基于优化的手对手人体电路模型的开发

Deepam Yasvant Ambelal, M. Shuma-Iwisi, A. Mohamed
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引用次数: 0

摘要

所进行的工作是开发一个人体上半身的模型。该模型考虑了主体的5个位移特性和5个优化参数。该模型应用于18名健康、未截肢的参与者,用于抓取用于灯的绝缘、扁平、双芯电源线的场景,以确定由于电容耦合而产生的电磁干扰对肌电传感器的影响。实验评估了四种情况,包括用每只手抓索和抓索时两种旋转方向的组合。对每个参与者模型的唯一参数进行了微调,以达到给定某些标准的最低平均误差。所有参与者对这四种情况建模的平均误差为27.4%。单个参与者的最低平均误差为9.6%。
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Development of Hand-to-Hand Human Body Electric Circuit Model with optimisation
The work carried out was to develop a model of the human upper body. The model developed took into account five displacement characteristics of the subject, and five optimizing parameters. The model was applied on 18 healthy, un-amputated participants for the scenario of grasping an insulated, flat, two-core power cable for a lamp to determine the effect EMI has on electromyography sensors due to capacitive coupling. The experiment evaluated four cases which covered the combinations of using each hand to grasp the cable and two rotational orientations of the cable in the grasp. The unique parameters for each participant model were fine-tuned to achieve the lowest average error given certain criteria. The resulting average error across all participants for modelling the four cases was 27.4 %. The lowest average error achieved for a single participant was 9.6 %.
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