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Augmented Reality Web
Applications with Mobile Agents
in the Internet of Things
Leppänen, T., Heikkinen, A., Karhu, A., Harjula, E., Riekki, J. and Koskela, T. “Augmented Reality Web
Applications with Mobile Agents in the Internet of Things,” In: 8th International Conference on Next
Generation Mobile Applications, Services, and Technologies (NGMAST2014), pp. 54-59, September
10-12, Oxford, UK, 2014. http://dx.doi.org/10.1109/NGMAST.2014.24
Teemu Leppänen1, Arto Heikkinen2, Antti Karhu2, Erkki Harjula2,
Jukka Riekki1 and Timo Koskela2
1) Department of Computer Science and Engineering, University of Oulu, Finland
2) Center for Internet Excellence, University of Oulu, Finland
Why mobile agents in IoT for AR?
Augmented reality technologies provide an enhanced user interface to
monitor and control smart environments
Mobile agents enable injecting application-specific computations into the
system
– Create agent-based services
– Re-usable in different applications and services
– Platform and programming language independent
– Adapts to fluctuating IoT system environment
Transfer code between AR application and system devices
– Application-specific data processing and UI code for different platforms
Mobile agents live in IoT system without explicit coupling to AR applications
– Facilitates loose coupling between AR application and system resources
– AR tag mapped to a POI, which is in turn mapped to a system resource, i.e. agent-
based service or computation
Integration to the Web
Resource-oriented architecture
– Resouce is the main abstraction, exposed with unique URI and state
– Enables various representations of the resource state for human-machine
interactions
Resources include:
– System devices, their physical components (sensors and actuators) and data
– Mobile agents as representation of the application-specific data processing
– In AR: POI entities
Unified and standardized communication for resource access and control
– Promotes simplicity and re-usability in the application design
– HTTP methods: GET, POST, DELETE
• Create new resources and functionality, retrieve application-specific
representations and control the resources
Facilitates seamless information retrieval and control for both physical and
virtual objects with unified interface for AR applications
Web-based mobile AR Framework
Enables implementing mobile AR (MAR)
applications running plugin-free in a Web
browser
Relies on common Web technologies
– HTML5, WebRTC and XML3D
– Modular design
Compatible with all mobile platforms and
operating systems
Components
– Sensor-based registration and tracking component detects the device’s position
and orientation
– Vision-based registration and tracking component detects AR tags from camera
video stream
– 3D scene manipulation component converts above data for XML3D
– XML3D provides representations of the content for HTML
– Web service-interface provides communication
IoT system architecture
Based on IETF CoRE WG’s framework
Mobile device hosts the AR application
in browser
WSN based on 8-bit MCU nodes
System components
– Resource directory stores the system resource descriptions
• Name, URI, current address, content-type, semantic description, …
– Proxy component translates protocols over disparate networks
• HTTP (Wi-Fi atop 2.4Ghz) <-> CoAP (6LoWPAN atop 868Mhz)
– Repositories
• POI Database hosts POI entity descriptions with corresponding AR tags and linked
resources
• Other repositories host more system resources: e.g. mobile agent code
Proof-of-concept application (1/2)
MAR application running in a
Web browser in a tablet device
Shows the ”freshness” of coffee
in a coffee maker
1. Detects the AR tag from video
feed
2. Retrieves the POI description
3. Retrieves the state of the
corresponding linked resource,
i.e. mobile agent
4. Displays the state representation
in MAR application in the Web
browser
Proof-of-concept application (2/2)
Coffeemaker
– Connected to a WSN node, which monitors
its power consumption
– Attached AR tag, with POI description linked
to a mobile agent
Mobile agent injected to the system to
calculate time since last state change of the
coffeemaker
– Thresholding the power consumption for two
states: ON and OFF
Mobile agent composition
POI data structure
Conclusions
Augmented reality is a natural way of visualizing information provided by
different IoT devices
Web browser provides a uniform application development platform for AR
applications
IoT systems and applications become Web-enabled with the resource-
oriented architectural approach
Mobile agents enable injecting dynamic application-specific data
processing and information visualization into the system
The presented prototype application was straightforward to implement
with the presented IoT system architecture
Thank you!
Questions?
