Sharing Human-Generated Observations by Integrating HMI and the Semantic Sensor Web
Current “Internet of Things” concepts point to a future where connected objects gather meaningful information about their environment and share it with other objects and people. In particular, objects embedding Human Machine Interaction (HMI), such as mobile devices and, increasingly, connected vehi...
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doaj-b705df53f761430eab14fcda84ca0b5c2020-11-24T21:49:48ZengMDPI AGSensors1424-82202012-05-011256307633010.3390/s120506307Sharing Human-Generated Observations by Integrating HMI and the Semantic Sensor WebDavid ConejeroVasile VanceaLuis Hernández GómezÁlvaro SigüenzaJosé Luis BlancoJesús BernatDavid Díaz-PardoCurrent “Internet of Things” concepts point to a future where connected objects gather meaningful information about their environment and share it with other objects and people. In particular, objects embedding Human Machine Interaction (HMI), such as mobile devices and, increasingly, connected vehicles, home appliances, urban interactive infrastructures, <em>etc</em>., may not only be conceived as sources of sensor information, but, through interaction with their users, they can also produce highly valuable context-aware human-generated observations. We believe that the great promise offered by combining and sharing all of the different sources of information available can be realized through the integration of HMI and Semantic Sensor Web technologies. This paper presents a technological framework that harmonizes two of the most influential HMI and Sensor Web initiatives: the W3C’s Multimodal Architecture and Interfaces (MMI) and the Open Geospatial Consortium (OGC) Sensor Web Enablement (SWE) with its semantic extension, respectively. Although the proposed framework is general enough to be applied in a variety of connected objects integrating HMI, a particular development is presented for a connected car scenario where drivers’ observations about the traffic or their environment are shared across the Semantic Sensor Web. For implementation and evaluation purposes an on-board OSGi (Open Services Gateway Initiative) architecture was built, integrating several available HMI, Sensor Web and Semantic Web technologies. A technical performance test and a conceptual validation of the scenario with potential users are reported, with results suggesting the approach is sound.http://www.mdpi.com/1424-8220/12/5/6307connected objectsconnected carshuman-generated observationsHuman-Machine InteractionSensor WebSemantic Sensor Web |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
David Conejero Vasile Vancea Luis Hernández Gómez Álvaro Sigüenza José Luis Blanco Jesús Bernat David Díaz-Pardo |
spellingShingle |
David Conejero Vasile Vancea Luis Hernández Gómez Álvaro Sigüenza José Luis Blanco Jesús Bernat David Díaz-Pardo Sharing Human-Generated Observations by Integrating HMI and the Semantic Sensor Web Sensors connected objects connected cars human-generated observations Human-Machine Interaction Sensor Web Semantic Sensor Web |
author_facet |
David Conejero Vasile Vancea Luis Hernández Gómez Álvaro Sigüenza José Luis Blanco Jesús Bernat David Díaz-Pardo |
author_sort |
David Conejero |
title |
Sharing Human-Generated Observations by Integrating HMI and the Semantic Sensor Web |
title_short |
Sharing Human-Generated Observations by Integrating HMI and the Semantic Sensor Web |
title_full |
Sharing Human-Generated Observations by Integrating HMI and the Semantic Sensor Web |
title_fullStr |
Sharing Human-Generated Observations by Integrating HMI and the Semantic Sensor Web |
title_full_unstemmed |
Sharing Human-Generated Observations by Integrating HMI and the Semantic Sensor Web |
title_sort |
sharing human-generated observations by integrating hmi and the semantic sensor web |
publisher |
MDPI AG |
series |
Sensors |
issn |
1424-8220 |
publishDate |
2012-05-01 |
description |
Current “Internet of Things” concepts point to a future where connected objects gather meaningful information about their environment and share it with other objects and people. In particular, objects embedding Human Machine Interaction (HMI), such as mobile devices and, increasingly, connected vehicles, home appliances, urban interactive infrastructures, <em>etc</em>., may not only be conceived as sources of sensor information, but, through interaction with their users, they can also produce highly valuable context-aware human-generated observations. We believe that the great promise offered by combining and sharing all of the different sources of information available can be realized through the integration of HMI and Semantic Sensor Web technologies. This paper presents a technological framework that harmonizes two of the most influential HMI and Sensor Web initiatives: the W3C’s Multimodal Architecture and Interfaces (MMI) and the Open Geospatial Consortium (OGC) Sensor Web Enablement (SWE) with its semantic extension, respectively. Although the proposed framework is general enough to be applied in a variety of connected objects integrating HMI, a particular development is presented for a connected car scenario where drivers’ observations about the traffic or their environment are shared across the Semantic Sensor Web. For implementation and evaluation purposes an on-board OSGi (Open Services Gateway Initiative) architecture was built, integrating several available HMI, Sensor Web and Semantic Web technologies. A technical performance test and a conceptual validation of the scenario with potential users are reported, with results suggesting the approach is sound. |
topic |
connected objects connected cars human-generated observations Human-Machine Interaction Sensor Web Semantic Sensor Web |
url |
http://www.mdpi.com/1424-8220/12/5/6307 |
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