Tracking Human Mobility Using WiFi Signals
نویسندگان
چکیده
We study six months of human mobility data, including WiFi and GPS traces recorded with high temporal resolution, and find that time series of WiFi scans contain a strong latent location signal. In fact, due to inherent stability and low entropy of human mobility, it is possible to assign location to WiFi access points based on a very small number of GPS samples and then use these access points as location beacons. Using just one GPS observation per day per person allows us to estimate the location of, and subsequently use, WiFi access points to account for 80% of mobility across a population. These results reveal a great opportunity for using ubiquitous WiFi routers for high-resolution outdoor positioning, but also significant privacy implications of such side-channel location tracking.
منابع مشابه
Parsimonious Mobility Classification using GSM and WiFi Traces
Human mobility states, such as dwelling, walking or driving, are a valuable primary and meta data type for transportation studies, urban planning, health monitoring and epidemiology. Previous work focuses on fine-grained location-based mobility inference using global positioning system (GPS) data and external geo-indexes such as map information. GPS-based mobility characterization raises practi...
متن کاملToward sensor localization using WiFi-AP anchors: realtime AP-RSS monitoring using sensor nodes
Sensor networks play an important role to enhance indoor mobile applications. The sensor network for human detection in a house, for example, cooperates with a mobile application and automatically controls home appliances. To realize such enhancement in a vast indoor environment such as in a building, we face a sensor localization problem. We need to get location of huge number of sensor nodes ...
متن کاملModeling of Indoor Positioning System using Spanning Tree Algorithm
Indoor positioning systems have become very popular in recent years as asset and indoor tracking. In order to provide location information for indoor applications and context-aware computing, a lot of research is being done since last decade for development of real-time Indoor location system. This paper provides an overview of developing an Application based on tracking User Info and Location....
متن کاملProbability kernel regression for WiFi localisation
Various methods have been developed for indoor localisation using WLAN signals. Algorithms that fingerprint the Received Signal Strength Indication (RSSI) of WiFi for different locations can achieve tracking accuracies of the order of a few meters. RSSI fingerprinting suffers though from two main limitations: first, as the signal environment changes, so does the fingerprint database, which requ...
متن کاملTracking Synchronous Gestures with WiFi
Tracking synchronous gestures benefits various applications in team sport training, group interactive gaming, and computer-supported cooperative working. We present WiSync, a ubiquitous synchronous gesture tracking scheme on a single WiFi link. It reuses the pervasive WiFi networks, imposes no wearable sensors on users and operates in Non-Line-Of-Sight (NLOS) propagation. The idea is that with ...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
دوره 10 شماره
صفحات -
تاریخ انتشار 2015