2026-10-14T17:40:24Zhttps://www.radar-service.eu/oai/OAIHandler

10.48606/nf7gwyrr2pe9nmq62026-04-24T07:42:23Z

https://dx.doi.org/10.48606/nf7gwyrr2pe9nmq6 Putra, Prasetia Köchling, Johanna Straßheim, Jana Bousquet, Christophe Renner, Britta Schupp, Harald Classification of Natural Conversations by Humans and Machine Learning Based on Facial Actions University of Konstanz 2026 Psychology Computer Science dataset Dataset info:eu-repo/semantics/openAccess https://creativecommons.org/licenses/by/4.0/legalcode Between May 2021 and March 2022, video data from 84 participants in 28 groups was collected (the exact description of this data can be found in the article cited uder related identifiers). For the present analysis, facial action units were extracted from the videos and used for a machine learning based classification of conversation topic. Additionally, the videos were rated by 19 individuals, between May and June 2023. This repository contains (1) the maschine learning dataset with individuals' facial action units and code to classify group discussion topics as a Python script with instructions and (2) Human rating data for third-person, video-based classification and analysis code as an R-script. Facial Action Units Conversation Machine Learning eng 10.1038/s41598-025-30403-9 https://ror.org/018mejw64 application/x-tar