Abstract
OpenFace is an open source tool designed to extract the most commonly used facial information from videos including facial points, head pose, gaze and Facial Action Units. OpenFaceR is a tool designed to help social scientists, and other researchers from less technical disciplines, who are interested in facial nonverbal behaviors (FNVBs), to easily use output from OpenFace 2.0. The output from OpenFace is one csv file for each video, with information on each feature for each frame of the analyzed video provided in rows. OpenFaceR constitutes a set of methods to convert information in this format into relevant summary statistics. In this paper, we focus on the set of methods in OpenFaceR to extract information from a series of videos and transform the output files into a single dataset in which each row reports the summary values of a feature for one video.
| Original language | English |
|---|---|
| Journal | CEUR Workshop Proceedings |
| Volume | 2730 |
| Publication status | Published - 2020 |
| Event | 2nd Symposium of Psychology-Based Technologies, PSYCHOBIT 2020 - Naples, Italy Duration: 28 Sep 2020 → 29 Sep 2020 |
Keywords
- Computer Vision
- Face
- Nonverbal Behaviors
- OpenFace
- R