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Journal ArticleDOI

Survey of Wireless Indoor Positioning Techniques and Systems

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TLDR
Comprehensive performance comparisons including accuracy, precision, complexity, scalability, robustness, and cost are presented.
Abstract
Wireless indoor positioning systems have become very popular in recent years. These systems have been successfully used in many applications such as asset tracking and inventory management. This paper provides an overview of the existing wireless indoor positioning solutions and attempts to classify different techniques and systems. Three typical location estimation schemes of triangulation, scene analysis, and proximity are analyzed. We also discuss location fingerprinting in detail since it is used in most current system or solutions. We then examine a set of properties by which location systems are evaluated, and apply this evaluation method to survey a number of existing systems. Comprehensive performance comparisons including accuracy, precision, complexity, scalability, robustness, and cost are presented.

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Citations
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Journal ArticleDOI

UHF/UWB Tag Antenna of Circular Polarization

TL;DR: In this article, a dual-band circularly polarized (CP) tag antenna is presented, which combines ultrahigh-frequency (UHF) and ultrawideband (UWB) operations for radio-frequency identification (RFID) and high-precision localization applications.
Proceedings ArticleDOI

Orientation-based Wi-Fi positioning on the google Nexus One

TL;DR: This paper applies an orientation filter and a Newton Trust Region (TR) algorithm to eliminate the noisy location estimation and results in a substantially more accurate and robust localization system.
Journal ArticleDOI

GaitCube: Deep Data Cube Learning for Human Recognition with Millimeter-Wave Radio

TL;DR: A high-accuracy gait recognition system with the minimal training requirement using a single commodity millimeter-wave (mmWave) radio and a novel 3-D joint-feature representation of micro-Doppler and micro-range signatures over time that can comprehensively embody the physical relevant features of one’s gait is presented.
Journal IssueDOI

Architecting Liquid Software

TL;DR: This paper presents the design space for Liquid Software, categorizing and discussing the most important architectural dimensions and technical choices, and provides an introduction and comparison of two frameworks implementing Liquid Software capabilities in the context of the World Wide Web.
Journal ArticleDOI

Automatic Visual Fingerprinting for Indoor Image-Based Localization Applications

TL;DR: This paper focuses on the possibility of reducing the burden of the training phase for visual (image-based) indoor localization systems by proposing a system that automatically generates the image-location database.
References
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Book

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TL;DR: Setting of the learning problem consistency of learning processes bounds on the rate of convergence ofLearning processes controlling the generalization ability of learning process constructing learning algorithms what is important in learning theory?
Journal ArticleDOI

Wireless sensor networks: a survey

TL;DR: The concept of sensor networks which has been made viable by the convergence of micro-electro-mechanical systems technology, wireless communications and digital electronics is described.
Proceedings ArticleDOI

RADAR: an in-building RF-based user location and tracking system

TL;DR: RADAR is presented, a radio-frequency (RF)-based system for locating and tracking users inside buildings that combines empirical measurements with signal propagation modeling to determine user location and thereby enable location-aware services and applications.
Book

An Introduction to Support Vector Machines

TL;DR: This book is the first comprehensive introduction to Support Vector Machines, a new generation learning system based on recent advances in statistical learning theory, and introduces Bayesian analysis of learning and relates SVMs to Gaussian Processes and other kernel based learning methods.
Journal ArticleDOI

The active badge location system

TL;DR: A novel system for the location of people in an office environment is described, where members of staff wear badges that transmit signals providing information about their location to a centralized location service, through a network of sensors.
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