Generating training plans based on existing sports activities
Creating training plans is the more important task for real trainers, in which specific training sessions are prescribed to trainees according to intensity, duration, type, and repetition, for a specific training period. After realization of the plan, it is expected that the athlete in training would acquire the proper performance level needed for achieving the top results in competitions. Typically, this planning requires controlling the athlete`s results obtained during the realization and making decisions by analyzing these. Especially, the performance analysis is recently becoming too difficult for the trainers due to enormous amount of data generated by mobile devices during the training.
© Copyright 2018 Computational intelligence in sports. Published by Springer. All rights reserved.
| Subjects: | |
|---|---|
| Notations: | technical and natural sciences training science |
| Tagging: | künstliche Intelligenz |
| Published in: | Computational intelligence in sports |
| Language: | English |
| Published: |
Cham
Springer
2018
|
| Series: | Adaptation, Learning, and Optimization, 22 |
| Online Access: | https://doi.org/10.1007/978-3-030-03490-0_7 |
| Pages: | 139-180 |
| Document types: | article |
| Level: | advanced |