An Indoor Navigation Methodology for Mobile Devices by Integrating Augmented Reality and Semantic Web
Indoor navigation systems incorporating augmented reality allow users to locate places within buildings and acquire more knowledge about their environment. However, although diverse works have been introduced with varied technologies, infrastructure, and functionalities, a standardization of the pro...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2021-08-01
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| Series: | Sensors |
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| Online Access: | https://www.mdpi.com/1424-8220/21/16/5435 |
| _version_ | 1797522121370370048 |
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| author | Jesus Ivan Rubio-Sandoval Jose L. Martinez-Rodriguez Ivan Lopez-Arevalo Ana B. Rios-Alvarado Adolfo Josue Rodriguez-Rodriguez David Tomas Vargas-Requena |
| author_facet | Jesus Ivan Rubio-Sandoval Jose L. Martinez-Rodriguez Ivan Lopez-Arevalo Ana B. Rios-Alvarado Adolfo Josue Rodriguez-Rodriguez David Tomas Vargas-Requena |
| author_sort | Jesus Ivan Rubio-Sandoval |
| collection | DOAJ |
| description | Indoor navigation systems incorporating augmented reality allow users to locate places within buildings and acquire more knowledge about their environment. However, although diverse works have been introduced with varied technologies, infrastructure, and functionalities, a standardization of the procedures for elaborating these systems has not been reached. Moreover, while systems usually handle contextual information of places in proprietary formats, a platform-independent model is desirable, which would encourage its access, updating, and management. This paper proposes a methodology for developing indoor navigation systems based on the integration of Augmented Reality and Semantic Web technologies to present navigation instructions and contextual information about the environment. It comprises four modules to define a spatial model, data management (supported by an ontology), positioning and navigation, and content visualization. A mobile application system was developed for testing the proposal in academic environments, modeling the structure, routes, and places of two buildings from independent institutions. The experiments cover distinct navigation tasks by participants in both scenarios, recording data such as navigation time, position tracking, system functionality, feedback (answering a survey), and a navigation comparison when the system is not used. The results demonstrate the system’s feasibility, where the participants show a positive interest in its functionalities. |
| first_indexed | 2024-03-10T08:24:57Z |
| format | Article |
| id | doaj.art-f863b76139f44554b70522a2d4ac50ee |
| institution | Directory Open Access Journal |
| issn | 1424-8220 |
| language | English |
| last_indexed | 2024-03-10T08:24:57Z |
| publishDate | 2021-08-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj.art-f863b76139f44554b70522a2d4ac50ee2023-11-22T09:39:44ZengMDPI AGSensors1424-82202021-08-012116543510.3390/s21165435An Indoor Navigation Methodology for Mobile Devices by Integrating Augmented Reality and Semantic WebJesus Ivan Rubio-Sandoval0Jose L. Martinez-Rodriguez1Ivan Lopez-Arevalo2Ana B. Rios-Alvarado3Adolfo Josue Rodriguez-Rodriguez4David Tomas Vargas-Requena5Reynosa Rodhe Multidisciplinary Academic Unit, Autonomous University of Tamaulipas, Reynosa 88779, MexicoReynosa Rodhe Multidisciplinary Academic Unit, Autonomous University of Tamaulipas, Reynosa 88779, MexicoCentro de Investigación y de Estudios Avanzados del I.P.N. Unidad Tamaulipas (Cinvestav Tamaulipas), Victoria 87130, MexicoFaculty of Engineering and Science, Autonomous University of Tamaulipas, Victoria 87000, MexicoReynosa Rodhe Multidisciplinary Academic Unit, Autonomous University of Tamaulipas, Reynosa 88779, MexicoReynosa Rodhe Multidisciplinary Academic Unit, Autonomous University of Tamaulipas, Reynosa 88779, MexicoIndoor navigation systems incorporating augmented reality allow users to locate places within buildings and acquire more knowledge about their environment. However, although diverse works have been introduced with varied technologies, infrastructure, and functionalities, a standardization of the procedures for elaborating these systems has not been reached. Moreover, while systems usually handle contextual information of places in proprietary formats, a platform-independent model is desirable, which would encourage its access, updating, and management. This paper proposes a methodology for developing indoor navigation systems based on the integration of Augmented Reality and Semantic Web technologies to present navigation instructions and contextual information about the environment. It comprises four modules to define a spatial model, data management (supported by an ontology), positioning and navigation, and content visualization. A mobile application system was developed for testing the proposal in academic environments, modeling the structure, routes, and places of two buildings from independent institutions. The experiments cover distinct navigation tasks by participants in both scenarios, recording data such as navigation time, position tracking, system functionality, feedback (answering a survey), and a navigation comparison when the system is not used. The results demonstrate the system’s feasibility, where the participants show a positive interest in its functionalities.https://www.mdpi.com/1424-8220/21/16/5435indoor navigationaugmented realitySemantic Web |
| spellingShingle | Jesus Ivan Rubio-Sandoval Jose L. Martinez-Rodriguez Ivan Lopez-Arevalo Ana B. Rios-Alvarado Adolfo Josue Rodriguez-Rodriguez David Tomas Vargas-Requena An Indoor Navigation Methodology for Mobile Devices by Integrating Augmented Reality and Semantic Web Sensors indoor navigation augmented reality Semantic Web |
| title | An Indoor Navigation Methodology for Mobile Devices by Integrating Augmented Reality and Semantic Web |
| title_full | An Indoor Navigation Methodology for Mobile Devices by Integrating Augmented Reality and Semantic Web |
| title_fullStr | An Indoor Navigation Methodology for Mobile Devices by Integrating Augmented Reality and Semantic Web |
| title_full_unstemmed | An Indoor Navigation Methodology for Mobile Devices by Integrating Augmented Reality and Semantic Web |
| title_short | An Indoor Navigation Methodology for Mobile Devices by Integrating Augmented Reality and Semantic Web |
| title_sort | indoor navigation methodology for mobile devices by integrating augmented reality and semantic web |
| topic | indoor navigation augmented reality Semantic Web |
| url | https://www.mdpi.com/1424-8220/21/16/5435 |
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