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.

使用单个骶骨安装的惯性测量单元 (IMU) 来分析战士在跳跃冲刺（易冲刺）任务中的表现。三十九名参与者 (23M/16F) 执行了一个由四个边界匆忙循环组成的边界匆忙任务。骶骨安装的 IMU 记录的角速度和加速度数据用于提供骶骨速度和位置的估计。各个高峰周期被解析为三个主要的运动阶段；即起床、冲刺和起床阶段。分析每个阶段的时间，平均每个参与者，并使用回归分析与整体高峰周期时间进行比较。聚类分析进一步揭示了高绩效者和低绩效者之间的差异。停机时间最能预测跳跃性能（R ² = 0.75) 然后是起床时间 (R ²  = 0.58) 和冲刺时间 (R ²  = 0.40)。比较高绩效和低绩效者，与起床时间相比，起床时间对平均高峰周期时间的影响几乎是两倍（分别为 -2.61 到 -1.46）。总的来说，这种基于 IMU 的方法揭示了控制性能的边界冲击的关键特征。因此，这种客观方法可以支持未来军事新兵的训练方案和表现标准，以及运动员的平行应用。