传感器阵列
压力传感器
足底压力
计算机科学
规范化(社会学)
随机森林
小波变换
步态
聚酰亚胺
信号(编程语言)
材料科学
生物医学工程
小波
人工智能
声学
工程类
图层(电子)
纳米技术
机械工程
社会学
人类学
物理
机器学习
程序设计语言
生物
生理学
作者
Wei Wang,Yineng Xiao,Xiaoming Wang,Fang‐Ming Deng
出处
期刊:Sensors
[MDPI AG]
日期:2021-09-06
卷期号:21 (17): 5964-5964
被引量:5
摘要
This paper presents a hydrogel-based flexible sensor array to detect plantar pressure distribution and recognize the gait patterns to assist those who suffer from gait disorders to rehabilitate better. The traditional pressure detection array is composed of rigid metal sensors, which have poor biocompatibility and expensive manufacturing costs. To solve the above problems, we have designed and fabricated a novel flexible sensor array based on AAM/NaCl (Acrylamide/Sodium chloride) hydrogel and PI (Polyimide) membrane. The proposed array exhibits excellent structural flexibility (209 KPa) and high sensitivity (12.3 mV·N-1), which allows it to be in full contact with the sole of the foot to collect pressure signals accurately. The Wavelet Transform-Random Forest (WT-RF) algorithm is introduced to recognize the gaits based on the plantar pressure signals. Wavelet transform realizes the signal filtering and normalization, and random forest is responsible for the classification of the processed signals. The classification accuracy of the WT-RF algorithm reaches 91.9%, which ensures the precise recognition of gaits.
科研通智能强力驱动
Strongly Powered by AbleSci AI