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A Community Platform for
Auto-Annotated Recreational Maps
   Till Riedel1, Phillip Scholl1, Christian Decker1 and Michael Beigl2



            1TecO,Universität Karlsruhe(TH), Vincenz Prießnitz Str. 3
                           76131 Karlsruhe, Germany
                      <{riedel,scholl,cdecker}@teco.edu>
               2IBR,UniversitätBraunschweig, Mühlenpfordstr. 23
                            Braunschweig , Germany
                               <beigl@teco.edu>
Motivation
       Recreational maps
       Outdating
       Specialized




    City map Karlsruhe:                                    Skate map Karlsruhe:

    still using Version from 1990                          Specialized Annotation
    (or Google maps :-) )                                  Should have newest version !
2                     A Community Platform for Auto-Annotated Recreational Maps (SWDMNSS 2007)
Recreational Maps

       Specialized for sport, degree of expertise
       more detailed annotation = better map
       road size doesn't matter
       Road quality reflected in coloring/style

       Not many print runs depending on sport
       Out-dating rapidly:
          Nature
          Minor road work
3                   A Community Platform for Auto-Annotated Recreational Maps (SWDMNSS 2007)
Alternative:
             Track sharing communities




       Large Community
       Sharing single tracks
       Simple or text based
        annotation
       Subjective/Biased

4                    A Community Platform for Auto-Annotated Recreational Maps (SWDMNSS 2007)
Problem

       Track fusion dependent on sports device
       Differentiated annotation makes system complex
       Users tend not to waste their time on intricate stuff
       We need many users to build complete maps

    Dilemma:

                      many users vs complex system

                complete maps vs differentiated annotation

5                     A Community Platform for Auto-Annotated Recreational Maps (SWDMNSS 2007)
Community Platform for
    Auto-Annotated Recreational Maps
       Minimal effort
          Automate process as much as possible


       Minimal cost
          Use available technology


       Minimal risk
          Anonymization: don't share raw personal data


6                  A Community Platform for Auto-Annotated Recreational Maps (SWDMNSS 2007)
(kind of) Wireless Sensor Networks

       Sensor Nodes = Sportsmen w/:
          Sensor Watches/Sensors on Equipment
          Handheld GPS Systems

       Mobile sparsely synchronized sensors
          high coverage
          high availabiliy
          only back-end communication



7                    A Community Platform for Auto-Annotated Recreational Maps (SWDMNSS 2007)
Track Classification

       Classifier for Road Quality
       Use input from sensors:
          Acceleration
          Vibration
          GPS (speed, slope)

       Simple rule based system:
          e.g.: low(vibration(R)) => good(R)
          Preset rule sets for different devices/preferences
          Adjustable by user

8                      A Community Platform for Auto-Annotated Recreational Maps (SWDMNSS 2007)
Map Creation

       Create network of roads
       Which tracks belong to same road?
           Routes not equal in strict sense
       Algorithm described in: Scott Morris, Alan Morris, Kobus
        Barnard, Digital Trail Libraries, jcdl, pp. 63-71, Digital Libraries,
        2004 ACM/IEEE Joint Conference on (JCDL'04), 2004.




9                       A Community Platform for Auto-Annotated Recreational Maps (SWDMNSS 2007)
Aggregation and Personalization

        Collect all predicates on all sub-tracks
           Use road intersections to uniquely identify parts
           Use common sensor predicates
        Query locally restricted
        Aggregate all data (bias towards recent data)
        Reclassify using users preference
        Color map by new classification



10                   A Community Platform for Auto-Annotated Recreational Maps (SWDMNSS 2007)
Hardware

          Cheap sensors:
                  Measure vibration
                  Low power
                  Affordable for early adopters


          Loose coupling with location system:
                  Standard handheld GPS
                  Use existing technology
                  Only use timestamps to synchronize
11   A Community Platform for Auto-Annotated Recreational Maps (SWDMNSS 2007)
Future Work

        From Concept to Implementation :)
        Studies for different outdoor sports
           Cycling
           Inline skating
           Hiking
        Use this kind of WSNs in other apps
           highly mobile and sparsely synchronized
           low power and high coverage


12                   A Community Platform for Auto-Annotated Recreational Maps (SWDMNSS 2007)
Conclusion

        Concept for enhancing maps with sensor
         information
           rather than just displaying values
        Use Communities and enable personalization
        Design aspects for mass adaptation
           also critical to other sensor web apps
        Widen the understanding of wireless sensor
         networks
           sensors don't have to be connected all the time

