来自低成本表面肌电图的手势

2019 IEEE National Aerospace and Electronics Conference (NAECON) Pub Date : 2019-07-01 DOI:10.1109/NAECON46414.2019.9057908

S. Chawathe

{"title":"来自低成本表面肌电图的手势","authors":"S. Chawathe","doi":"10.1109/NAECON46414.2019.9057908","DOIUrl":null,"url":null,"abstract":"Low-cost and commodity off-the-shelf surface electromyographs (COTS sEMGs) may be used for unobtrusive detection of human hand gestures. Although these EMG signals are not as detailed as conventional ones, an experimental investigation of feature engineering and classification reveals that they can yield accurate hand gesture information.","PeriodicalId":193529,"journal":{"name":"2019 IEEE National Aerospace and Electronics Conference (NAECON)","volume":"22 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Hand Gestures from Low-Cost Surface-Electromyographs\",\"authors\":\"S. Chawathe\",\"doi\":\"10.1109/NAECON46414.2019.9057908\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Low-cost and commodity off-the-shelf surface electromyographs (COTS sEMGs) may be used for unobtrusive detection of human hand gestures. Although these EMG signals are not as detailed as conventional ones, an experimental investigation of feature engineering and classification reveals that they can yield accurate hand gesture information.\",\"PeriodicalId\":193529,\"journal\":{\"name\":\"2019 IEEE National Aerospace and Electronics Conference (NAECON)\",\"volume\":\"22 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2019-07-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2019 IEEE National Aerospace and Electronics Conference (NAECON)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/NAECON46414.2019.9057908\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 IEEE National Aerospace and Electronics Conference (NAECON)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/NAECON46414.2019.9057908","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}

引用次数: 0

摘要

低成本和现成的表面肌电图(COTS semg)可以用于不显眼的人类手势检测。虽然这些肌电信号不像传统的那样详细，但一项特征工程和分类的实验研究表明，它们可以产生准确的手势信息。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

查看原文本刊更多论文

Hand Gestures from Low-Cost Surface-Electromyographs

Low-cost and commodity off-the-shelf surface electromyographs (COTS sEMGs) may be used for unobtrusive detection of human hand gestures. Although these EMG signals are not as detailed as conventional ones, an experimental investigation of feature engineering and classification reveals that they can yield accurate hand gesture information.

求助全文

通过发布文献求助，成功后即可免费获取论文全文。去求助

来源期刊

2019 IEEE National Aerospace and Electronics Conference (NAECON)

自引率

0.00%

发文量