Athletes routinely undergo fitness evaluations to evaluate their training progress. Typically, these evaluations require a trained professional who utilizes specialized equipment like force plates. For the assessment, athletes perform drop and squat jumps, and key variables are measured, e.g. velocity, flight time, and time to stabilization, to name a few. However, amateur athletes may not have access to professionals or equipment that can provide these assessments. Here, we investigate the feasibility of estimating key variables using video recordings. We focus on jump velocity as a starting point because it is highly correlated with other key variables and is important for determining posture and lower-limb capacity. We find that velocity can be estimated with a high degree of precision across a range of athletes, with an average R-value of 0.71 (SD = 0.06).

翻译：通常,这些评价需要一名训练有素的专业人员,该专业人员使用像部队板这样的专门设备。在评估中,运动员进行下降和蹲跳,关键变量被测量,例如速度、飞行时间和稳定时间等等。不过,业余运动员可能无法接触专业人员或能够提供这些评估的设备。在这里,我们调查使用录像来估计关键变量的可行性。我们注重跳跃速度作为一个起点,因为它与其他关键变量高度相关,并且对于确定姿态和低湿度能力非常重要。我们发现,速度可以高度精确地估计,在一系列运动员中,平均R值为0.71(SD=0.06)。