Skip to content
Data and codes used for primary analyses in Haines et al. (2019, PLOS ONE) Using computer-vision and machine learning to automate facial coding of positive and negative affect intensity
Branch: master
Clone or download
Fetching latest commit…
Cannot retrieve the latest commit at this time.
Permalink
Type Name Latest commit message Commit time
Failed to load latest commit information.
Code
Data
README.md

README.md

Haines_CVML_2018

Data and codes used for primary analyses in Haines et al. (2019, PLOS ONE) Using computer-vision and machine learning to automate facial coding of positive and negative affect intensity

The preprocessed data are included in an Rdata file in the "Data" directory. This file contains the AUC Evidence scores for each AU for all recordings.

The "Code" directory contains the R code used to fit the RF models and plot the results as seen in the manuscript.

You can’t perform that action at this time.