Breaking Down Couro AI’s Run Score
Couro AI is the latest in run analysis technology. We’ve developed a run score that summarizes running performance for a given individual based on run symmetry.
Running Symmetry Score (RSS)
Based on joint movements over time, we are measuring joint symmetry during non-transitory phases for both the left and right sides of the body. A primary assumption is that imbalances in joint movements are indicators of imbalance that can further lead to injury if unchecked/uncorrected.
To evaluate running symmetry between the left and right sides, we calculate the Pearson Correlation Coefficient (PCC) of the two waveforms for the following rationale:
A value of -1 indicates that there’s perfect symmetry between the two waveforms, while any other value will indicate there is some deviation.
Thus, if we take the absolute value of the PCC of these two waveforms, we get a scaled value that tells us how different the left and right sides are.
Note: this interpretation does fall apart if there is a correlation between the two wave forms (the person is swinging their arms and legs perfectly together, like in a jump).
The RSS will be:
RSS = abs(PCC(\phi_{left}, \phi_{right}))
Where 1 indicates perfect symmetry between the left and right side swings, and 0 indicates random joint movement. The model will also calculate the RSS over 4 joints and two sides:
shoulder
hip
elbow
knee
The reports will include each individual symmetry score and a composite symmetry score that will be used on the final athlete score.