Discovering Human Presence Activities with Smartphones Using   Nonintrusive Wi-Fi Sniffer Sensors: The Big Data Prospective

doi:10.1155/2013/927940

CORC > 北京大学 > 软件与微电子学院

	Discovering Human Presence Activities with Smartphones Using Nonintrusive Wi-Fi Sniffer Sensors: The Big Data Prospective
	Qin, Weijun ; Zhang, Jiadi ; Li, Bo ; Sun, Limin
刊名	international journal of distributed sensor networks
	2013
DOI	10.1155/2013/927940
英文摘要	With the explosive growth and wide-spread use of smartphones with Wi-Fi enabled, people are used to accessing the internet through Wi-Fi network interfaces of smartphones. Smartphones periodically transmit Wi-Fi messages, even when not connected to a network. In this paper, we describe the Mo-Fi system which monitors and aggregates large numbers of continuous Wi-Fi message transmissions from nearby smartphones in the area of interest using nonintrusive Wi-Fi sniffer sensors. In this paper, we propose an optimized Wi-Fi channel detection and selection method to switch the best channels automatically to aggregate the Wi-Fi messages based on channel data transmission weights and human presence activity classification method based on the features of human dwell duration sequences in order to evaluate the user engagement index. By deploying in the real-world office environment, we found that the performance of Wi-Fi messages aggregation of CAOCA and CACFA algorithms is over 3.8 times higher than the worst channel of FCA algorithms and about 76% of the best channel of FCA algorithms, and the human presence detection rate reached 87.4%.; http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000329724900001&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=8e1609b174ce4e31116a60747a720701 ; Computer Science, Information Systems; Telecommunications; SCI(E); EI; 1; ARTICLE; 2013
语种	英语
内容类型	期刊论文
源URL	[http://ir.pku.edu.cn/handle/20.500.11897/392195]
专题	软件与微电子学院
推荐引用方式 GB/T 7714	Qin, Weijun,Zhang, Jiadi,Li, Bo,et al. Discovering Human Presence Activities with Smartphones Using Nonintrusive Wi-Fi Sniffer Sensors: The Big Data Prospective[J]. international journal of distributed sensor networks,2013.
APA	Qin, Weijun,Zhang, Jiadi,Li, Bo,&Sun, Limin.(2013).Discovering Human Presence Activities with Smartphones Using Nonintrusive Wi-Fi Sniffer Sensors: The Big Data Prospective.international journal of distributed sensor networks.
MLA	Qin, Weijun,et al."Discovering Human Presence Activities with Smartphones Using Nonintrusive Wi-Fi Sniffer Sensors: The Big Data Prospective".international journal of distributed sensor networks (2013).