

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 99 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Canada 1 1%
Unknown 98 99%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 27 27%
Student > Master 14 14%
Researcher 8 8%
Student > Bachelor 8 8%
Student > Doctoral Student 5 5%
Other 8 8%
Unknown 29 29%
Readers by discipline Count As %
Engineering 48 48%
Computer Science 11 11%
Design 2 2%
Social Sciences 2 2%
Agricultural and Biological Sciences 1 1%
Other 6 6%
Unknown 29 29%