Cyclist Weight Inference

CyclIST Weight Inference

Problem Statement

Inertial Measurement Units (IMUs) can measure vibration and rotational motion, and have been used on bicycles to get insights about road quality, fall detection, maneuver prediction, etc. IMUs usually not known to contain sensitive data. But how can we know for sure? We believe that with the right combination of data, we could deduce certain sensitive insights such as the weight of the cyclist. Our goal with this research project is to examine to what extent the cyclist's weight can be determined.

Tasks

Collect data from multiple cyclists with different added weights (weight vest will be provided) in a controlled experiment. Analyze the data and develop a model that can classify the weights of cyclists based on IMU data. Your tasks are:

• Literature study (10%)
• Data collection (20%)
• Building the model(s) (40%)
• Evaluation the Writing (30%)

You will be provided with sensor-embedded bicycles and a weight vest.

Contact

Deepak Yeleshetty (d.yeleshetty@utwente.nl)