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interpersonal_synchrony

Coding module for quantifying interpersonal synchrony/entrainment

https://github.com/jptrujillo/interpersonal_synchrony

Science Score: 44.0%

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Last synced: 10 months ago · JSON representation ·

Repository

Coding module for quantifying interpersonal synchrony/entrainment

Basic Info
  • Host: GitHub
  • Owner: jptrujillo
  • Language: HTML
  • Default Branch: master
  • Size: 1.76 MB
Statistics
  • Stars: 0
  • Watchers: 1
  • Forks: 0
  • Open Issues: 0
  • Releases: 0
Created about 2 years ago · Last pushed over 1 year ago
Metadata Files
Readme Citation

README.md

Tutorial module for Calculating Interpersonal Synchrony Using Time-Lagged Cross-Correlation

This module uses as open dataset to calculate interpersonal synchrony based on Kinect Azure data captured during triadic interaction. The module goes through: - Extracting Kinect Azure skeleton data from json files - Preprocessing motion data based on best practices for interpersonal synchrony analysis - Using Time-Lagged Cross-Correlation to calculate interpersonal synchrony of individual body parts

Issues or suggestions? j.p.trujillo@uva.nl

Owner

  • Name: James Trujillo
  • Login: jptrujillo
  • Kind: user

Citation (CITATION.cff) 

cff-version: 1.2.0
message: "If you use this software, please cite it as below."
authors:
- family-names: "Trujillo"
  given-names: "James"
  orcid: "https://orcid.org/0000-0003-4713-376X"
title: "Quantifying Interpersonal Synchrony "
version: 2.0.0
date-released: 26-06-2024
url: "https://github.com/jptrujillo/interpersonal_synchrony"

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Dependencies

requirements.txt pypi
  • numpy *
  • pandas *
  • scipy *
  • seaborn *