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User location modeling based on heterogeneous data sources

: Gottschämmer, Patrick; Große-Puppendahl, Tobias; Kuijper, Arjan


Streitz, N.:
Distributed, ambient, and pervasive interactions. Third international conference, DAPI 2015 : Held as part of HCI International 2015, Los Angeles, CA, USA, August 2-7, 2015; Proceedings
Cham: Springer International Publishing, 2015 (Lecture Notes in Computer Science 9189)
ISBN: 978-3-319-20803-9 (Print)
ISBN: 978-3-319-20804-6 (Online)
International Conference on Distributed, Ambient, and Pervasive Interactions (DAPI) <3, 2015, Los Angeles/Calif.>
International Conference on Human-Computer Interaction (HCI International) <17, 2015, Los Angeles/Calif.>
Fraunhofer IGD ()
indoor localization systems; location-based service (LBS); heterogeneous environment; Business Field: Digital society; Research Area: Human computer interaction (HCI); Research Area: Modeling (MOD)

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 commmon 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.