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Linear discriminant analysis for symmetric lifting recognition of skilled logistic experts by center of pressure trajectory

机译:线性判别分析,通过压力轨迹中心对称地识别熟练的物流专家

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Goal: The main purpose of the present study was to propose a recognizing method to analyze characteristics of symmetric lifting of skilled logistic experts by center of pressure (CoP) trajectories. Although it has been known that good posture helps reduce the intradiscal loads on lumbar discs, the most significant problem was that most of logistic workers did not know whether the current posture was proper or not. Methods : The experiment of lifting was performed three times under 18 kg loads with closed eyes. Six skilled logistic experts and six unskilled beginners were participated in. The linear discriminant analysis (LDA) was designed by seven indices which were derived from measured CoP trajectories with the Wii Balance Board. The strong point of experimental system was practical, reliable, and cheap. Results : As a result, it was found that the designed LDA discriminated difference of symmetric lifting between skilled experts and unskilled beginners with the error rate of 0.005. 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 current posture of logistic worker is proper or not.
机译:目的:本研究的主要目的是提出一种识别方法,以通过压力中心(CoP)轨迹分析熟练的物流专家的对称举升特性。尽管众所周知,良好的姿势有助于减轻腰椎间盘的椎间盘内负荷,但最重要的问题是,大多数物流工人不知道当前的姿势是否合适。方法:闭眼试验在18 kg负荷下进行了三次提升实验。六名熟练的物流专家和六名非熟练的初学者参加了会议。线性判别分析(LDA)由七个指标设计而成,该七个指标是通过Wii平衡板从测得的CoP轨迹得出的。实验系统的强项是实用,可靠和便宜。结果:结果发现,设计的LDA区分熟练的专家和不熟练的初学者之间的对称提升差异,错误率为0.005。讨论:讨论的对象不仅是大多数不熟练的初学者,主要具有举重姿势差的特征,而且所提出的方法显示出很高的可能性,可以自我评估对称举升,以检查物流工人当前的姿势是否合适。不是。

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