Abstract
A low power, light-weight, and modular system of sensors and data acquisition hardware was developed to measure the configuration, velocities, and accelerations of a bicycle. Measurement of angular velocity of the bicycle frame, acceleration of three points fixed to the frame, steer angle, and wheel spin rates is implemented. Measurements will be compared with dynamic models of the bicycle and human rider in order to assess model fidelity. In this way, we hope to (1) better understand how humans control bicycles, and (2) pave the way for bicycle design improvements based on quantitative and relevant dynamic measurements.
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