  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).
