Flexible wide-range multidimensional force sensors inspired by bones embedded in muscle.

IF 7.3 1区 工程技术 Q1 INSTRUMENTS & INSTRUMENTATION
Microsystems & Nanoengineering Pub Date : 2024-05-22 eCollection Date: 2024-01-01 DOI:10.1038/s41378-024-00711-7
Jie Zhang, Xiaojuan Hou, Shuo Qian, Jiabing Huo, Mengjiao Yuan, Zhigang Duan, Xiaoguang Song, Hui Wu, Shuzheng Shi, Wenping Geng, Jiliang Mu, Jian He, Xiujian Chou
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Abstract

Flexible sensors have been widely studied for use in motion monitoring, human‒machine interactions (HMIs), personalized medicine, and soft intelligent robots. However, their practical application is limited by their low output performance, narrow measuring range, and unidirectional force detection. Here, to achieve flexibility and high performance simultaneously, we developed a flexible wide-range multidimensional force sensor (FWMFS) similar to bones embedded in muscle structures. The adjustable magnetic field endows the FWMFS with multidimensional perception for detecting forces in different directions. The multilayer stacked coils significantly improved the output from the μV to the mV level while ensuring FWMFS miniaturization. The optimized FWMFS exhibited a high voltage sensitivity of 0.227 mV/N (0.5-8.4 N) and 0.047 mV/N (8.4-60 N) in response to normal forces ranging from 0.5 N to 60 N and could detect lateral forces ranging from 0.2-1.1 N and voltage sensitivities of 1.039 mV/N (0.2-0.5 N) and 0.194 mV/N (0.5-1.1 N). In terms of normal force measurements, the FWMFS can monitor finger pressure and sliding trajectories in response to finger taps, as well as measure plantar pressure for assessing human movement. The plantar pressure signals of five human movements collected by the FWMFS were analyzed using the k-nearest neighbors classification algorithm, which achieved a recognition accuracy of 92%. Additionally, an artificial intelligence biometric authentication system is being developed that classifies and recognizes user passwords. Based on the lateral force measurement ability of the FWMFS, the direction of ball movement can be distinguished, and communication systems such as Morse Code can be expanded. This research has significant potential in intelligent sensing and personalized spatial recognition.

Abstract Image

灵活的大范围多维力传感器,灵感来自嵌入肌肉的骨骼。
柔性传感器已被广泛研究用于运动监测、人机交互(HMI)、个性化医疗和软智能机器人。然而,由于输出性能低、测量范围窄和单向力检测等原因,它们的实际应用受到了限制。为了同时实现灵活性和高性能,我们开发了一种类似于肌肉结构中嵌入骨骼的柔性宽范围多维力传感器(FWMFS)。可调磁场赋予了 FWMFS 多维感知能力,可检测不同方向的力。在确保 FWMFS 小型化的同时,多层叠加线圈大大提高了从 μV 到 mV 级的输出。优化后的 FWMFS 对 0.5 N 至 60 N 的法向力具有 0.227 mV/N(0.5-8.4 N)和 0.047 mV/N(8.4-60 N)的高电压灵敏度,可检测 0.2-1.1 N 的侧向力,电压灵敏度分别为 1.039 mV/N(0.2-0.5 N)和 0.194 mV/N(0.5-1.1 N)。在法向力测量方面,FWMFS 可以监测手指压力和手指敲击时的滑动轨迹,还可以测量足底压力以评估人体运动。FWMFS 采集的五个人体动作的足底压力信号采用 k 近邻分类算法进行分析,识别准确率达到 92%。此外,正在开发一种人工智能生物识别认证系统,可对用户密码进行分类和识别。基于 FWMFS 的横向力测量能力,可以区分球的运动方向,并扩展摩斯密码等通信系统。这项研究在智能传感和个性化空间识别方面具有巨大潜力。
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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来源期刊
Microsystems & Nanoengineering
Microsystems & Nanoengineering Materials Science-Materials Science (miscellaneous)
CiteScore
12.00
自引率
3.80%
发文量
123
审稿时长
20 weeks
期刊介绍: Microsystems & Nanoengineering is a comprehensive online journal that focuses on the field of Micro and Nano Electro Mechanical Systems (MEMS and NEMS). It provides a platform for researchers to share their original research findings and review articles in this area. The journal covers a wide range of topics, from fundamental research to practical applications. Published by Springer Nature, in collaboration with the Aerospace Information Research Institute, Chinese Academy of Sciences, and with the support of the State Key Laboratory of Transducer Technology, it is an esteemed publication in the field. As an open access journal, it offers free access to its content, allowing readers from around the world to benefit from the latest developments in MEMS and NEMS.
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