Indoor Device-Free Activity Recognition Based on Radio Signal.

	Indoor Device-Free Activity Recognition Based on Radio Signal.
	Xiaoxia Huang; Mingwei Dai
刊名	IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY
	2017
文献子类	期刊论文
英文摘要	Abstract: Activity recognition based on wireless signal has received many attention recently. Only requiring some modification on AP, this type of approaches is applicable to indoor environment. Many approaches require the Line-of-Sight (LOS) signal, while activity recognition based on wireless signal in Non-Line-of-Sight (NLOS) environment remains a challenging problem. More importantly, how to distinguish the velocity of human is still an open problem. In this paper, we present an approach for device-free movement recognition leveraging the radio frequency (RF) signal in the NLOS environment. We extract features from the received packet to classify different moving directions and velocities. We propose to distinguish human height based on the frequency feature of the received packet as well. Our experiment shows that the proposed approach can achieve high accuracy of human activity recognition even considering people with different height.
URL标识	查看原文
语种	英语
内容类型	期刊论文
源URL	[http://ir.siat.ac.cn:8080/handle/172644/12544]
专题	深圳先进技术研究院_数字所
作者单位	IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY
推荐引用方式 GB/T 7714	Xiaoxia Huang, Mingwei Dai. Indoor Device-Free Activity Recognition Based on Radio Signal.[J]. IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY,2017.
APA	Xiaoxia Huang,& Mingwei Dai.(2017).Indoor Device-Free Activity Recognition Based on Radio Signal..IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY.
MLA	Xiaoxia Huang,et al."Indoor Device-Free Activity Recognition Based on Radio Signal.".IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY (2017).