Quantitative Training of American Football Kickers Using Real-Time Sensing and Prediction
Authors
Stout Aaron, Biglari Ehren, Kantor Jacob, Meyers Cole, Schaefbauer Alyssa, Yusheng Feng
Corresponding Author
Stout Aaron
Available Online August 2013.
- DOI
- 10.2991/iwcss-13.2013.67How to use a DOI?
- Keywords
- American Football; Kicker Training; mathematical Modeling; Wireless Sensing; Trajectory Prediction.
- Abstract
American football plays a large part in the American culture. During the season, football fans bleed the colors of their favorite team and are extremely enthusiastic about every game. Kicking is a very fundamental and vital part of the game. This paper presents a training system that integrates wireless technology, computer simulation, and advanced visualization. This system is capable of providing quantitative training to kickers and allows coaches to design effective and unique training programs. Moreover, the data collected in real-time can be used to calibrate the footballs dynamic model in predicting the final position with respect to the field goal, which is then visualized using 3D stereoscopic technology.
- Copyright
- © 2013, the Authors. Published by Atlantis Press.
- Open Access
- This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).
Cite this article
TY - CONF AU - Stout Aaron AU - Biglari Ehren AU - Kantor Jacob AU - Meyers Cole AU - Schaefbauer Alyssa AU - Yusheng Feng PY - 2013/08 DA - 2013/08 TI - Quantitative Training of American Football Kickers Using Real-Time Sensing and Prediction BT - Proceedings of the 2013 International Workshop on Computer Science in Sports PB - Atlantis Press SP - 255 EP - 261 SN - 1951-6851 UR - https://doi.org/10.2991/iwcss-13.2013.67 DO - 10.2991/iwcss-13.2013.67 ID - Aaron2013/08 ER -