Abstract
It is effective means to promote firefighter’s clothing design through research of firefighters’ motion. In this paper, substantive data and picture information are obtained by investigation methods. Based on the survey, the motion is systematically classified according to both intrinsic factors and extrinsic factors. The decision tree classification model for firefighters’ motion is obtained by pattern recognition technique. The key features that affect the motion classification are selected by feature evaluation methods. The research lays foundation for research of firefighter’s clothing design.
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Yang, L., Zhao, T. (2011). Data Mining and Ergonomic Evaluation of Firefighter’s Motion Based on Decision Tree Classification Model. In: Shen, G., Huang, X. (eds) Advanced Research on Computer Science and Information Engineering. CSIE 2011. Communications in Computer and Information Science, vol 153. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-21411-0_35
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DOI: https://doi.org/10.1007/978-3-642-21411-0_35
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-21410-3
Online ISBN: 978-3-642-21411-0
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