Smart Objects for Human Computer Interaction, Experimental Study
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  • 1. Smart Objects for Human ComputerInteraction, 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. OutlineIntroduction and Problem StatementSystem Design System Architecture Hardware Specifications Software LibrariesApplications Signal Filtering Software Tools Demo ApplicationsFuture WorkConclusion 2/29
  • 3. Arduino based Smart Objects We developed a wireless sensor module based on the Arduino development board. 3/29
  • 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. 3/29
  • 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. 3/29
  • 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. 4/29
  • 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. 4/29
  • 8. Arduino Development Platform The Arduino development platform allow designers to develop electronic prototypes. 5/29
  • 9. Arduino Development Platform The Arduino development platform allow designers to develop electronic prototypes. The platform has gained increased popularity over the last years. 5/29
  • 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. 5/29
  • 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. 5/29
  • 12. Arduino based Smart ObjectsWe built a WSN using theArduino platform to developa smart object.A “smart dice” to controlcomputer applications.The dice can be replaced byany object, e.g. a kids’ toy 6/29
  • 13. Arduino based Smart Objects 7/29
  • 14. OutlineIntroduction and Problem StatementSystem Design System Architecture Hardware Specifications Software LibrariesApplications Signal Filtering Software Tools Demo ApplicationsFuture WorkConclusion 8/29
  • 15. OutlineIntroduction and Problem StatementSystem Design System Architecture Hardware Specifications Software LibrariesApplications Signal Filtering Software Tools Demo ApplicationsFuture WorkConclusion 9/29
  • 16. System Architecture 10/29
  • 17. OutlineIntroduction and Problem StatementSystem Design System Architecture Hardware Specifications Software LibrariesApplications Signal Filtering Software Tools Demo ApplicationsFuture WorkConclusion 11/29
  • 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 12/29
  • 19. OutlineIntroduction and Problem StatementSystem Design System Architecture Hardware Specifications Software LibrariesApplications Signal Filtering Software Tools Demo ApplicationsFuture WorkConclusion 13/29
  • 20. Arduino Libraries Arduino software libraries make it straightforward for anyone to start embedded development. 14/29
  • 21. Arduino Libraries Arduino software libraries make it straightforward for anyone to start embedded development. Used Arduino libraries ITG-3200 Gyro library 14/29
  • 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 14/29
  • 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 14/29
  • 24. Arduino Library Example1. Include header files 15/29
  • 25. Arduino Library Example1. Include header files2. Initialise objects and variables 15/29
  • 26. Arduino Library Example1. Include header files2. Initialise objects and variables3. setup → configuration 15/29
  • 27. Arduino Library Example1. Include header files2. Initialise objects and variables3. setup → configuration4. loop → start example program 15/29
  • 28. Arduino libraries: usage statistics MMA7361 accelerometer library2 2 http://code.google.com/p/mma7361-library 3 http://code.google.com/p/gp2y0a21yk-library/ 16/29
  • 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/ 16/29
  • 30. OutlineIntroduction and Problem StatementSystem Design System Architecture Hardware Specifications Software LibrariesApplications Signal Filtering Software Tools Demo ApplicationsFuture WorkConclusion 17/29
  • 31. OutlineIntroduction and Problem StatementSystem Design System Architecture Hardware Specifications Software LibrariesApplications Signal Filtering Software Tools Demo ApplicationsFuture WorkConclusion 18/29
  • 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 19/29
  • 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 19/29
  • 34. OutlineIntroduction and Problem StatementSystem Design System Architecture Hardware Specifications Software LibrariesApplications Signal Filtering Software Tools Demo ApplicationsFuture WorkConclusion 20/29
  • 35. Software Tools SerialMonitor: log and analyse sensor data SerialForwarder: forward serial data over a TCP/IP socket 21/29
  • 36. OutlineIntroduction and Problem StatementSystem Design System Architecture Hardware Specifications Software LibrariesApplications Signal Filtering Software Tools Demo ApplicationsFuture WorkConclusion 22/29
  • 37. Demo Applications Flight simulator: sensor acts as a joystick Pac-man clone: sensor generates arrow inputs 23/29
  • 38. Demo Applications 2-D platform game: Left/right: tilt detection Jump: upward movement 24/29
  • 39. OutlineIntroduction and Problem StatementSystem Design System Architecture Hardware Specifications Software LibrariesApplications Signal Filtering Software Tools Demo ApplicationsFuture WorkConclusion 25/29
  • 40. Future Work Use mixed RF technologies Support the more power efficient nRF24 wireless technology 26/29
  • 41. Future Work Use mixed RF technologies Support the more power efficient nRF24 wireless technology Minimise energy consumption 26/29
  • 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 26/29
  • 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 26/29
  • 44. OutlineIntroduction and Problem StatementSystem Design System Architecture Hardware Specifications Software LibrariesApplications Signal Filtering Software Tools Demo ApplicationsFuture WorkConclusion 27/29
  • 45. Conclusion We developed an Arduino based “smart cube”, equipped with various sensors. 28/29
  • 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. 28/29
  • 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. 28/29
  • 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: 28/29
  • 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. 28/29
  • 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. 28/29
  • 51. Questions & Answers 29/29