神经义肢弯曲传感器的表征

2017 Electric Electronics, Computer Science, Biomedical Engineerings' Meeting (EBBT) Pub Date : 2017-04-20 DOI:10.1109/EBBT.2017.7956753

Ipek Karakus, E. Kaplanoglu, Mehmed Özkan, Burak Güçlü

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引用次数: 1

摘要

在本研究中，对一种通常用于各种应用的弯曲传感器进行了静态表征。在机械手上测量并分析了传感器的电学特性。因此，讨论了传感器应用于神经义肢的可行性。平均决定系数(R2)为0.98，平均滞后值为9.1%。对机器人手上的关节角度进行了估计，但由于传感器放置方式的原因，计算结果与实际值存在较大差异。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Characterization of a bend sensor for neuroprosthetic applications

In this study, the static characterization of a bend sensor which is commonly used for various applications was performed. Electrical properties of the sensor was measured and analyzed on a robotic hand. Thus, the feasibility of the sensor for neuroprosthetic applications was discussed. The mean coefficient of determination (R2) is 0.98 and the mean hysteresis value is 9.1 %. The joint angles on a robotic hand were estimated, but the results were different from the actual values because of the sensor placement method.

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来源期刊

2017 Electric Electronics, Computer Science, Biomedical Engineerings' Meeting (EBBT)

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