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Providing IoT Services in Smart Cities through Dynamic Augmented Reality Markers.

Chaves-Diéguez D, Pellitero-Rivero A, García-Coego D, González-Castaño FJ, Rodríguez-Hernández PS, Piñeiro-Gómez Ó, Gil-Castiñeira F, Costa-Montenegro E - Sensors (Basel) (2015)

Bottom Line: These IDs allow information about the objects to be retrieved from a remote server.In this work, we present a novel solution that replaces static AR markers with dynamic markers based on LED communication, which can be decoded through cameras embedded in smartphones.These dynamic markers can directly deliver sensor information to the rendering device, on top of the object ID, without further network interaction.

View Article: PubMed Central - PubMed

Affiliation: AtlantTIC, Universidade de Vigo, Rúa Maxwell S/N, 36310 Vigo, Spain. dchaves@gradiant.org.

ABSTRACT
Smart cities are expected to improve the quality of life of citizens by relying on new paradigms, such as the Internet of Things (IoT) and its capacity to manage and interconnect thousands of sensors and actuators scattered across the city. At the same time, mobile devices widely assist professional and personal everyday activities. A very good example of the potential of these devices for smart cities is their powerful support for intuitive service interfaces (such as those based on augmented reality (AR)) for non-expert users. In our work, we consider a scenario that combines IoT and AR within a smart city maintenance service to improve the accessibility of sensor and actuator devices in the field, where responsiveness is crucial. In it, depending on the location and needs of each service, data and commands will be transported by an urban communications network or consulted on the spot. Direct AR interaction with urban objects has already been described; it usually relies on 2D visual codes to deliver object identifiers (IDs) to the rendering device to identify object resources. These IDs allow information about the objects to be retrieved from a remote server. In this work, we present a novel solution that replaces static AR markers with dynamic markers based on LED communication, which can be decoded through cameras embedded in smartphones. These dynamic markers can directly deliver sensor information to the rendering device, on top of the object ID, without further network interaction.

No MeSH data available.


Related in: MedlinePlus

Sampling points for fixed, blinking and data LEDs.
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f4-sensors-15-16083: Sampling points for fixed, blinking and data LEDs.

Mentions: Once the positions of the beacon corners have been identified, the middle points of the edges of the square are calculated. The locations of the data LEDs are estimated to be at these four points, as shown in Figure 4.


Providing IoT Services in Smart Cities through Dynamic Augmented Reality Markers.

Chaves-Diéguez D, Pellitero-Rivero A, García-Coego D, González-Castaño FJ, Rodríguez-Hernández PS, Piñeiro-Gómez Ó, Gil-Castiñeira F, Costa-Montenegro E - Sensors (Basel) (2015)

Sampling points for fixed, blinking and data LEDs.
© Copyright Policy
Related In: Results  -  Collection

License
Show All Figures
getmorefigures.php?uid=PMC4541869&req=5

f4-sensors-15-16083: Sampling points for fixed, blinking and data LEDs.
Mentions: Once the positions of the beacon corners have been identified, the middle points of the edges of the square are calculated. The locations of the data LEDs are estimated to be at these four points, as shown in Figure 4.

Bottom Line: These IDs allow information about the objects to be retrieved from a remote server.In this work, we present a novel solution that replaces static AR markers with dynamic markers based on LED communication, which can be decoded through cameras embedded in smartphones.These dynamic markers can directly deliver sensor information to the rendering device, on top of the object ID, without further network interaction.

View Article: PubMed Central - PubMed

Affiliation: AtlantTIC, Universidade de Vigo, Rúa Maxwell S/N, 36310 Vigo, Spain. dchaves@gradiant.org.

ABSTRACT
Smart cities are expected to improve the quality of life of citizens by relying on new paradigms, such as the Internet of Things (IoT) and its capacity to manage and interconnect thousands of sensors and actuators scattered across the city. At the same time, mobile devices widely assist professional and personal everyday activities. A very good example of the potential of these devices for smart cities is their powerful support for intuitive service interfaces (such as those based on augmented reality (AR)) for non-expert users. In our work, we consider a scenario that combines IoT and AR within a smart city maintenance service to improve the accessibility of sensor and actuator devices in the field, where responsiveness is crucial. In it, depending on the location and needs of each service, data and commands will be transported by an urban communications network or consulted on the spot. Direct AR interaction with urban objects has already been described; it usually relies on 2D visual codes to deliver object identifiers (IDs) to the rendering device to identify object resources. These IDs allow information about the objects to be retrieved from a remote server. In this work, we present a novel solution that replaces static AR markers with dynamic markers based on LED communication, which can be decoded through cameras embedded in smartphones. These dynamic markers can directly deliver sensor information to the rendering device, on top of the object ID, without further network interaction.

No MeSH data available.


Related in: MedlinePlus