This workshop is targeted at students and researchers working with video recordings. Even though the workshop will be based on quantitative tools, the aim is to provide solutions for qualitative research. This includes visualization techniques such as motion videos, motion history images, and motiongrams; techniques that in different ways allow for looking at video recordings from different temporal and spatial perspectives. It also includes some basic computer vision analysis, such as extracting quantity and centroid of motion, and using such features in analysis.
The participants will learn to use the Musical Gestures Toolbox for Python, a collection of high-level modules for easily generating all of the above-mentioned visualizations and analyses. This toolbox was originally developed for the analysis of music-related body motion but is equally useful for other disciplines working with video recordings of humans, such as linguistics, psychology, medicine, and educational sciences.
Learning outcomes
- Understand the basics of digital video analysis
- Create video visualizations in Jupyter Notebooks
Prerequisites
The participant should have basic knowledge of Python and Jupyter Notebook
Target audience
Students, PhDs, Postdocs, and Researchers.
Required Materials
In addition to a laptop, the participant should have installed Anaconda