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T17-BikeNet - The BikeNet Mobile Sensing System for Cyclist...

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The BikeNet Mobile Sensing System for Cyclist Experience Mapping Joshua Cox
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Authors Columbia University – Computer Science - Shane Eisenman - Gahng-Seop Ahn Dartmouth College – Electrical Engineering - Emiliano Miluzzo - Nicholas Lane - Ronald Paterson - Andrew Campbell
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Previous Work SoundSense The Rise of People-Centric Sensing SkiScape Sensing CenceMe People Centric Inferencing
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What is BikeNet? “An extensible mobile sensing system for cyclist experience mapping leveraging opportunistic sensor networking principles and techniques.”
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Typical Bike Sensors Wheel speed Distance traveled Calories burned
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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
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Inferred Measurements Calories burned – wheel speed, weight Traffic level – magnetometer, microphone
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