ロボティクス・メカトロニクス講演会講演概要集
Online ISSN : 2424-3124
セッションID: 2P1-03a7
会議情報

線形判別分析法(LDA)による重量物持ち上げ姿勢の異常検知システムに関する検討
渡辺 宗一郎丁 憙勇鳥飼 一男林 雅信山田 憲嗣大野 ゆう子
著者情報
キーワード: Monitoring, LDA, Objective Measuring
会議録・要旨集 フリー

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The main purpose of the present study was to propose a recognizing method to analyze characteristics of symmetric lifting of skilled logistic experts. Although good posture helps reduce the intradiscal loads on lumbar discs but logistic workers did not know good or not. Methods : Six skilled logistic experts and six unskilled beginners were participated in lifting up a heavy load. The linear discriminant analysis (LDA) was designed by seven indices. This experimental system was practical, reliable, and cheap. Results : As a result, it was found that difference of symmetric lifting between skilled experts and unskilled beginners with the error rate of 0.05. Discussion : It was discussed that not only most of unskilled beginners had mainly characteristics of poor lifting posture, but also the proposed method showed a high possibility to self-evaluate the symmetric lifting in order to check whether the posture of logistic worker is proper or not.

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© 2016 一般社団法人 日本機械学会
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