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duet: An R package for dyadic analysis of motion data generated by OpenPose.
Themis N Efthimiou1, Catherine J Crompton2
1Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, UK. tefthimi@ed.ac.uk.
Behavior Research Methods
|September 24, 2025
Summary
Researchers can now analyze dyadic social interactions more efficiently using duet, an R package that simplifies processing OpenPose motion tracking data. This tool facilitates large-scale, automated analysis of human movement in interpersonal communication studies.
Area of Science:
- Social Psychology
- Behavioral Science
- Human-Computer Interaction
Background:
- Dyadic social interaction research is growing, requiring scalable tools for large datasets.
- Automated motion tracking with OpenPose offers potential but generates challenging data formats (JSON).
Purpose of the Study:
- To introduce 'duet,' an R package for streamlined processing of OpenPose data.
- To facilitate automated, large-scale analysis of dyadic social interactions.
Main Methods:
- Development of the 'duet' R package.
- Implementation of functions for data cleaning, interpolation, kinematic analysis, and visualization.
- Focus on simplifying OpenPose JSON output handling.
Main Results:
- 'duet' provides a user-friendly workflow for analyzing dyadic movement data.
- The package enables efficient processing of large quantities of OpenPose output.
- Researchers can perform kinematic analysis and visualization with minimal coding.
Conclusions:
- 'duet' significantly advances methodological capabilities for studying dyadic social interactions.
- The package lowers the barrier for researchers to conduct large-scale, automated motion analysis.
- Facilitates deeper understanding of interpersonal communication dynamics.
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