The document describes the development of a wireless sensor module based on the Arduino development board to create "smart objects", including the system architecture, hardware specifications using various sensors, software libraries developed, applications for signal filtering, software tools, and demo applications using a "smart dice" to control computer programs.

1. Smart Objects for Human Computer
Interaction, Experimental Study
Doggen, J.*; Neefs, J.; Brands, E.; Peeters, T.;
Bracke, J.; Smets, M.; Van der Schueren, F.
*jeroen.doggen@artesis.be
March 22, 2012

2. Outline
Introduction and Problem Statement
System Design
System Architecture
Hardware Specifications
Software Libraries
Applications
Signal Filtering
Software Tools
Demo Applications
Future Work
Conclusion
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3. Arduino based Smart Objects
We developed a wireless sensor
module based on the Arduino
development board.
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4. Arduino based Smart Objects
We developed a wireless sensor
module based on the Arduino
development board.
We use the “smart dice” to
control computer applications.
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5. Arduino based Smart Objects
We developed a wireless sensor
module based on the Arduino
development board.
We use the “smart dice” to
control computer applications.
This basic concept can be
adapted to implement various
sensor based applications.
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6. Wireless Sensor Networks & Smart Objects
A wireless sensor network is a set of small autonomous sensor
nodes which cooperate to solve a common application using
some kind of perception of physical parameters1 .
1
An FDL’ed Textbook on Sensor Networks, Thomas Haenselmann.
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7. Wireless Sensor Networks & Smart Objects
A wireless sensor network is a set of small autonomous sensor
nodes which cooperate to solve a common application using
some kind of perception of physical parameters1 .
Smart objects sense their environment and communicate to
increase sensing efficiency and enable new ways of end-user
interaction.
1
An FDL’ed Textbook on Sensor Networks, Thomas Haenselmann.
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8. Arduino Development Platform
The Arduino development platform
allow designers to develop electronic
prototypes.
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9. Arduino Development Platform
The Arduino development platform
allow designers to develop electronic
prototypes.
The platform has gained increased
popularity over the last years.
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10. Arduino Development Platform
The Arduino development platform
allow designers to develop electronic
prototypes.
The platform has gained increased
popularity over the last years.
The open-source community has
70000 registered users and an
abundance of user submitted
libraries.
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11. Arduino Development Platform
The Arduino development platform
allow designers to develop electronic
prototypes.
The platform has gained increased
popularity over the last years.
The open-source community has
70000 registered users and an
abundance of user submitted
libraries.
Ease of use is the main selling point.
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12. Arduino based Smart Objects
We built a WSN using the
Arduino platform to develop
a smart object.
A “smart dice” to control
computer applications.
The dice can be replaced by
any object, e.g. a kids’ toy
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13. Arduino based Smart Objects
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14. Outline
Introduction and Problem Statement
System Design
System Architecture
Hardware Specifications
Software Libraries
Applications
Signal Filtering
Software Tools
Demo Applications
Future Work
Conclusion
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15. Outline
Introduction and Problem Statement
System Design
System Architecture
Hardware Specifications
Software Libraries
Applications
Signal Filtering
Software Tools
Demo Applications
Future Work
Conclusion
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16. System Architecture
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17. Outline
Introduction and Problem Statement
System Design
System Architecture
Hardware Specifications
Software Libraries
Applications
Signal Filtering
Software Tools
Demo Applications
Future Work
Conclusion
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18. Hardware Specifications
Seeeduino development board
Digi XBee wireless interface
Freescale Semiconductor MMA7361 analog accelerometer
InvenSense ITG-3200 digital gyroscope
Sharp GP2Y0A21YK infra-red distance sensor
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19. Outline
Introduction and Problem Statement
System Design
System Architecture
Hardware Specifications
Software Libraries
Applications
Signal Filtering
Software Tools
Demo Applications
Future Work
Conclusion
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20. Arduino Libraries
Arduino software libraries make it straightforward for anyone to
start embedded development.
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21. Arduino Libraries
Arduino software libraries make it straightforward for anyone to
start embedded development.
Used Arduino libraries
ITG-3200 Gyro library
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22. Arduino Libraries
Arduino software libraries make it straightforward for anyone to
start embedded development.
Used Arduino libraries
ITG-3200 Gyro library
Developed Arduino libraries
Sharp GP2Y0A21YK infra-red distance sensor
MMA7361 accelerometer
Signal filtering
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23. Arduino Libraries
Arduino software libraries make it straightforward for anyone to
start embedded development.