13                   A Community Platform for Auto-Annotated Recreational Maps (SWDMNSS 2007)

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A Community Platform for Auto-Annotated Recreational Maps

  • 1. A Community Platform for Auto-Annotated Recreational Maps Till Riedel1, Phillip Scholl1, Christian Decker1 and Michael Beigl2 1TecO,Universität Karlsruhe(TH), Vincenz Prießnitz Str. 3 76131 Karlsruhe, Germany <{riedel,scholl,cdecker}@teco.edu> 2IBR,UniversitätBraunschweig, Mühlenpfordstr. 23 Braunschweig , Germany <beigl@teco.edu>
  • 2. Motivation  Recreational maps  Outdating  Specialized City map Karlsruhe: Skate map Karlsruhe: still using Version from 1990 Specialized Annotation (or Google maps :-) ) Should have newest version ! 2 A Community Platform for Auto-Annotated Recreational Maps (SWDMNSS 2007)
  • 3. Recreational Maps  Specialized for sport, degree of expertise  more detailed annotation = better map  road size doesn't matter  Road quality reflected in coloring/style  Not many print runs depending on sport  Out-dating rapidly: Nature Minor road work 3 A Community Platform for Auto-Annotated Recreational Maps (SWDMNSS 2007)
  • 4. Alternative: Track sharing communities  Large Community  Sharing single tracks  Simple or text based annotation  Subjective/Biased 4 A Community Platform for Auto-Annotated Recreational Maps (SWDMNSS 2007)
  • 5. Problem  Track fusion dependent on sports device  Differentiated annotation makes system complex  Users tend not to waste their time on intricate stuff  We need many users to build complete maps Dilemma: many users vs complex system complete maps vs differentiated annotation 5 A Community Platform for Auto-Annotated Recreational Maps (SWDMNSS 2007)
  • 6. Community Platform for Auto-Annotated Recreational Maps  Minimal effort Automate process as much as possible  Minimal cost Use available technology  Minimal risk Anonymization: don't share raw personal data 6 A Community Platform for Auto-Annotated Recreational Maps (SWDMNSS 2007)
  • 7. (kind of) Wireless Sensor Networks  Sensor Nodes = Sportsmen w/: Sensor Watches/Sensors on Equipment Handheld GPS Systems  Mobile sparsely synchronized sensors high coverage high availabiliy only back-end communication 7 A Community Platform for Auto-Annotated Recreational Maps (SWDMNSS 2007)
  • 8. Track Classification  Classifier for Road Quality  Use input from sensors: Acceleration Vibration GPS (speed, slope)  Simple rule based system: e.g.: low(vibration(R)) => good(R) Preset rule sets for different devices/preferences Adjustable by user 8 A Community Platform for Auto-Annotated Recreational Maps (SWDMNSS 2007)
  • 9. Map Creation  Create network of roads  Which tracks belong to same road? Routes not equal in strict sense  Algorithm described in: Scott Morris, Alan Morris, Kobus Barnard, Digital Trail Libraries, jcdl, pp. 63-71, Digital Libraries, 2004 ACM/IEEE Joint Conference on (JCDL'04), 2004. 9 A Community Platform for Auto-Annotated Recreational Maps (SWDMNSS 2007)
  • 10. Aggregation and Personalization  Collect all predicates on all sub-tracks Use road intersections to uniquely identify parts Use common sensor predicates  Query locally restricted  Aggregate all data (bias towards recent data)  Reclassify using users preference  Color map by new classification 10 A Community Platform for Auto-Annotated Recreational Maps (SWDMNSS 2007)
  • 11. Hardware  Cheap sensors: Measure vibration Low power Affordable for early adopters  Loose coupling with location system: Standard handheld GPS Use existing technology Only use timestamps to synchronize 11 A Community Platform for Auto-Annotated Recreational Maps (SWDMNSS 2007)
  • 12. Future Work  From Concept to Implementation :)  Studies for different outdoor sports Cycling Inline skating Hiking  Use this kind of WSNs in other apps highly mobile and sparsely synchronized low power and high coverage 12 A Community Platform for Auto-Annotated Recreational Maps (SWDMNSS 2007)
  • 13. Conclusion  Concept for enhancing maps with sensor information rather than just displaying values  Use Communities and enable personalization  Design aspects for mass adaptation also critical to other sensor web apps  Widen the understanding of wireless sensor networks sensors don't have to be connected all the time 13 A Community Platform for Auto-Annotated Recreational Maps (SWDMNSS 2007)