{"title":"Demo: Talk2Me - A Framework for D2D Augmented Reality Social Network","authors":"Jiayu Shu, Sokol Kosta, Rui Zheng, P. Hui","doi":"10.1109/PERCOMW.2018.8480144","DOIUrl":null,"url":null,"abstract":"In this demo, we present Talk2Me, an augmented re- ality social network framework that enables users to disseminate information in a distributed way and view others' information instantly. Talk2Me advertises users’ messages, together with theirface-signatures, to every nearby device in a Device-to–Device fashion. When a user looks at nearby persons through her camera-enabled wearable devices (e.g., Google Glass), the frame- work automatically extracts the face-signature of the person of interest, compares it with the previously captured signatures, and presents the information shared by this person to the user. We design a lightweight and yet accurate face recognition algorithm, together with an efficient distributed dissemination protocol. We integrate their implementations in an Android prototype.","PeriodicalId":190096,"journal":{"name":"2018 IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom Workshops)","volume":"128 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-03-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","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.2018.8480144","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
In this demo, we present Talk2Me, an augmented re- ality social network framework that enables users to disseminate information in a distributed way and view others' information instantly. Talk2Me advertises users’ messages, together with theirface-signatures, to every nearby device in a Device-to–Device fashion. When a user looks at nearby persons through her camera-enabled wearable devices (e.g., Google Glass), the frame- work automatically extracts the face-signature of the person of interest, compares it with the previously captured signatures, and presents the information shared by this person to the user. We design a lightweight and yet accurate face recognition algorithm, together with an efficient distributed dissemination protocol. We integrate their implementations in an Android prototype.