Validating optical motion capture assessments of dating violence wikipedia
However, the golden goose still remains being able to capture validated biomechanical data without invasive procedures like applying markers to a shirtless athlete. Using marker-based systems, we can get sub-millimeter accuracy of movement.
Yes, that’s right – our typical mean error in reconstruction is about 0.8mm.
Comparatively, there are athletes with low arm speed that we see in our biomechanical reports.
These athletes can probably tolerate higher workloads to develop velocity, due to lower stresses at the elbow and shoulder.
Marker-based biomechanics systems are incredibly precise AND accurate, while markerless systems typically lack the validation required to even make firm conclusions about precision.
At Driveline Baseball, we are pushing markerless technology forward by planning hundreds of test cases of marker-based situations vs.
Sutherland, Jackie, Duffy, Vincent (2007): Validating Optical Motion Capture Assessments of the Dynamic Aspects of Work. (eds.) ICDHM 2007 - First International Conference on Digital Human Modeling July 22-27, 2007, Beijing, China.
And from all we know about how important forearm rotation is in the pitching delivery, if we cannot capture this, that raises huge concerns.
Yet this doesn’t stop organizations and coaches using cameras and non-validated markerless methods to compute biomechanics, or worse, nonsense like drawing lines and angles on still images and calling it biometrics, biomechanics, or other buzzwords they lift from research papers they do not understand.
Science is something to be respected – and as usual, if it sounds too good to be true, it almost always is.
So, how we use biomechanics data to improve performance and maybe reduce the chance of injury?