{"title":"基于Wi-Fi CSI的位置无关手势识别的初步研究","authors":"Kazuya Ohara, T. Maekawa, S. Sigg, M. Youssef","doi":"10.1109/PERCOMW.2018.8480253","DOIUrl":null,"url":null,"abstract":"This study investigates the feasibility of hand gesture recognition independent of the user position using Wi-Fi channel state information (CSI) obtained from a smartphone carried by a user. In this paper, we investigate the effectiveness of the component corresponding to the velocity of hand movements extracted from CSI for gesture recognition.","PeriodicalId":190096,"journal":{"name":"2018 IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom Workshops)","volume":"21 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-03-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":"{\"title\":\"Preliminary Investigation of Position Independent Gesture Recognition Using Wi-Fi CSI\",\"authors\":\"Kazuya Ohara, T. Maekawa, S. Sigg, M. Youssef\",\"doi\":\"10.1109/PERCOMW.2018.8480253\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This study investigates the feasibility of hand gesture recognition independent of the user position using Wi-Fi channel state information (CSI) obtained from a smartphone carried by a user. In this paper, we investigate the effectiveness of the component corresponding to the velocity of hand movements extracted from CSI for gesture recognition.\",\"PeriodicalId\":190096,\"journal\":{\"name\":\"2018 IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom Workshops)\",\"volume\":\"21 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2018-03-19\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"5\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2018 IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom Workshops)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/PERCOMW.2018.8480253\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom Workshops)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/PERCOMW.2018.8480253","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Preliminary Investigation of Position Independent Gesture Recognition Using Wi-Fi CSI
This study investigates the feasibility of hand gesture recognition independent of the user position using Wi-Fi channel state information (CSI) obtained from a smartphone carried by a user. In this paper, we investigate the effectiveness of the component corresponding to the velocity of hand movements extracted from CSI for gesture recognition.