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基于新型柔性触觉传感器的摩尔斯电码分类识别研究

王菲露 孙牛平 宋杨 蒋秀丽 章王勇 章英

传感技术学报2024,Vol.37Issue(4):569-580,12.
传感技术学报2024,Vol.37Issue(4):569-580,12.DOI:10.3969/j.issn.1004-1699.2024.04.003

基于新型柔性触觉传感器的摩尔斯电码分类识别研究

Morse Code Classification and Recognition Based on a Novel Flexible Tactile Sensor

王菲露 1孙牛平 1宋杨 1蒋秀丽 1章王勇 1章英1

作者信息

  • 1. 安徽建筑大学电子与信息工程学院,安徽 合肥 230601
  • 折叠

摘要

Abstract

Tactile perception is an important way for people to connect with the outside world.it is important to give the robot touch per-ception ability in the human-machine interaction system.Based on the piezoelectric characteristics of polyvinylidene fluoride(PVDF),a new piezoelectric flexible touch sensor with high sensitivity(15.02 mV/N)is designed and prepared by using 3D printing technology.By tapping the Morse code of the"0-9"number on the surface of the sensor,the 4 000-dimensional voltage time series signals from 3 000 sets of sensors are collected as the experimental sample set.On this basis,a fusion network model of Convolutional Neural Net-work(CNN)and Gated Recurrent Unit(GRU)with strong feature extraction ability is constructed,which is used to recognize the Morse code of the number"0~9",and the average recognition accuracy is 98.17%.The results show that the new flexible tactile sensor studied can accurately perceive and distinguish the knock modes of different Morse codes,CNN-GRU can be well applied to the classification and recognition of contact modes of flexible tactile sensors because of its time series memory ability.

关键词

压电式柔性触觉传感器/分类识别/CNN-GRU模型/摩尔斯电码/接触模式

Key words

piezoelectric flexible tactile sensor/classification recognition/CNN-GRU Model/Morse code/contact mode

分类

信息技术与安全科学

引用本文复制引用

王菲露,孙牛平,宋杨,蒋秀丽,章王勇,章英..基于新型柔性触觉传感器的摩尔斯电码分类识别研究[J].传感技术学报,2024,37(4):569-580,12.

基金项目

安徽省高校自然科学研究(重点)项目(2023AH050180) (重点)

安徽省住房城乡建设科学技术计划项目(2021-YF24,2022-YF168) (2021-YF24,2022-YF168)

安徽省新时代育人(研究生教育)质量工程项目(2022qyw/sysfkc029,2023szsfkc103,2023xscx111) (研究生教育)

安徽建筑大学质量工程项目(2023jy15) (2023jy15)

传感技术学报

OA北大核心CSTPCD

1004-1699

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