Gottschämmer, Patrick ; Große-Puppendahl, Tobias ; Kuijper, Arjan (2015)
User Location Modeling Based on Heterogeneous Data Sources.
Distributed, Ambient, and Pervasive Interactions.
doi: 10.1007/978-3-319-20804-6_43
Konferenzveröffentlichung, Bibliographie
Kurzbeschreibung (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.
Typ des Eintrags: | Konferenzveröffentlichung |
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Erschienen: | 2015 |
Autor(en): | Gottschämmer, Patrick ; Große-Puppendahl, Tobias ; Kuijper, Arjan |
Art des Eintrags: | Bibliographie |
Titel: | User Location Modeling Based on Heterogeneous Data Sources |
Sprache: | Englisch |
Publikationsjahr: | 2015 |
Verlag: | Springer International Publishing |
Reihe: | Lecture Notes in Computer Science (LNCS); 9189 |
Veranstaltungstitel: | Distributed, Ambient, and Pervasive Interactions |
DOI: | 10.1007/978-3-319-20804-6_43 |
Kurzbeschreibung (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. |
Freie Schlagworte: | Business Field: Digital society, Research Area: Human computer interaction (HCI), Research Area: Modeling (MOD), Indoor localization systems, Location-based services (LBS), Heterogeneous environments |
Fachbereich(e)/-gebiet(e): | 20 Fachbereich Informatik 20 Fachbereich Informatik > Graphisch-Interaktive Systeme |
Hinterlegungsdatum: | 08 Mai 2019 07:54 |
Letzte Änderung: | 08 Mai 2019 07:54 |
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