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首页> 外文期刊>Intelligent Service Robotics >Symmetric lifting posture recognition of skilled experts with linear discriminant analysis by center-of-pressure velocity
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Symmetric lifting posture recognition of skilled experts with linear discriminant analysis by center-of-pressure velocity

机译:通过压力中心速度的线性判别分析对称提升姿势识别技术专家

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摘要

Although it has been well known that novices should train a good lifting posture, there was little way to recognize whether the current posture was good or not based on measured data. The purpose of this paper was to classify the difference between skilled experts working at a freight transport company and unskilled novices without any experience during symmetric lifting by using center-of-pressure (CoP) velocities. All the human subjects performed symmetric lifting experiments with closed eyes; the experiments involved lifting loads (6 and 18 kg) to the upside. Time series data of the CoP position were measured, using a Wii Balance Board, and then, the CoP velocities were calculated. The linear discriminant analysis (LDA) was designed by seven indices which were derived from CoP velocities that reflected the center-of-mass acceleration. The result indicated that the designed LDA discriminated the difference in posture between the two groups with the low error rate (0.100 and 0.017) for classification under 6 and 18 kg. Based on measurement results of CoP trajectories, we inferred that the difference in theCoP velocities between the two groups could be attributed to the difference in the balance ability which means that most skilled experts place their body weight on their rearfeet during symmetric lifting. The LDA classifier designed by CoP velocities was helpful for recognition of the difference between skilled experts and unskilled novices during symmetric lifting. Because the skillful characteristics of experts may be responsible for the lightening of the burden on the waist during lifting, it is considered for the regular check of posture to be helpful for reducing the ratio of occupational low back pain at the workplace.
机译:虽然众所周知,新手应该训练一个良好的提升姿势,但几乎没有办法认识到当前的姿势是否良好或不基于测量数据。本文的目的是对运输公司和非熟练的新手工作的熟练专家之间的差异,无需使用压力中心(COP)速度在对称提升期间的任何经验。所有人类受试者都用闭合眼睛进行对称提升实验;实验涉及将负载(6和18千克)提升到上行状态。使用Wii平衡板测量COP位置的时间序列数据,然后计算COP速度。线性判别分析(LDA)由七个索引设计,该指数衍生自反映质量加速度的Cop速度。结果表明,设计的LDA在6至18千克下的分类中歧视两组之间的姿势姿势差异(0.100和0.017)。基于COP轨迹的测量结果,我们推断两组之间的速度差异可归因于平衡能力的差异,这意味着在对称提升期间最熟练的专家将体重放在其后级的身体重量。由COP速度设计的LDA分类器有助于在对称提升期间识别熟练专家和非熟练的新手之间的差异。由于专家的熟练特性可能负责在提升期间腰部负担的亮起,因此考虑定期检查姿势,有助于降低工作场所职业低腰疼痛的比率。

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