FloorLoc-SL: Floor Localization System with Fingerprint Self-Learning Mechanism

Abstract

Nowadays, a mobile phone plays an important role in daily life. There are many applications developed for mobile phones. Location service application is one kind of mobile application that serves location information. GPS receiver is embedded on a mobile phone for localization. However, GPS cannot provide localization service over indoor scenario efficiently. This is because obstacles and structures of building block GPS signal from the satellites. Many indoor localization systems have been proposed but most of them are developed over single-floor scenario only. The dimension of altitudes in localization results will be missed. In this paper, we propose floor localization system. The proposed system does not need any site survey and any support from back-end server. It has a self-learning algorithm for creating fingerprint in each floor. The self-learning algorithm utilizes sensors on the mobile phone for detecting trace of mobile phone user. This algorithm is low computation complexity, which can be operated on any mobile phones. Moreover, the mobile phone can exchange fingerprints with others via virtual ad hoc network instead of learning all floor fingerprints by themselves only. Our proposed floor localization system achieves 87% of accuracy.

Accurate and Robust Floor Positioning in Complex Indoor Environments

“…It first clusters the collected RSS levels by unsupervised learning, and subsequently utilizes ANNs to identify the cluster of the newly-collected RSS values. FloorLoc-SL [16] introduced a self-learning scheme to create fingerprints for each floor. It proposes the use of an activity classification module and a floor counting module to detect the traces of users.…”

A Survey of Indoor Localization Systems in Multi-Floor Environments

“…Commonly, an absolute localization technology is fused with the phone sensors for PDR-based approaches. Here we review a set of hybrid localization systems [163]- [204].…”

Store layout optimization using indoor positioning system

“…Because it uses APs that are already installed in many buildings to enable Internet services and there is consequently no need to install extra infrastructures such as sensors for identifying locations, Wi-Fi is cost-effective and as such is most commonly used in indoor localization systems. 15 Wi-Fi-based positioning systems use the media access control (MAC) addresses of wireless service set identifiers and wireless APs for indoor positioning. Localization using WLAN is often based on received signal strength (RSS) and radio fingerprinting techniques.…”

“…17 Microsoft RADAR, 18 Horus, 19 DIT, 20 MultiLoc, 21 TIX, 22 OntoNav, 23 NAVIO, 24 Ekahasu, and COMPASS 9 are examples of IPS applications using WLAN. Khaoampai et al 15 and Marques et al 25 used a self-learning algorithm to create Wi-Fi fingerprints on separate floors as part of a floor localization system that measures positions within an indoor environment with at least two floors (applications of their method include FloorLoc-SL).…”