Detecting bends and fabric folds using stitched sensors

Detecting bends and fabric folds using stitched sensors
复制标题

使用缝合传感器检测弯曲和织物褶皱

DOI:
--
复制
发表时间:
2013
期刊:
International Semantic Web Conference
影响因子:
--
通讯作者:
Lucy E. Dunne
Lucy E. Dunne
中科院分区:
--
文献类型:
--
作者:
Guido Gioberto;James P. Coughlin;K. Bibeau;Lucy E. Dunne

文献摘要

被引文献

相似文献

在本文中,我们描述了一种新的方法来检测弯曲和折叠的织物结构。弯曲和折叠可用于直接检测人体关节角度,或检测由于织物折叠而导致的其他关节运动传感器的信号中可能的误差。通过测量织物表面上的复杂针脚的电阻变化来实现检测,所述复杂针脚由使用非绝缘导电纱线的工业包缝机形成。我们评估了自相交的褶皱,导致传感器短路,产生准二进制电阻响应,和非接触弯曲,使缝合结构变形,导致更线性的响应。在机器人人体模型和人的背侧和侧膝上测量由人类运动产生的折叠和弯曲。初步结果是有希望的。在对机械人体模型和人体进行测试期间,背部和侧面缝线均显示出可重复的特征。
In this paper we describe a novel method for detecting bends and folds in fabric structures. Bending and folding can be used to detect human joint angles directly, or to detect possible errors in the signals of other joint-movement sensors due to fabric folding. Detection is achieved through measuring changes in the resistance of a complex stitch, formed by an industrial coverstitch machine using an un-insulated conductive yarn, on the surface of the fabric. We evaluate self-intersecting folds which cause short-circuits in the sensor, creating a quasi-binary resistance response, and non-contact bends, which deform the stitch structure and result in a more linear response. Folds and bends created by human movement were measured on the dorsal and lateral knee of both a robotic mannequin and a human. Preliminary results are promising. Both dorsal and lateral stitches showed repeatable characteristics during testing on a mechanical mannequin and a human.