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User Location Modeling Based on Heterogeneous Data Sources

Gottschämmer, Patrick and Große-Puppendahl, Tobias and Kuijper, Arjan (2015):
User Location Modeling Based on Heterogeneous Data Sources.
In: Lecture Notes in Computer Science (LNCS); 9189, pp. 473-484, Springer International Publishing, Distributed, Ambient, and Pervasive Interactions, DOI: 10.1007/978-3-319-20804-6₄₃,
[Conference or Workshop Item]

Abstract

Over the past decade, interest in home automation systems constantly grew. This yields especially for daily life - considering the connection of intelligent everyday devices through the Internet of Things. To allow automatic actions on these devices, user localization systems have become a major input modality for smart home systems. The location of a user (or rather a subject) can be determined by different localization techniques, such as sensitive floor systems, discrete activity sensors like light switches or RSSI-based WLAN/Bluetooth beacons (e.g. smartphones). These heterogeneous data sources provide various means of user location certainty, the ability to identify a user or the ability to recognize multiple subjects in the same location. In order to achieve a higher grade of accuracy, multiple data sources can be combined by location fusioning algorithms. However, to allow the integration of such algorithms on a hardware independent basis, a common user location model is needed, which can represent all important aspects of these localization techniques. This paper investigates the concepts of existing user localization systems and develops a new model to represent the location of subjects based on already existing location models. An implementation is provided based on Eclipse SmartHome, an open-source building automation framework.

Item Type: Conference or Workshop Item
Erschienen: 2015
Creators: Gottschämmer, Patrick and Große-Puppendahl, Tobias and Kuijper, Arjan
Title: User Location Modeling Based on Heterogeneous Data Sources
Language: English
Abstract:

Over the past decade, interest in home automation systems constantly grew. This yields especially for daily life - considering the connection of intelligent everyday devices through the Internet of Things. To allow automatic actions on these devices, user localization systems have become a major input modality for smart home systems. The location of a user (or rather a subject) can be determined by different localization techniques, such as sensitive floor systems, discrete activity sensors like light switches or RSSI-based WLAN/Bluetooth beacons (e.g. smartphones). These heterogeneous data sources provide various means of user location certainty, the ability to identify a user or the ability to recognize multiple subjects in the same location. In order to achieve a higher grade of accuracy, multiple data sources can be combined by location fusioning algorithms. However, to allow the integration of such algorithms on a hardware independent basis, a common user location model is needed, which can represent all important aspects of these localization techniques. This paper investigates the concepts of existing user localization systems and develops a new model to represent the location of subjects based on already existing location models. An implementation is provided based on Eclipse SmartHome, an open-source building automation framework.

Series Name: Lecture Notes in Computer Science (LNCS); 9189
Publisher: Springer International Publishing
Uncontrolled Keywords: Business Field: Digital society, Research Area: Human computer interaction (HCI), Research Area: Modeling (MOD), Indoor localization systems, Location-based services (LBS), Heterogeneous environments
Divisions: 20 Department of Computer Science
20 Department of Computer Science > Interactive Graphics Systems
Event Title: Distributed, Ambient, and Pervasive Interactions
Date Deposited: 08 May 2019 07:54
DOI: 10.1007/978-3-319-20804-6₄₃
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