Li Sun, Souvik Sen, Dimitrios Koutsonikolas, Kyu-Han Kim
{"title":"海报:在WiFi设备上实现免提绘图","authors":"Li Sun, Souvik Sen, Dimitrios Koutsonikolas, Kyu-Han Kim","doi":"10.1145/2801694.2802144","DOIUrl":null,"url":null,"abstract":"We present the high-level design of WiDraw, the first 3D hand motion tracking system using COTS WiFi cards, proposed in [3]. WiDraw can track hand gestures without a priori learning or requiring the user to hold any hardware. It can be implemented on existing mobile devices using only a software patch. WiDraw exploits the Angle-of-Arrival values of incomingWiFi signals at aWiFi device and enables hand trajectory tracking in both LOS and NLOS scenarios. WiDraw's high tracking accuracy allows the users to send arbitrary input to their WiFi devices, opening up a whole new class of applications in human-computer interactions.","PeriodicalId":62224,"journal":{"name":"世界中学生文摘","volume":"1 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2015-09-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Poster: Enabling Hands-free Drawing on WiFi Devices\",\"authors\":\"Li Sun, Souvik Sen, Dimitrios Koutsonikolas, Kyu-Han Kim\",\"doi\":\"10.1145/2801694.2802144\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"We present the high-level design of WiDraw, the first 3D hand motion tracking system using COTS WiFi cards, proposed in [3]. WiDraw can track hand gestures without a priori learning or requiring the user to hold any hardware. It can be implemented on existing mobile devices using only a software patch. WiDraw exploits the Angle-of-Arrival values of incomingWiFi signals at aWiFi device and enables hand trajectory tracking in both LOS and NLOS scenarios. WiDraw's high tracking accuracy allows the users to send arbitrary input to their WiFi devices, opening up a whole new class of applications in human-computer interactions.\",\"PeriodicalId\":62224,\"journal\":{\"name\":\"世界中学生文摘\",\"volume\":\"1 1\",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2015-09-11\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"世界中学生文摘\",\"FirstCategoryId\":\"90\",\"ListUrlMain\":\"https://doi.org/10.1145/2801694.2802144\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"世界中学生文摘","FirstCategoryId":"90","ListUrlMain":"https://doi.org/10.1145/2801694.2802144","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Poster: Enabling Hands-free Drawing on WiFi Devices
We present the high-level design of WiDraw, the first 3D hand motion tracking system using COTS WiFi cards, proposed in [3]. WiDraw can track hand gestures without a priori learning or requiring the user to hold any hardware. It can be implemented on existing mobile devices using only a software patch. WiDraw exploits the Angle-of-Arrival values of incomingWiFi signals at aWiFi device and enables hand trajectory tracking in both LOS and NLOS scenarios. WiDraw's high tracking accuracy allows the users to send arbitrary input to their WiFi devices, opening up a whole new class of applications in human-computer interactions.
求助内容：
应助结果提醒方式：
京公网安备 11010802042870号
