The document proposes a community platform for creating auto-annotated recreational maps. It would use sensors from users' devices to classify tracks by road quality as users recreate. Recorded sensor data like vibration and GPS would be aggregated anonymously to reclassify tracks. This would allow maps to be continually updated by a community of users, addressing issues with outdated specialized recreational maps.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
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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)