Identification of joints and their positions

A. Ortega-Gonzalez, U. Robles-Cervantes, I.N. Espiritu-Lopez, M. Ibarra-Manzano
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Abstract

This article presents the implementation of an algorithm for the classification of flexion angles in the joints. The proposed algorithm statistical models the data coming from a fiber sensor to detect flexion in a join. The system filters, models and classifies the signals of a fiber sensor, in addition to comparing the results of the classification for different joints.
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识别关节及其位置
本文介绍了一种用于关节屈曲角度分类的算法的实现。该算法对来自光纤传感器的数据进行统计建模,以检测连接处的弯曲。该系统对光纤传感器的信号进行滤波、建模和分类,并对不同关节的分类结果进行比较。
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