Accurate WiFi Based Localization for Smartphones Using Peer Assistance

Collaborative WiFi Fingerprinting Using Sensor-Based Navigation on Smartphones

This paper presents a method that trains the WiFi fingerprint database using sensor-based navigation solutions. Since micro-electromechanical systems (MEMS) sensors provide only a short-term accuracy but suffer from the accuracy degradation with time, we restrict the time length of available indoor navigation trajectories, and conduct post-processing to improve the sensor-based navigation solut...

Crowdsourcing Based Event Reporting System Using Smartphones with Accurate Localization and Photo Tamper Detection

Floor Identification with Commercial Smartphones in Wifi-based Indoor Localization System

In this paper, we utilize novel sensors built-in commercial smart devices to propose a schema which can identify floors with high accuracy and efficiency. This schema can be divided into two modules: floor identifying and floor change detection. Floor identifying module starts at initial phase of positioning, and responsible for determining which floor the positioning start. We have estimated t...

Transfer Learning for WiFi-based Indoor Localization

The WiFi-based indoor localization problem (WILP) aims to detect the location of a client device given the signals received from various access points. WILP is a complex and very important task for many AI and ubiquitous computing applications. A major approach to solving this task is through machine learning, where upto-date labeled training data are required in a large scale indoor environmen...

WiFi Localization System Using Fuzzy Rule-Based Classification

The framework of this paper is robot localization inside buildings usingWiFi signal strength measure. This localization is usually made up of two phases: training and estimation stages. In the former the WiFi signal strength of all visible Access Points (APs) are collected and stored in a database or Wifi map, while in the latter the signal strengths received from all APs at a certain position ...