Ein Symbolbild, das die AG repräsentiert
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  1. Research and review the literature for power estimation.
  2. Select, install, and test suitable bike computers on a test road bike.
  3. Design a sequence of empirical studies and evaluation methods for bike computer accuracy of power measurements.
  4. Carry out these tests and do the evaluation.
  5. Develop a mathematical model of power estimation from the available sensor data.
  6. Consider different scenarios (different sets of selected sensor modalities).
  7. Validate the methods.

For the project it suffices to do parts 1 to 4, for the thesis steps 5 to 7 are required.


  • Solid programming experience in MATLAB, C, C++, Phython, Julia or similar.
  • Good grasp of mathematical modeling techniques like ordinary differential equations
  • Numerical computation methods


  1. Speed and power calculators:,
  2. Wilson, David Gordon, Jim Papadopoulos, and Frank Rowland Whitt. 2004. "Bicycling science." 3rd ed. Cambridge, Mass.: MIT Press.
  3. Martin, James C., et al. "Validation of a mathematical model for road cycling power." Journal of applied biomechanics 14 (1998): 276-291.
  4. Zhan, Andong, et al. "Accurate caloric expenditure of bicyclists using cellphones." Proceedings of the 10th ACM Conference on Embedded Network Sensor Systems. ACM, 2012.
  5. Keytel, L. R., et al. "Prediction of energy expenditure from heart rate monitoring during submaximal exercise." Journal of sports sciences 23.3 (2005): 289-297.


    Prof. Dr. Dietmar Saupe