{"title":"一种基于神经网络的人体运动角预测方法,利用实时获得的表面肌电信号进行特征提取处理,充分利用表面肌电信号的机械延迟","authors":"Naoki Ikeda, T. Sadahiro","doi":"10.15748/jasse.10.102","DOIUrl":null,"url":null,"abstract":"","PeriodicalId":41942,"journal":{"name":"Journal of Advanced Simulation in Science and Engineering","volume":"1 1","pages":""},"PeriodicalIF":0.4000,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"A human motion angle prediction method using a neural network and feature-extraction-processed sEMG obtained in real time to utilize mechanical delay of sEMG\",\"authors\":\"Naoki Ikeda, T. Sadahiro\",\"doi\":\"10.15748/jasse.10.102\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"\",\"PeriodicalId\":41942,\"journal\":{\"name\":\"Journal of Advanced Simulation in Science and Engineering\",\"volume\":\"1 1\",\"pages\":\"\"},\"PeriodicalIF\":0.4000,\"publicationDate\":\"2023-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Advanced Simulation in Science and Engineering\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.15748/jasse.10.102\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q4\",\"JCRName\":\"ENGINEERING, MULTIDISCIPLINARY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Advanced Simulation in Science and Engineering","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.15748/jasse.10.102","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"ENGINEERING, MULTIDISCIPLINARY","Score":null,"Total":0}
A human motion angle prediction method using a neural network and feature-extraction-processed sEMG obtained in real time to utilize mechanical delay of sEMG