The BikeNet Mobile Sensing System for Cyclist Experience Mapping

Joshua Cox

Authors

Columbia University – Computer Science Shane Eisenman Gahng-Seop Ahn

Dartmouth College – Electrical Engineering Emiliano Miluzzo Nicholas Lane Ronald Paterson Andrew Campbell

Previous Work

SoundSense The Rise of People-Centric Sensing SkiScape Sensing CenceMe People Centric Inferencing

What is BikeNet?

“An extensible mobile sensing system for cyclist experience mapping leveraging

opportunistic sensor networking principles and techniques.”

Typical Bike Sensors

Wheel speed Distance traveled Calories burned

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

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, inclineb1 HillAngle + b2 WheelSpeed/PedalSpeed + b3 Distance∗ ∗ ∗

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

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

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

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.

BikeNet System

Hardware

Hardware

BikeView Demo

http://bikenet.cs.dartmouth.edu

Sensor Data

Sensor Data

Sensor Data

Sensor Data

Sensor Data

Social Aspect

Data Sharing Live Queries Submission Potential Social Networking Applications

Facebook Twitter

My Take

Commercial Potential Flawed Performance Rating

speed Weather Sensors

wind humidity cloudy/sunny

Security/Privacy

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.

• ACM Portal - http://portal.acm.org