Paper ID: 2203.12818

Random Forest Regression for continuous affect using Facial Action Units

Saurabh Hinduja, Shaun Canavan, Liza Jivnani, Sk Rahatul Jannat, V Sri Chakra Kumar

In this paper we describe our approach to the arousal and valence track of the 3rd Workshop and Competition on Affective Behavior Analysis in-the-wild (ABAW). We extracted facial features using OpenFace and used them to train a multiple output random forest regressor. Our approach performed comparable to the baseline approach.

Submitted: Mar 24, 2022