compute_velocity_ek

Compute velocity via Engbert &amp; Kliegl (2003) algorithm.
See formula #1 in the manuscript.

A modular and extendable approach to extract (micro)saccades from gaze samples via an ensemble of methods.
Although there is an agreement about a general definition of a saccade, the more specific details are harder to agree upon.
Therefore, there are numerous algorithms that extract saccades based on various heuristics, which differ in the assumptions about velocity,
acceleration, etc. The package uses three methods (Engbert and Kliegl (2003) <doi:10.1016/S0042-6989(03)00084-1>,
Otero-Millan et al. (2014)<doi:10.1167/14.2.18>, and Nyström and Holmqvist (2010) <doi:10.3758/BRM.42.1.188>)
to label individual samples and then applies a majority vote approach to identify saccades. The package includes three
methods but can be extended via custom functions. It also uses a modular approach to compute velocity and
acceleration from noisy samples. Finally, you can obtain methods votes per gaze sample instead of saccades.

Alexander (Sasha) Pastukhov

saccadr

Extract Saccades via an Ensemble of Methods Approach

Alexander Pastukhov

compute_velocity_ek function

<dl><dt>x</dt>
<dd>Vector of coordinates</dd>
<dt>trial</dt>
<dd>Vector with trial labels, so that velocity is computed only within trials.</dd>
<dt>time_window_in_samples</dt>
<dd>Width of window for velocity computation in samples.</dd>
<dt>delta_t</dt>
<dd>Duration of a single frame (1 / sampling rate).</dd></dl>

Arguments

Compute velocity via Engbert &amp; Kliegl (2003) algorithm. — compute_velocity_ek

<dl>

<dt>x</dt>
<dd>Vector of coordinates</dd>


<dt>trial</dt>
<dd>Vector with trial labels, so that velocity is computed only within trials.</dd>


<dt>time_window_in_samples</dt>
<dd>Width of window for velocity computation in samples.</dd>


<dt>delta_t</dt>
<dd>Duration of a single frame (1 / sampling rate).</dd>

</dl>

compute_velocity_ek: Compute velocity via Engbert & Kliegl (2003) algorithm.

Description

Usage

Value

Arguments