From big data mining to technical sport reports: the case of inertial measurement units
The inertial measurement units (IMU) are instruments used to quantify the external load of athletes; they are increasingly common in assessing team and individual sports. This type of instruments has several sensors, such as accelerometers, gyroscopes and magnetometers; this allows access to a large amount of information and analysis possibilities. Due to the complexity of synthesising this data, it is necessary to create a flow for collecting, analysing and presenting the collected data in a simple way and present it as quickly as possible to the technical staff. This report aims to present new methods of reduction of the data and propose a new approach method for the analysis of the IMU`s outcomes.
© Copyright 2019 BMJ Open Sport & Exercise Medicine. BMJ. All rights reserved.
| Subjects: | |
|---|---|
| Notations: | technical and natural sciences |
| Tagging: | Big Data data mining |
| Published in: | BMJ Open Sport & Exercise Medicine |
| Language: | English |
| Published: |
2019
|
| Online Access: | https://doi.org/10.1136/bmjsem-2019-000565 |
| Issue: | 5 |
| Pages: | e000565 |
| Document types: | article |
| Level: | advanced |