Sapiezynski et al., 2017 - Google Patents

Inferring person-to-person proximity using WiFi signals

Sapiezynski et al., 2017

View PDF
Document ID
2295978282017458720
Author
Sapiezynski P
Stopczynski A
Wind D
Leskovec J
Lehmann S
Publication year
Publication venue
Proceedings of the ACM on interactive, mobile, wearable and ubiquitous technologies

External Links

Snippet

Today's societies are enveloped in an ever-growing telecommunication infrastructure. This infrastructure offers important opportunities for sensing and recording a multitude of human behaviors. Human mobility patterns are a prominent example of such a behavior which has …
Continue reading at dl.acm.org (PDF) (other versions)

Classifications

    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATIONS NETWORKS
    • H04W4/00—Mobile application services or facilities specially adapted for wireless communication networks
    • H04W4/02—Mobile application Services making use of the location of users or terminals, e.g. OMA SUPL, OMA MLP or 3GPP LCS
    • H04W4/023—Mobile application Services making use of the location of users or terminals, e.g. OMA SUPL, OMA MLP or 3GPP LCS using mutual or relative location information between multiple location based services [LBS] targets or of distance thresholds
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATIONS NETWORKS
    • H04W4/00—Mobile application services or facilities specially adapted for wireless communication networks
    • H04W4/02—Mobile application Services making use of the location of users or terminals, e.g. OMA SUPL, OMA MLP or 3GPP LCS
    • H04W4/025—Mobile application Services making use of the location of users or terminals, e.g. OMA SUPL, OMA MLP or 3GPP LCS using location based information parameters
    • H04W4/028—Mobile application Services making use of the location of users or terminals, e.g. OMA SUPL, OMA MLP or 3GPP LCS using location based information parameters using historical or predicted position information, e.g. trajectory data
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATIONS NETWORKS
    • H04W4/00—Mobile application services or facilities specially adapted for wireless communication networks
    • H04W4/02—Mobile application Services making use of the location of users or terminals, e.g. OMA SUPL, OMA MLP or 3GPP LCS
    • H04W4/04—Mobile application Services making use of the location of users or terminals, e.g. OMA SUPL, OMA MLP or 3GPP LCS using association of physical positions and logical data in a dedicated environment, e.g. buildings or vehicles
    • H04W4/043—Mobile application Services making use of the location of users or terminals, e.g. OMA SUPL, OMA MLP or 3GPP LCS using association of physical positions and logical data in a dedicated environment, e.g. buildings or vehicles using ambient awareness, e.g. involving buildings using floor or room numbers
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATIONS NETWORKS
    • H04W4/00—Mobile application services or facilities specially adapted for wireless communication networks
    • H04W4/02—Mobile application Services making use of the location of users or terminals, e.g. OMA SUPL, OMA MLP or 3GPP LCS
    • H04W4/021—Mobile application Services making use of the location of users or terminals, e.g. OMA SUPL, OMA MLP or 3GPP LCS based on location controlled areas, e.g. geofencing
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATIONS NETWORKS
    • H04W84/00—Network topologies
    • H04W84/18—Self-organizing networks, e.g. ad-hoc networks or sensor networks
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATIONS NETWORKS
    • H04W4/00—Mobile application services or facilities specially adapted for wireless communication networks
    • H04W4/20—Signalling of application services or auxiliary data signalling, i.e. transmitting data via a non-traffic channel
    • H04W4/206—Signalling of application services or auxiliary data signalling, i.e. transmitting data via a non-traffic channel for socializing or targeting users of the same wireless application service, e.g. joint gesture signalling or mobile advertising signalling
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATIONS NETWORKS
    • H04W4/00—Mobile application services or facilities specially adapted for wireless communication networks
    • H04W4/008—Mobile application services or facilities specially adapted for wireless communication networks using short range communication, e.g. NFC, RFID or PAN
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATIONS NETWORKS
    • H04W8/00—Network data management
    • H04W8/005—Discovery of network devices, e.g. terminals
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATIONS NETWORKS
    • H04W4/00—Mobile application services or facilities specially adapted for wireless communication networks
    • H04W4/06—Selective distribution or broadcast application services; Mobile application services to user groups; One-way selective calling services
    • H04W4/08—User group management
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATIONS NETWORKS
    • H04W64/00—Locating users or terminals or network equipment for network management purposes, e.g. mobility management
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L67/00—Network-specific arrangements or communication protocols supporting networked applications
    • H04L67/22—Tracking the activity of the user
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATIONS NETWORKS
    • H04W12/00—Security arrangements, e.g. access security or fraud detection; Authentication, e.g. verifying user identity or authorisation; Protecting privacy or anonymity
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01S—RADIO DIRECTION-FINDING; RADIO NAVIGATION; DETERMINING DISTANCE OR VELOCITY BY USE OF RADIO WAVES; LOCATING OR PRESENCE-DETECTING BY USE OF THE REFLECTION OR RERADIATION OF RADIO WAVES; ANALOGOUS ARRANGEMENTS USING OTHER WAVES
    • G01S5/00—Position-fixing by co-ordinating two or more direction or position line determinations; Position-fixing by co-ordinating two or more distance determinations
    • G01S5/02—Position-fixing by co-ordinating two or more direction or position line determinations; Position-fixing by co-ordinating two or more distance determinations using radio waves
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATIONS NETWORKS
    • H04W48/00—Access restriction; Network selection; Access point selection
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06F—ELECTRICAL DIGITAL DATA PROCESSING
    • G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
    • G06F17/30—Information retrieval; Database structures therefor; File system structures therefor
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L63/00—Network architectures or network communication protocols for network security

