apply_filter

Analysis and visualisation of synchrony, interaction, and joint
movements from audio and video movement data of a group of music performers. The demo is data described in Clayton, Leante, and
Tarsitani (2021) <doi:10.17605/OSF.IO/KS325>, while example analyses
can be found in Clayton, Jakubowski, and Eerola (2019)
<doi:10.1177/1029864919844809>. Additionally, wavelet analysis
techniques have been applied to examine movement-related
musical interactions, as shown in Eerola et al. (2018)
<doi:10.1098/rsos.171520>.

Tuomas Eerola

movementsync

Analysis and Visualisation of Musical Audio and Video Movement
Synchrony Data

Martin Clayton

Paul Emms

apply_filter function

<dl><dt>view</dt>
<dd><code>ProcessedView</code> object.</dd>
<dt>data_points</dt>
<dd>body parts e.g. 'Nose'.</dd>
<dt>sig_filter</dt>
<dd>S3 filter object from signals package.</dd>
<dt>param_str</dt>
<dd>string of parameter values to add to output file if desired.</dd>
<dt>folder_out</dt>
<dd>output folder relative to recording home (default is 'Filtered').</dd>
<dt>save_output</dt>
<dd>save the output?</dd></dl>

Arguments

Apply a filter to a View — apply_filter

<dl>

<dt>view</dt>
<dd><code>ProcessedView</code> object.</dd>


<dt>data_points</dt>
<dd>body parts e.g. 'Nose'.</dd>


<dt>sig_filter</dt>
<dd>S3 filter object from signals package.</dd>


<dt>param_str</dt>
<dd>string of parameter values to add to output file if desired.</dd>


<dt>folder_out</dt>
<dd>output folder relative to recording home (default is 'Filtered').</dd>


<dt>save_output</dt>
<dd>save the output?</dd>

</dl>

apply_filter: Apply a filter to a View

Description

Usage

Value

Arguments