College Student Classification in Swimming Teaching and Training
Jinyan Yang, Guanlei Xu, Yu Li, Qiyang Zou
Available Online December 2016.
- https://doi.org/10.2991/seiem-16.2016.4How to use a DOI?
- Swimming Teaching, Swimming Training, Support vector Machine (SVM), Classification, Tested Samples
- The swimming teaching and training play an important role in the university education. In order to improve the efficiency of swimming teaching and training for college students, the classification of college students is of much of signification before teaching and training. In this paper, we propose a classification method which is based on body shape such as body length, body width, body perimeter, body corporeity, body harmony that can be employed for training and classification. We establish a classification decision tree according to the distance between the different categories in the process of training and building support vector machine (SVM) classifier for the decision tree. It can classify the college students automatically and intelligently. Through testing a huge amount of college students sampled from many years, the experimental results show that the correct classification rate is over 90%.
- Open Access
- This is an open access article distributed under the CC BY-NC license.
Cite this article
TY - CONF AU - Jinyan Yang AU - Guanlei Xu AU - Yu Li AU - Qiyang Zou PY - 2016/12 DA - 2016/12 TI - College Student Classification in Swimming Teaching and Training BT - Proceedings of the 2016 International Seminar on Education Innovation and Economic Management (SEIEM 2016) PB - Atlantis Press SP - 15 EP - 19 SN - 2352-5398 UR - https://doi.org/10.2991/seiem-16.2016.4 DO - https://doi.org/10.2991/seiem-16.2016.4 ID - Yang2016/12 ER -