{"title":"演示摘要:利用加速度计数据监测智能物体的协同运动","authors":"L. E. Talavera, M. Endler, F. Silva","doi":"10.1109/PERCOMW.2015.7134026","DOIUrl":null,"url":null,"abstract":"In the Internet of Mobile Things (IoMT) applications dealing with mobile objects may benefit from information if two or more objects are in co-movement, i.e. if they are close to each other and sharing the same movement pattern during some interval of time. In this demo we demonstrate how co-movement can be reliably monitored in a mobile middleware component executing on a smartphone using Complex Event Processing over streams of accelerometer data generated by SensorTags interacting with the smartphone through Bluetooth Low Energy.","PeriodicalId":180959,"journal":{"name":"2015 IEEE International Conference on Pervasive Computing and Communication Workshops (PerCom Workshops)","volume":"66 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-03-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Demo abstract: Monitoring co-movement of smart objects using accelerometer data\",\"authors\":\"L. E. Talavera, M. Endler, F. Silva\",\"doi\":\"10.1109/PERCOMW.2015.7134026\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In the Internet of Mobile Things (IoMT) applications dealing with mobile objects may benefit from information if two or more objects are in co-movement, i.e. if they are close to each other and sharing the same movement pattern during some interval of time. In this demo we demonstrate how co-movement can be reliably monitored in a mobile middleware component executing on a smartphone using Complex Event Processing over streams of accelerometer data generated by SensorTags interacting with the smartphone through Bluetooth Low Energy.\",\"PeriodicalId\":180959,\"journal\":{\"name\":\"2015 IEEE International Conference on Pervasive Computing and Communication Workshops (PerCom Workshops)\",\"volume\":\"66 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2015-03-23\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2015 IEEE International Conference on Pervasive Computing and Communication Workshops (PerCom Workshops)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/PERCOMW.2015.7134026\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2015 IEEE International Conference on Pervasive Computing and Communication Workshops (PerCom Workshops)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/PERCOMW.2015.7134026","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Demo abstract: Monitoring co-movement of smart objects using accelerometer data
In the Internet of Mobile Things (IoMT) applications dealing with mobile objects may benefit from information if two or more objects are in co-movement, i.e. if they are close to each other and sharing the same movement pattern during some interval of time. In this demo we demonstrate how co-movement can be reliably monitored in a mobile middleware component executing on a smartphone using Complex Event Processing over streams of accelerometer data generated by SensorTags interacting with the smartphone through Bluetooth Low Energy.