| Author(s) |
Dahmen, T., Byshko, R., Röder, M., Mantler, S., Saupe, D. |
| Abstract |
We develop methods for data acquisition, analysis, modeling and visu-
alization of performance parameters in endurance sports with emphasis on
competitive cycling. For this purpose, we designed a simulator to facilitate
the measurement of training parameters in a laboratory environment, to fa-
miliarize cyclists with unknown tracks, and to develop models for training
control and performance prediction. The simulation includes real height pro-
files and a video playback that is synchronized with the cyclist’s current virtual
position on the track and online visualization of various course and perfor-
mance parameters. We compared our field data with a the state-of-the art
mathematical model for road cycling power, established by Martin et al in
1998, which accounts for the gradient force, air resistance, rolling resistance,
frictional losses in wheel bearings, and inertia. We found that the model is
able to describe the performance parameters accurately. In both cases the
correlation coefficients were between 0.87–0.95 with signal-to-noise ratios of
18–19 dB. We showed that the mathematical model can be implemented on an
ergometer for simulating rides on real courses. Comparing field and simula-
tor measurements we obtained correlation coefficients between 0.66–0.81 with
signal-to-noise ratios of 13–16 dB. The major challenge remains to determine
the model parameters more precisely. Additionally, high quality GPS data
would improve the results. |