Indoor position tracking using received signal strength‐based fingerprint context aware partitioning

Context-Aware Indoor Navigation

Over the past few years, several technological advances have been made to enable locating people in indoor settings, where way finding is something we do on a daily basis. In a similar way as it happened with GPS and today’s popular outdoor navigation systems, indoor navigation is set to become one of the first, truly ubiquitous services that will make our living and working environments intell...

Π8: Indoor Positioning System using WLAN Received Signal Strength Measurements

In this deliverable we provide the details of building an indoor positioning system using WLAN Received Signal Strength (RSS) fingerprints. The positioning system has been deployed at the premises of KIOS Research Center and follows a terminal-based-network-assisted architecture. In our case, users that carry a terminal (Tablet PC) are able to self-locate and positioning is performed entirely o...

Learning Indoor Localization using Radio Received Signal Strength

Indoor Location Prediction Using Multiple Wireless Received Signal Strengths

This paper presents a framework for indoor location prediction system using multiple wireless signals available freely in public or office spaces. We first propose an abstract architectural design for the system, outlining its key components and their functionalities. Different from existing works, such as robot indoor localization which requires as precise localization as possible, our work fo...

Indoor location tracking using Signal Strength Pinpoints

There have been many research efforts on location awareness in an indoor environment. Most of them rely on specialized equipment or motion detectors. This research focuses on signal strengths from WiFi transmitters and uses these signal strengths to calibrate virtual pinpoints. A pinpoint is a collection of stored signal strengths over time on a predetermined location. These pinpoints can then ...