<abstract xmlns="http://www.w3.org/1999/xhtml"><p>Wearable sensors that can be used to measure human performance outcomes are becoming increasingly popular within sport science research. Validation of these sensors is vital to ensure accuracy of extracted data. The aim of this study was to establish the validity and reliability of gyroscope sensors contained within three different inertial measurement units (IMU). Three IMUs (OptimEye, I Measure U and Logger A) were fixed to a mechanical calibration device that rotates through known angular velocities and positions. RMS scores for angular displacement, which were calculated from the integrated angular velocity vectors, were 3.85° ± 2.21° and 4.34° ± 2.57° for the OptimEye and IMesU devices, respectively. The RMS error score for the Logger A was 22.76° ± 23.22°, which was attributed to a large baseline shift of the angular velocity vector. After a baseline correction of all three devices, RMS error scores were all below 3.90°. Test re-test reliability of the three gyroscope sensors were high with coefficient of variation (CV%) scores below 2.5%. Overall, the three tested IMUs are suitable for measuring angular displacement of snow sports manoeuvres after baseline corrections have been made. Future studies should investigate the accuracy and reliability of accelerometer and magnetometer sensors contained in each of the IMUs to be used to identify take-off and landing events and the orientation of the athlete at those events.</p></abstract>

Wearable sensors that can be used to measure human performance outcomes are becoming increasingly popular within sport science research. Validation of these sensors is vital to ensure accuracy of extracted data. The aim of this study was to establish the validity and reliability of gyroscope sensors contained within three different inertial measurement units (IMU). Three IMUs (OptimEye, I Measure U and Logger A) were fixed to a mechanical calibration device that rotates through known angular velocities and positions. RMS scores for angular displacement, which were calculated from the integrated angular velocity vectors, were 3.85° ± 2.21° and 4.34° ± 2.57° for the OptimEye and IMesU devices, respectively. The RMS error score for the Logger A was 22.76° ± 23.22°, which was attributed to a large baseline shift of the angular velocity vector. After a baseline correction of all three devices, RMS error scores were all below 3.90°. Test re-test reliability of the three gyroscope sensors were high with coefficient of variation (CV%) scores below 2.5%. Overall, the three tested IMUs are suitable for measuring angular displacement of snow sports manoeuvres after baseline corrections have been made. Future studies should investigate the accuracy and reliability of accelerometer and magnetometer sensors contained in each of the IMUs to be used to identify take-off and landing events and the orientation of the athlete at those events.

Validation of gyroscope sensors for snow sports performance monitoring

International Journal of Computer Science in Sport

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

{"article-title":"Validation of gyroscope sensors for snow sports performance monitoring"}

Wearable sensors that can be used to measure human performance outcomes are becoming increasingly popular within sport science research. Validation of these...

Validation of gyroscope sensors for snow sports performance monitoring

Published Online: Jun 29, 2020

Page range: 51 - 59

DOI: https://doi.org/10.2478/ijcss-2020-0004

Keywords
SNOWBOARD, HIGH-PERFORMANCE SPORT, WORKLOAD MONITORING, PERFORMANCE ANALYSIS

© 2020 Cameron Ross et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

Validation of gyroscope sensors for snow sports performance monitoring

Published Online: Jun 29, 2020

Page range: 51 - 59

DOI: https://doi.org/10.2478/ijcss-2020-0004

KeywordsSNOWBOARD, HIGH-PERFORMANCE SPORT, WORKLOAD MONITORING, PERFORMANCE ANALYSIS

© 2020 Cameron Ross et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

Keywords
SNOWBOARD, HIGH-PERFORMANCE SPORT, WORKLOAD MONITORING, PERFORMANCE ANALYSIS