pyCGM2.Model.modelDecorator.haraRegression

pyCGM2.Model.modelDecorator.haraRegression(mp_input: Dict[str, float], mp_computed: Dict[str, float], markerDiameter: float = 14.0, basePlate: float = 2.0)

Implements the Hara et al. regression for hip joint center estimation.

Reference:

Hara, R., Mcginley, J. L., C, B., Baker, R., & Sangeux, M. (2016). Generation of age and sex specific regression equations to locate the Hip Joint Centres. Gait & Posture

Parameters:

• mp_input (Dict[str, float]) – Dictionary of measured anthropometric parameters.

• mp_computed (Dict[str, float]) – Dictionary of computed anthropometric parameters.

• markerDiameter (float, optional) – Diameter of the marker. Defaults to 14.0.

• basePlate (float, optional) – Thickness of the base plate. Defaults to 2.0.

Returns:

Tuple[np.ndarray, np.ndarray]: Estimated positions of left and right hip joint centers.