integrated structure for recognition of different joint motion states with the assistance of a deep learning algorithm
作者机构：SEU-FEI Nano-Pico CenterKey Laboratory of MEMS of Ministry of EducationSchool of Electronic Science&EngineeringSoutheast UniversityNanjing 210096P.R.China
出 版 物：《Microsystems & Nanoengineering》 (微系统与纳米工程（英文）)
年 卷 期：2022年第8卷第1期
页 面：317-330页
核心收录：
学科分类：080202[工学-机械电子工程] 08[工学] 0802[工学-机械工程]
基 金：We acknowledge the funding provided by the National Key Research and Development Program of China(Grant No.2020YFB2008502) Jiangsu Provincial Natural Science Foundation of China(Grant No.BK20201268) National Natural Science Foundation of China(Grant No.12174050)
摘 要：Accurate motion feature extraction and recognition provide critical information for many scientific ***,a new paradigm for a wearable seamless multimode sensor with the ability to decouple pressure and strain stimuli and recognize the different joint motion states is *** wearable sensor is integrated into a unique seamless structure consisting of two main parts(a resistive component and a capacitive component)to decouple the different stimuli by an independent resistance-capacitance sensing *** sensor exhibits both high strain sensitivity(GF=7.62,0-140%strain)under the resistance mechanism and high linear pressure sensitivity(S=3.4 kPa^(-1),0-14 kPa)under the capacitive *** sensor can differentiate the motion characteristics of the positions and states of different joints with precise recognition(97.13%)with the assistance of machine learning *** unique integrated seamless structure is achieved by developing a layer-bylayer casting process that is suitable for large-scale *** proposed wearable seamless multimode sensor and the convenient process are expected to contribute significantly to developing essential components in various emerging research fields,including soft robotics,electronic skin,health care,and innovative sports systems applications.
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