大地测量与地球动力学2024，Vol.44Issue(9)：932-936,5.DOI:10.14075/j.jgg.2023.12.566
基于LSTM与CNN融合的智能手机步态身份识别
Smartphone Gait Recognition Based on LSTM and CNN Fusion
摘要
Abstract
We propose a gait recognition model that fuses long short-term memory(LSTM)and convo-lutional neural network(CNN),the model can automatically extract activity features and classify them using a small number of model parameters,and we utilize this model for user identification.The ex-perimental results show that the recognition accuracy of the model is about 97.68％and the loss value is about 0.05,which significantly improves the recognition rate compared to other models.关键词
智能手机/LSTM/CNN/身份识别Key words
smartphone/LSTM/CNN/gait recognition分类
天文与地球科学引用本文复制引用
王佳宇,王庆,孟晓林,许九靖,张凯..基于LSTM与CNN融合的智能手机步态身份识别[J].大地测量与地球动力学,2024,44(9):932-936,5.基金项目
江苏省科技计划专项(BE2022820). Special Fund for Science and Technology of Jiangsu Province,No.BE2022820. （BE2022820）
