1. The BikeNet Mobile Sensing System for Cyclist Experience Mapping Joshua Cox

2. Authors Columbia University – Computer Science  Shane Eisenman  Gahng-Seop Ahn Dartmouth College – Electrical Engineering  Emiliano Miluzzo  Nicholas Lane  Ronald Paterson  Andrew Campbell

3. Previous Work SoundSense The Rise of People-Centric Sensing SkiScape Sensing CenceMe People Centric Inferencing

4. What is BikeNet? “An extensible mobile sensing system for cyclist experience mapping leveraging opportunistic sensor networking principles and techniques.”

5. Typical Bike Sensors Wheel speed Distance traveled Calories burned

6. BikeNet Sensors Performance/Fitness  wheel speed, pedal speed, distance traveled  path incline, lateral tilt  heart rate, galvanic skin response (stress level) Environment/Experience  pollution, allergen, and noise levels  roughness of terrain

7. Inferred Measurements Calories burned – wheel speed, weight Traffic level – magnetometer, microphone Fitness level – pedal speed, wheel speed Coasting/Braking – path incline, wheel/pedal speed Health – traffic, pollution, noise 1.0 - a1 ∗ CarDensity - a2 ∗ CO2 Level - a3 ∗ SoundLevel Performance – wheel/pedal speed, distance, incline b1 ∗ HillAngle + b2 ∗ WheelSpeed/PedalSpeed + b3 ∗ Distance

8. BikeNet Features Disconnected Operation  opportunistic networking paradigm  delay tolerant sensing  real-time sensing Long Term Performance Trend Analysis  personal repository  public database  spatio-temporal trend analysis

9. BikeNet Features Data Collection and Local Presentation  continuous sensing  event-triggered sensing  custom profile preferences Data Query and Remote Presentation  web-based portal  publish/share data

10. BikeNet System Mobile Sensor Tier (BAN)  Sensors (Tmote Invents), phone (Nokia N80)  Bluetooth SAP Tier  WiFi, GSM Server Tier  Ethernet-connected servers  Tasking, data storage and visualization

11. Data Exchange Tasking exchange  SAP to BAN  What do I sense? Uploading exchange  BAN to SAP  Here's what I've sensed. Muling exchange  BAN to BAN  Help me deliver this data.

12. BikeNet System

13. Hardware

15. BikeView Demo http://bikenet.cs.dartmouth.edu

16. Sensor Data

21. Social Aspect Data Sharing Live Queries Submission Potential Social Networking Applications  Facebook  Twitter

22. My Take Commercial Potential Flawed Performance Rating  speed Weather Sensors  wind  humidity  cloudy/sunny Security/Privacy

23. References Shane B. Eisenman, Emiliano Miluzzo, Nicholas D. Lane, Ronald A. Peterson, Gahng-Seop Ahn, and Andrew T. Campbell, "The BikeNet Mobile Sensing System for Cyclist Experience Mapping", In Proc. of Sensys 2007, Sydney Australia, November 6 - 9th 2007. BikeView - the BikeNet Web Portal. http://bikenet.cs.dartmouth.edu. http://bikenet.cs.dartmouth.edu ACM Portal - http://portal.acm.orghttp://portal.acm.org