An any-resolution pressure localization scheme using a soft capacitive sensor skin

H. Sonar, Michelle C. Yuen, Rebecca Kramer‐Bottiglio, J. Paik
{"title":"An any-resolution pressure localization scheme using a soft capacitive sensor skin","authors":"H. Sonar, Michelle C. Yuen, Rebecca Kramer‐Bottiglio, J. Paik","doi":"10.1109/ROBOSOFT.2018.8404915","DOIUrl":null,"url":null,"abstract":"We present a method to determine the location of an applied pressure on a large-area, monolithic, silicone-based capacitive sensor. In contrast to pressure sensor arrays composed of n × n discrete sensors, we utilize a single sensor body with a single instrumentation interface to detect n pixels. We interrogate the capacitive sensor at different frequencies, thus modulating the effective length of the sensor. These interrogation frequencies are governed by the sensor's total capacitance and resistance, and the desired spatial resolution. We developed an analytical model to calculate the frequency response at different length segments of the sensor and used the results to determine the interrogation frequencies for experimental studies. We performed experimental tests on a 1 × n sensor strip and an n × n sensor sheet and showed greater than 90% accuracy in predicting the location of the applied pressure using a model generated by a multi-class kernel support vector machine. This approach towards distributed localization of point pressures greatly reduces the hardware complexity in comparison to discrete sensor arrays and increases the physical robustness of the system.","PeriodicalId":306255,"journal":{"name":"2018 IEEE International Conference on Soft Robotics (RoboSoft)","volume":"64 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-04-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"13","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 IEEE International Conference on Soft Robotics (RoboSoft)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ROBOSOFT.2018.8404915","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 13

Abstract

We present a method to determine the location of an applied pressure on a large-area, monolithic, silicone-based capacitive sensor. In contrast to pressure sensor arrays composed of n × n discrete sensors, we utilize a single sensor body with a single instrumentation interface to detect n pixels. We interrogate the capacitive sensor at different frequencies, thus modulating the effective length of the sensor. These interrogation frequencies are governed by the sensor's total capacitance and resistance, and the desired spatial resolution. We developed an analytical model to calculate the frequency response at different length segments of the sensor and used the results to determine the interrogation frequencies for experimental studies. We performed experimental tests on a 1 × n sensor strip and an n × n sensor sheet and showed greater than 90% accuracy in predicting the location of the applied pressure using a model generated by a multi-class kernel support vector machine. This approach towards distributed localization of point pressures greatly reduces the hardware complexity in comparison to discrete sensor arrays and increases the physical robustness of the system.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
一种使用软电容式传感器表皮的任意分辨率压力定位方案
我们提出了一种方法来确定一个应用压力的位置在一个大面积,单片,硅基电容传感器。与由n × n个离散传感器组成的压力传感器阵列相比,我们利用单个传感器体和单个仪表接口来检测n个像素。我们在不同的频率下询问电容式传感器,从而调制传感器的有效长度。这些询问频率由传感器的总电容和电阻以及所需的空间分辨率控制。我们建立了一个分析模型来计算传感器不同长度段的频率响应,并利用结果确定用于实验研究的询问频率。我们在1 × n传感器条和n × n传感器片上进行了实验测试,使用多类核支持向量机生成的模型预测施加压力位置的准确率超过90%。与离散传感器阵列相比,这种针对点压力的分布式定位方法大大降低了硬件复杂性,并增加了系统的物理鲁棒性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Low profile stretch sensor for soft wearable robotics MultiTip: A multimodal mechano-thermal soft fingertip Trajectory tracking of a one-DOF manipulator using multiple fishing line actuators by iterative learning control Effect of base rotation on the controllability of a redundant soft robotic arm Strain sensor-embedded soft pneumatic actuators for extension and bending feedback
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1