传感技术学报2026，Vol.39Issue(2)：263-271,9.DOI:10.3969/j.issn.1004-1699.2026.02.006
基于柔性压阻式压力传感器的手写字母识别
Handwritten Letter Recognition Based on Flexible Piezoresistive Pressure Sensor
摘要
Abstract
Flexible pressure sensors face great challenges in the fields of human-computer interaction and handwriting recognition,and have important application prospects.In order to improve the recognition accuracy and capture the characteristic information of hand-written characters in human-computer interaction,a handwritten letter recognition technique for flexible pressure sensors based on the residual network(ResNet)model is proposed.A flexible piezoresistive pressure sensor with high sensitivity(3.22％kPa-1),fast response speed(110 ms),and good stability is prepared by using a cost-effective solution impregnation and drying method.By handwrit-ing 26 English letters on the surface of the sensor,2 600 sets of voltage time series data output from the sensor are collected as experi-mental samples.On this basis,a residual network model is established to classify and recognise the 26 English letters applied to the sen-sor surface,and the average recognition accuracy reaches 97.88％.The experimental results show that the flexible pressure sensor de-signed and prepared is able to accurately sense and detect the contact patterns of different English letters.The ResNet model construc-ted has excellent generalisation ability,and demonstrates high efficient application potential in the study of handwritten character recog-nition by flexible pressure sensor.关键词
柔性压力传感器/手写字母/残差网络模型/时间序列/分类识别Key words
flexible pressure sensor/handwritten letters/residual network model/time series/classification recognition分类
信息技术与安全科学引用本文复制引用
宋杨,朱井根,王菲露,刘梦茹,户安洋..基于柔性压阻式压力传感器的手写字母识别[J].传感技术学报,2026,39(2):263-271,9.基金项目
安徽省高校中青年教师培养行动项目(DTR2025026) （DTR2025026）
安徽建筑大学科研储备库培育项目(2025XMK03) （2025XMK03）
安徽新时代育人质量工程项目(研究生教育:2023szsfkc091) （研究生教育:2023szsfkc091）
安徽省高校自然科学研究重点项目(2023AH050180) （2023AH050180）
安徽建筑大学质量工程项目(2023jy15) （2023jy15）
