计算机科学
跟踪(教育)
鉴定(生物学)
弹道
软件部署
移动设备
计算机视觉
干扰(通信)
视频跟踪
人工智能
目标检测
实时计算
对象(语法)
模式识别(心理学)
电信
教育学
物理
频道(广播)
操作系统
天文
生物
心理学
植物
作者
Ziyang Chen,Panlong Yang,Jie Xiong,Yuanhao Feng,Xiang‐Yang Li
标识
DOI:10.1109/infocom41043.2020.9155531
摘要
RFID technology has recently been exploited for not only identification but also for sensing including trajectory tracking and gesture recognition. While contact-based (an RFID tag is attached to the target of interest) sensing has achieved promising results, contactless sensing still faces severe challenges such as low accuracy and the situation gets even worse when the target is non-static, restricting its applicability in real world deployment. In this work, we present TagRay, a contactless RFID-based sensing system, which significantly improves the tracking accuracy, enabling mobile object tracking and even material identification. We design and implement our prototype on commodity RFID device. Comprehensive experiments show that TagRay achieves a high accuracy of 1.3 cm which is a 200% improvement over the-state-of-arts for trajectory tracking. For commonly seen four material types, the material identification accuracy is higher than 95% even with interference from people moving around.
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