Similar Documents

Publication Publication Date Title
Sapiezynski et al. Inferring person-to-person proximity using WiFi signals
Kim et al. Discovering semantically meaningful places from pervasive RF-beacons
Ledlie et al. Molé: A scalable, user-generated WiFi positioning engine
Luo et al. Pallas: Self-bootstrapping fine-grained passive indoor localization using WiFi monitors
Redondi et al. Building up knowledge through passive WiFi probes
Sapiezynski et al. Tracking human mobility using wifi signals
Chon et al. Sensing WiFi packets in the air: Practicality and implications in urban mobility monitoring
Draghici et al. A survey of techniques for automatically sensing the behavior of a crowd
US20150351008A1 (en) Centralized Beacon Management Service
Chessa et al. Mobile crowd sensing management with the ParticipAct living lab
US8830909B1 (en) Methods and systems to determine user relationships, events and spaces using wireless fingerprints
Vhaduri et al. Opportunistic discovery of personal places using multi-source sensor data
Vhaduri et al. Discovering places of interest using sensor data from smartphones and wearables
Regalia et al. Crowdsensing smart ambient environments and services
Rodrigues et al. Opportunistic mobile crowdsensing for gathering mobility information: Lessons learned
Kim et al. Crowdsource Based Indoor Localization by Uncalibrated Heterogeneous Wi‐Fi Devices
Locatelli et al. Device discovery and tracing in the Bluetooth Low Energy domain
Nakatani et al. Estimating the physical distance between two locations with Wi-Fi received signal strength information using obstacle-aware approach
Namiot et al. On the analysis of statistics of mobile visitors
Chen et al. Locating in crowdsourcing-based dataspace: wireless indoor localization without special devices
Sapiezynski et al. Offline behaviors of online friends
Villatoro et al. The tweetbeat of the city: Microblogging used for discovering behavioural patterns during the mwc2012
Marakkalage et al. Identifying indoor points of interest via mobile crowdsensing: An experimental study
Čavojský et al. User trajectory extraction based on wifi scanning
Das et al. An unsupervised model for detecting passively encountering groups from WiFi signals