Quantifying warfighter performance during a bounding rush (prone-sprinting-prone) maneuver
A single sacrum mounted inertial measurement unit (IMU) was employed to analyze warfighter performance on a bounding rush (prone-sprinting-prone) task. Thirty-nine participants (23M/16F) performed a bounding rush task consisting of four bounding rush cycles. The sacrum mounted IMU recorded angular v...
Gespeichert in:
Veröffentlicht in: | Applied ergonomics 2021-07, Vol.94, p.103382-103382, Article 103382 |
---|---|
Hauptverfasser: | , , , , , , |
Format: | Artikel |
Sprache: | eng |
Schlagworte: | |
Online-Zugang: | Volltext |
Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
Zusammenfassung: | A single sacrum mounted inertial measurement unit (IMU) was employed to analyze warfighter performance on a bounding rush (prone-sprinting-prone) task. Thirty-nine participants (23M/16F) performed a bounding rush task consisting of four bounding rush cycles. The sacrum mounted IMU recorded angular velocity and acceleration data were used to provide estimates of sacral velocity and position. Individual rush cycles were parsed into three principal movement phases; namely, the get up, sprint, and get down phases. The timing of each phase was analyzed, averaged for each participant, and compared to the overall rush cycle time using regression analysis. A cluster analysis further reveals differences between high and low performers. Get down time was most predictive of bounding rush performance (R2 = 0.75) followed by get up time (R2 = 0.58) and sprint time (R2 = 0.40). Comparing high and low performers, the get down time exhibited nearly twice the effect on mean rush cycle time compared to get up time (effect size of −2.61 to −1.46, respectively). Overall, this IMU-based method reveals key features of the bounding rush that govern performance. Consequently, this objective method may support future training regimens and performance standards for military recruits, and parallel applications for athletes.
•Inertial Measurement Units provide a novel way to quantitatively analyze bounding rush (prone-sprinting-prone) movements.•IMUs can readily detect movement sub-phases during a bounding rush which can be exploited for analysis of performance.•Mean get down time is most predictive of performance during bounding rush movement.•Further studies can utilize this technology to analyze bounding rush performance in specialized populations. |
---|---|
ISSN: | 0003-6870 1872-9126 |
DOI: | 10.1016/j.apergo.2021.103382 |