Features

class gaitalytics.features.FeatureCalculation(config: MappingConfigs, **kwargs)

Base class for feature calculations.

This class provides a common interface for calculating features.

__init__(config: MappingConfigs, **kwargs)

Initializes a new instance of the BaseFeatureCalculation class.

Parameters:

• config – The mapping configuration to use for the feature calculation.

• **kwargs – Currently not used.

abstract calculate(trial: TrialCycles) → DataArray

Calculate the features for a trial.

Parameters:

trial – The trial for which to calculate the features.

Returns:

An xarray DataArray containing the calculated features.

class gaitalytics.features.PhaseTimeSeriesFeatures(config: MappingConfigs, **kwargs)

Calculate phase time series features for a trial.

This class calculates following phase time series features for a trial.

• stand_min

• stand_max

• stand_mean

• stand_median

• stand_std

• stand_amplitude

• swing_min

• swing_max

• swing_mean

• swing_median

• swing_std

• swing_amplitude

class gaitalytics.features.SpatialFeatures(config: MappingConfigs, **kwargs)

Calculate spatial features for a trial.

This class calculates following spatial features for a trial. - step_length - step_width - minimal_toe_clearance - AP_margin_of_stability - ML_margin_of_stability

class gaitalytics.features.TemporalFeatures(config: MappingConfigs, **kwargs)

Calculate temporal features for a trial.

This class calculates following temporal features for a trial.

• double_support

• single_support

• stance_duration_prec

• swing_duration_prec

• opposite_foot_off_prec

• opposite_foot_contact_prec

• stride_duration

• stance_duration

• cadence

class gaitalytics.features.TimeSeriesFeatures(config: MappingConfigs, **kwargs)

Calculate time series features for a trial.

This class calculates following time series features for a trial. - min - max - mean - median - std