Automated facial coding: Validation of basic emotions and FACS AUs in FaceReader.

after recomputing the results, the FaceReader FACS performance is actually higher than what was originally reported.The average ADFES agreement index increased from 0.66 to 0.68, and the average WSEFEP index increased from 0.69 to 0.70.This means that FaceReader reached a FACS index of agreement of 0.69 on average in both datasets.An error was discovered in calculations while working on another project.It appeared that the annotations of the AU's intensity (coded as "Not Active", A, B, C, D or E) were extracted from both data sets (WSEFEP and ADFES) in the wrong way.Specifically, all images that were annotated with "A" intensity were counted as "Not Active."Due to this error, a lower number of AUs appeared to be present in both data sets.This means that the numbers reported in the original article were incorrect.The other performance matrix changed, too.Therefore, a changelog for the readers appeared in: