An enhanced learning framework for the classification of college student physical fitness

DOI

10.2991/ichess-19.2019.72How to use a DOI?

Keywords

Physical test, Collage student, Selection strategy, Enhanced learning.

Abstract

Physical test (PF) is demonstrated by a variety of factors including body weight status, cardiorespiratory fitness, musculoskeletal fitness (muscular strength and endurance) and flexibility, which are related to college student's physical condition. The test helps them require an understanding of behavioral attributes and causative mechanisms that promote their physical fitness. Judging the level of college student's physical fitness quickly is very necessary. In this paper, we present an enhanced learning framework for the classification of college student physical fitness. To achieve this, we first design a selection strategy for the students by considering the features that have the greatest impact on. Then, we present an enhanced learning framework equipped with our custom loss function and boosting strategy to classify the level of students' physical fitness. Extensive experiments have demonstrated the outpeformance of our framework.

Copyright

© 2019, 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  - Jiajun Wang
AU  - Zixin Xie
AU  - Jingwen Yan
AU  - Dazhi Jiang
AU  - Teng Zhou
PY  - 2019/11
DA  - 2019/11
TI  - An enhanced learning framework for the classification of college student physical fitness
BT  - Proceedings of the 2nd International Conference on Humanities Education and Social Sciences (ICHESS 2019)
PB  - Atlantis Press
SP  - 344
EP  - 347
SN  - 2352-5398
UR  - https://doi.org/10.2991/ichess-19.2019.72
DO  - 10.2991/ichess-19.2019.72
ID  - Wang2019/11
ER  -