For further information, please contact:
teemu.leppanen@ee.oulu.fi
arto.heikkinen@cie.fi

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Augmented Reality Web Applications with Mobile Agents in the Internet of Things

  • 1. Augmented Reality Web Applications with Mobile Agents in the Internet of Things Leppänen, T., Heikkinen, A., Karhu, A., Harjula, E., Riekki, J. and Koskela, T. “Augmented Reality Web Applications with Mobile Agents in the Internet of Things,” In: 8th International Conference on Next Generation Mobile Applications, Services, and Technologies (NGMAST2014), pp. 54-59, September 10-12, Oxford, UK, 2014. http://dx.doi.org/10.1109/NGMAST.2014.24 Teemu Leppänen1, Arto Heikkinen2, Antti Karhu2, Erkki Harjula2, Jukka Riekki1 and Timo Koskela2 1) Department of Computer Science and Engineering, University of Oulu, Finland 2) Center for Internet Excellence, University of Oulu, Finland
  • 2. Why mobile agents in IoT for AR? Augmented reality technologies provide an enhanced user interface to monitor and control smart environments Mobile agents enable injecting application-specific computations into the system – Create agent-based services – Re-usable in different applications and services – Platform and programming language independent – Adapts to fluctuating IoT system environment Transfer code between AR application and system devices – Application-specific data processing and UI code for different platforms Mobile agents live in IoT system without explicit coupling to AR applications – Facilitates loose coupling between AR application and system resources – AR tag mapped to a POI, which is in turn mapped to a system resource, i.e. agent- based service or computation
  • 3. Integration to the Web Resource-oriented architecture – Resouce is the main abstraction, exposed with unique URI and state – Enables various representations of the resource state for human-machine interactions Resources include: – System devices, their physical components (sensors and actuators) and data – Mobile agents as representation of the application-specific data processing – In AR: POI entities Unified and standardized communication for resource access and control – Promotes simplicity and re-usability in the application design – HTTP methods: GET, POST, DELETE • Create new resources and functionality, retrieve application-specific representations and control the resources Facilitates seamless information retrieval and control for both physical and virtual objects with unified interface for AR applications
  • 4. Web-based mobile AR Framework Enables implementing mobile AR (MAR) applications running plugin-free in a Web browser Relies on common Web technologies – HTML5, WebRTC and XML3D – Modular design Compatible with all mobile platforms and operating systems Components – Sensor-based registration and tracking component detects the device’s position and orientation – Vision-based registration and tracking component detects AR tags from camera video stream – 3D scene manipulation component converts above data for XML3D – XML3D provides representations of the content for HTML – Web service-interface provides communication
  • 5. IoT system architecture Based on IETF CoRE WG’s framework Mobile device hosts the AR application in browser WSN based on 8-bit MCU nodes System components – Resource directory stores the system resource descriptions • Name, URI, current address, content-type, semantic description, … – Proxy component translates protocols over disparate networks • HTTP (Wi-Fi atop 2.4Ghz) <-> CoAP (6LoWPAN atop 868Mhz) – Repositories • POI Database hosts POI entity descriptions with corresponding AR tags and linked resources • Other repositories host more system resources: e.g. mobile agent code
  • 6. Proof-of-concept application (1/2) MAR application running in a Web browser in a tablet device Shows the ”freshness” of coffee in a coffee maker 1. Detects the AR tag from video feed 2. Retrieves the POI description 3. Retrieves the state of the corresponding linked resource, i.e. mobile agent 4. Displays the state representation in MAR application in the Web browser
  • 7. Proof-of-concept application (2/2) Coffeemaker – Connected to a WSN node, which monitors its power consumption – Attached AR tag, with POI description linked to a mobile agent Mobile agent injected to the system to calculate time since last state change of the coffeemaker – Thresholding the power consumption for two states: ON and OFF Mobile agent composition POI data structure
  • 8. Conclusions Augmented reality is a natural way of visualizing information provided by different IoT devices Web browser provides a uniform application development platform for AR applications IoT systems and applications become Web-enabled with the resource- oriented architectural approach Mobile agents enable injecting dynamic application-specific data processing and information visualization into the system The presented prototype application was straightforward to implement with the presented IoT system architecture
  • 9. Thank you! Questions? For further information, please contact: teemu.leppanen@ee.oulu.fi arto.heikkinen@cie.fi