Indoor localization is essential for healthcare, security, augmented reality gaming, and many
other location-based services. There is currently a wealth of relevant literature on indoor …

Location estimation is significant in mobile and ubiquitous computing systems. The
complexity and smaller scale of the indoor environment impose a great impact on location …

Bayesian-filter techniques provide a powerful statistical tool to help manage measurement
uncertainty and perform multisensor fusion and identity estimation. The authors survey …

Many emerging applications such as intruder detection and border protection drive the fast
increasing development of device-free passive (DfP) localization techniques. In this paper …

This paper introduces a hierarchical Markov model that can learn and infer a user's daily
movements through an urban community. The model uses multiple levels of abstraction in …

An increasingly common requirement of computer systems is to extract information
regarding the people present in an environment. In this article, we provide a survey of the …

WLAN Device-free passive (DfP) indoor localization is an emerging technology enabling the
localization of entities that do not carry any devices nor participate actively in the localization …

Context is a critical ingredient of ubiquitous computing. While it is possible to use
specialized sensors and beacons to measure certain aspects of a user's context, we are …

In this paper, we combine inertial sensing and sensor network technology to create a
pedestrian dead reckoning system. The core of the system is a lightweight sensor-and …

In this paper, we present a robust, decentralized approach to RF-based location tracking.
Our system, called MoteTrack, is based on low-power radio transceivers coupled with a …