{"title":"A Study of CNN-Based Human Behavior Recognition with Channel State Information","authors":"K. Hwang, Sang-Chul Kim","doi":"10.1109/ICOIN50884.2021.9333879","DOIUrl":null,"url":null,"abstract":"In this paper, we studied a model that can distinguish several different human behaviors. We trained data [1] using the Convolutional Neural Network algorithm. The suggested model showed 94.597% accuracy in distinguishing seven different human activities.","PeriodicalId":6741,"journal":{"name":"2021 International Conference on Information Networking (ICOIN)","volume":"300 1","pages":"749-751"},"PeriodicalIF":0.0000,"publicationDate":"2021-01-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"6","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 International Conference on Information Networking (ICOIN)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICOIN50884.2021.9333879","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 6
Abstract
In this paper, we studied a model that can distinguish several different human behaviors. We trained data [1] using the Convolutional Neural Network algorithm. The suggested model showed 94.597% accuracy in distinguishing seven different human activities.
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