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Break down the precise timing and sequencing of movements from the pelvis, trunk, and arms, to identify inefficiencies in swing mechanics, improve consistency, and maximize energy transfer from the lower body through the core to the bat. Uplift offers dozens of events and metrics to track softball hitting for youth to professional athletes. Example image of a woman doing a swing, side view

Dimensions

Required Inputs for processing:
  • handedness: the handedness of the batter [‘left’, ‘right’]

Variables

Output variables from hitting analysis.

Generic Outputs

Every capture includes session metadata, standard joint angle/velocity time series, and 3D keypoint positions common to all movements. See Generic Outputs for the full list.

Events

Identify specific time points during the hit.

Movement Flags

Find inefficiencies during the hitting motion.

Kinematic Sequence

Order and magnitude of pelvis, trunk, and upper arm peak rotational velocity (deg/s) during the swing.

Timing & General Metrics

Durations, sequencing info, and general session metadata.

Lower Body & Stride

Lower body positions, stride mechanics, and forward movement during the swing.

Trunk & X-Factor

Trunk and pelvis rotation angles, coil, and swing plane metrics.

Arm, Hand & Connection

Upper extremity angles, distances, and hand positions relative to the body.

Time Series Metrics

Metrics describing motion over the duration of the capture, changing values with every frame. Use in combination with the keypoints and kinematics from Generic Outputs.

Bat Metrics

Descriptors of bat positions, speeds, and more during the swing.

Notes

  • Kinematic data typically captured at 240Hz for Softball Hitting
  • All boolean variables (true/false = 1/0) return -1 if metric unable to be calculated.