Uses of Class
org.android.activityminer.logic.features.AbstractFeature

Packages that use AbstractFeature

org.android.activityminer.logic.features

Logic layer - Feature implementation and the extraction logic.

Uses of AbstractFeature in org.android.activityminer.logic.features

Subclasses of AbstractFeature in org.android.activityminer.logic.features

class	CrossCorrelationFeature<T extends Enum<T> & Dimensions> Implementation of an cross-correlation feature for two different dimension.
class	EnergyFeature<T extends Enum<T> & Dimensions> Implementation of the energy feature.
class	EntropyFeature<T extends Enum<T> & Dimensions> Implementation of the entropy feature.
class	MaxAccelerationAxisDifferenceFeature<T extends Enum<T> & Dimensions> Implementation of the feature for the maximum pairwise difference in accelerometer axis means.
class	MaxDistanceInLocationsFeature Implementation of the maximum difference in pairwise sample locations feature.
class	MaximumFeature<T extends Enum<T> & Dimensions> Implementation of a maximum feature.
class	MeanCrossingRateFeature<T extends Enum<T> & Dimensions> Implementation of the mean-crossing feature, which is an extended feature based on the mean feature value.
class	MeanFeature<T extends Enum<T> & Dimensions> Implementation of a mean feature.
class	MinimumFeature<T extends Enum<T> & Dimensions> Implementation of a minimum feature.
class	PeakAmplitudeFeature<T extends Enum<T> & Dimensions> Implementation of the amplitude of dominant (peak) frequency feature.
class	PeakFrequencyFeature<T extends Enum<T> & Dimensions> Implementation of the peak frequency feature.
class	RangeFeature<T extends Enum<T> & Dimensions> Implementation of a range feature (difference between maximum and minimum ).
class	StandardDeviationFeature<T extends Enum<T> & Dimensions> Implementation of the standard deviation feature, which is an extended feature based on the variance feature value.
class	VarianceFeature<T extends Enum<T> & Dimensions> Implementation of the variance (squared standard deviation) feature, which is an extended feature based on the mean feature value.