Used Arduino libraries
ITG-3200 Gyro library
Developed Arduino libraries
Sharp GP2Y0A21YK infra-red distance sensor
MMA7361 accelerometer
Signal filtering
XNA library to connect the module to C# applications
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24. Arduino Library Example
1. Include header files
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25. Arduino Library Example
1. Include header files
2. Initialise objects and variables
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26. Arduino Library Example
1. Include header files
2. Initialise objects and variables
3. setup → configuration
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27. Arduino Library Example
1. Include header files
2. Initialise objects and variables
3. setup → configuration
4. loop → start example program
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28. Arduino libraries: usage statistics
MMA7361 accelerometer library2
2
http://code.google.com/p/mma7361-library
3
http://code.google.com/p/gp2y0a21yk-library/
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29. Arduino libraries: usage statistics
MMA7361 accelerometer library2
Sharp GP2Y0A21YK infrared distance sensor library3
Total downloads: both ± 320
2
http://code.google.com/p/mma7361-library
3
http://code.google.com/p/gp2y0a21yk-library/
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30. Outline
Introduction and Problem Statement
System Design
System Architecture
Hardware Specifications
Software Libraries
Applications
Signal Filtering
Software Tools
Demo Applications
Future Work
Conclusion
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31. Outline
Introduction and Problem Statement
System Design
System Architecture
Hardware Specifications
Software Libraries
Applications
Signal Filtering
Software Tools
Demo Applications
Future Work
Conclusion
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32. Signal Filtering
Many analog sensors have signal differences between individual
sensors.
Calibration and signal filtering is needed to compensate for
these undesirable effects.
4
http://code.google.com/p/arduino-signal-filtering-library
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33. Signal Filtering
Many analog sensors have signal differences between individual
sensors.
Calibration and signal filtering is needed to compensate for
these undesirable effects.
We implemented three simple software based filters:
variable-length weighted moving average filter
Bessel low-pass filter
Chebychev low-pass filter
The signal filtering library is available online4 .
4
http://code.google.com/p/arduino-signal-filtering-library
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34. Outline
Introduction and Problem Statement
System Design
System Architecture
Hardware Specifications
Software Libraries
Applications
Signal Filtering
Software Tools
Demo Applications
Future Work
Conclusion
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35. Software Tools
SerialMonitor: log and analyse sensor data
SerialForwarder: forward serial data over a TCP/IP socket
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36. Outline
Introduction and Problem Statement
System Design
System Architecture
Hardware Specifications
Software Libraries
Applications
Signal Filtering
Software Tools
Demo Applications
Future Work
Conclusion
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37. Demo Applications
Flight simulator: sensor acts
as a joystick
Pac-man clone: sensor
generates arrow inputs
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38. Demo Applications
2-D platform game:
Left/right: tilt
detection
Jump: upward
movement
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39. Outline
Introduction and Problem Statement
System Design
System Architecture
Hardware Specifications
Software Libraries
Applications
Signal Filtering
Software Tools
Demo Applications
Future Work
Conclusion
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40. Future Work
Use mixed RF technologies
Support the more power efficient nRF24
wireless technology
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41. Future Work
Use mixed RF technologies
Support the more power efficient nRF24
wireless technology
Minimise energy consumption
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42. Future Work
Use mixed RF technologies
Support the more power efficient nRF24
wireless technology
Minimise energy consumption
Use the module for various student
projects:
Development of embedded software
Printed circuit board design
Signal processing applications
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43. Future Work
Use mixed RF technologies
Support the more power efficient nRF24
wireless technology
Minimise energy consumption
Use the module for various student
projects:
Development of embedded software
Printed circuit board design
Signal processing applications
Projects
Development of a city monitoring
application
Cooperation with product development
department: prototyping
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44. Outline
Introduction and Problem Statement
System Design
System Architecture
Hardware Specifications
Software Libraries
Applications
Signal Filtering
Software Tools
Demo Applications
Future Work
Conclusion
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45. Conclusion
We developed an Arduino based “smart cube”, equipped with
various sensors.
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46. Conclusion
We developed an Arduino based “smart cube”, equipped with
various sensors.
The LGPL licensed Arduino software libraries for these sensors
are freely available for download.
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47. Conclusion
We developed an Arduino based “smart cube”, equipped with
various sensors.
The LGPL licensed Arduino software libraries for these sensors
are freely available for download.
The system and its derivatives are being used for student
projects.
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48. Conclusion
We developed an Arduino based “smart cube”, equipped with
various sensors.
The LGPL licensed Arduino software libraries for these sensors
are freely available for download.
The system and its derivatives are being used for student
projects.
We plan to cooperate with third parties by developing similar
modules:
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49. Conclusion
We developed an Arduino based “smart cube”, equipped with
various sensors.
The LGPL licensed Arduino software libraries for these sensors
are freely available for download.
The system and its derivatives are being used for student
projects.
We plan to cooperate with third parties by developing similar
modules:
Evaluation of the feasibility of industrial applications.
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50. Conclusion
We developed an Arduino based “smart cube”, equipped with
various sensors.
The LGPL licensed Arduino software libraries for these sensors
are freely available for download.
The system and its derivatives are being used for student
projects.
We plan to cooperate with third parties by developing similar
modules:
Evaluation of the feasibility of industrial applications.
Prototyping tool for product development purposes.
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51. Questions & Answers
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