Quantitative Training of American Football Kickers Using Real-Time Sensing and Prediction

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/).

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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  -