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Indoor Outdoor
Indoor Outdoor
Indoor Outdoor
Indoor Outdoor
Indoor Outdoor
Indoor Outdoor
Indoor Outdoor
Indoor Outdoor
Indoor Outdoor
Indoor Outdoor
Indoor Outdoor
Indoor Outdoor
Indoor Outdoor
Indoor Outdoor
Indoor Outdoor
Indoor Outdoor
Indoor Outdoor
Indoor Outdoor
Indoor Outdoor
Indoor Outdoor
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Indoor Outdoor

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  • 1. Indoor-Outdoor Positioning and Lifelog Experiment with Mobile Phones
  • 2. Reference  Hiroshi Mizuno, Ken Sasaki, Hiroshi Hosaka “Indoor- Outdoor Positioning and Lifelog Experiment with Mobile Phones” Proceedings of the 2007 workshop on Multimodal interfaces in semantic interaction
  • 3. Outline  Introduction  System Architecture  Lifelog Experiment  Conclusion
  • 4. Introduction  With the rapid development of computers and networks, there are many projects on lifelog StartleCam: A Cybernetic Wearable Camera Time-machine Computing: a Time-centric Approach for the Information Environment MyLifeBits: Fulfilling the Memex Vision  Analysis on lifelog data and some useful parameters for predicting user’s next behavior are presented
  • 5. System Architecture  Outdoor Positioning with GPS  Bluetooth Indoor Positioning System  Behavior Recording Software
  • 6. Outdoor Positioning with GPS  Mobile phones’ GPS are used to track users’ positions in outdoors  A user starts to find his/her current location, the phone connects to a “recording server”, via the Internet  The recording server works as a web server ,it returns the time at which the phone should send the next positioning data
  • 7. Outdoor Positioning with GPS
  • 8. Bluetooth Indoor Positioning System  Personal computers (PCs) in rooms and offices will serve as base stations  When user’s Bluetooth signal from the mobile phone is detected, the base stations make connections with the user’s phone and measure the signal strength  Accuracy of positioning depends on how cluttered the environment is  In ordinary office buildings, this system can identify the room in which the user is present
  • 9. Bluetooth Indoor Positioning System
  • 10. Behavior Recording Software  Behavior Recording Software is a Java program that runs on mobile phones  Allows the user to record activities or input supplementary data  When a user pushes a button, a menu of common daily activities appears on the screen to prompt the user  History of the past inputs is shown at the bottom of the screen for check and correction
  • 11. Behavior Recording Software
  • 12. Lifelog Experiment (1/5)  76 consecutive days  A college student  User’s activities were classified into five categories: Sleeping Working on a PC Reading Taking a bath Went out  To analyze user’s lifestyle and to find parameters for predicting user’s next activity
  • 13. Lifelog Experiment (2/5)
  • 14. Lifelog Experiment (3/5)
  • 15. Lifelog Experiment (4/5)  “Sleeping” and “Went out” are repetitive at period of 24 hours  “Working on PC”, “Reading”, and “Taking a bath” has no regular time interval  “Working on PC” is random and the time spent on this activity is relatively long  “Reading” is not a daily activity of this person  Interval of “Taking a bath” is longer than 12 hours  Finding: the activities are related with the following three factors:  Current time  Time from wake up  current activity
  • 16. Lifelog Experiment (5/5)  Using a feature distance defined by equation (1) and applying k-nearest neighbor method, we were able to predict the user’s next activity with probability of 66%
  • 17. Conclusion  Indoor-outdoor positioning system incorporating GPS and Bluetooth has been developed for lifelog system using mobile phones  Lifelog experiment of 76 days has proved the usability of the system

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