1. Developing a GUI software application to predict performance of a runner Chaiyapoj Netsiri Rice University, Houston, TX Khokiat Kengskool Florida International University, Miami, FL

2. Agenda Performance prediction formula Performance curve Time prediction Software design Conclusion

3. Performance prediction formula t is the duration of the all-out run Spd(t) is the speed maintained for t Spd an is the max speed supported by anaerobic power* Spd aer is the max speed supported by aerobic power* k = 0.013 * Kinesiological parameters Bundle M. et al J Appl Physiol 95, 2003

4. Spd 1, Spd 2 are speeds of two all-out trials of t 1 and t 2

5. Performance curve Michael Johnson 200m, 19.32s, Sp1 = 10.32m/s, t1 = 19.32s 400m, 43.44s, Sp2 = 9.2m/s, t2 = 43.44s 200m 400m

6. Time prediction t = ? at a given distance Lookup table (LUT) ts 3 3.01 3.02 3.03. 44 45 46. ts 3 3.01 3.02 3.03. 44 45 46.

7. Software design

11. Conclusion Algorithm could predict performance of a runner from 2 all-out runs. With enhancement of Graphic User Interface, a user can obtain performance prediction and time prediction of a runner. The performance can be compared with a world-class runner. Lookup table used in the software provides a fast response. Runner data could be save into a database for further uses. Workout results could be save into another database for further uses.