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Motion Analysis Using Machine Learning for Vocational Training Support

Authors:
Haruka Kataoka
Masahiro Yokoyama
Masaki Endo
Norikatsu Fujita
Hideyo Tsukazaki
Hiroshi Ishikawa

Keywords: Big data analysis; Carpenter skill; Component; Motion analysis; Planing work

Abstract:
Recently in the construction industry, because of the declining number of new employees and the aging of skilled workers, carpentry skills have not progressed. One means of transferring these skills smoothly is to train carpenter technicians at vocational skill development facilities. Nevertheless, it is difficult to spend much time at the basic tasks of carpenters, which include sharpening, chiseling, sawing, planing, and nailing, at such facilities. The development of an effective teaching method for carpentry work is desired. Therefore, we constructed a machine learning system to measure and evaluate the movements of unskilled workers. This study uses movements of skilled technicians and a questionnaire survey to evaluate the developed teaching method for tacit knowledge, i.e., intuition or knack, related to planing work.

Pages: 35 to 40

Copyright: Copyright (c) IARIA, 2020

Publication date: February 23, 2020

Published in: conference

ISSN: 2308-4448

ISBN: 978-1-61208-772-6

Location: Lisbon, Portugal

Dates: from February 23, 2020 to February 27, 2020