Thomas hjorth parameters game

Hjorth parameters are indicators of statistical properties used in signal processing in the time domain introduced by Bo Hjorth in 1970.^[1] The parameters are Activity, Mobility, and Complexity.

Then, both filtered and unfiltered features were extracted using the Hjorth parameters based on the activity, mobility, and complexity of EEG signals.

Hjorth parameters and statistical methods were used as feature extraction methods.

Hjorth parameters.

However, we found significant difference in microstate B and D parameters among three groups after playing game.

Hjorth features are descriptors used to analyze EEG signals in terms of their amplitude, frequency, and mobility [71].

They are commonly used in the analysis of electroencephalography signals for feature extraction. The parameters are normalised slope descriptors (NSDs) used in EEG. Moreover, in the robotic area, the Hjorth parameters are used for tactile signal processing for the physical object properties detection such as surface textures/material detection and touch modality classification via artificial robotic skin.^[2]

Parameters

Hjorth Activity

In the activity parameter represents the signal power, the variance of a time function.

This can indicate the surface of power spectrum in the frequency domain. This is represented by the following equation:

Where y(t) represents the signal.

Hjorth Mobility

The mobility parameter represents the mean