3 citations · 8 across the 9 of their papers we have counts for
11 papers
Random Forest Regression for continuous affect using Facial Action Units
Saurabh Hinduja, Shaun Canavan, Liza Jivnani +2
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 f…
Quantified Facial Expressiveness for Affective Behavior Analytics
Md Taufeeq Uddin, Shaun Canavan
The quantified measurement of facial expressiveness is crucial to analyze human affective behavior at scale. Unfortunately, methods for expressiveness quantification at the video f…
AffectiveTDA: Using Topological Data Analysis to Improve Analysis and Explainability in Affective Computing
Hamza Elhamdadi, Shaun Canavan, Paul Rosen
We present an approach utilizing Topological Data Analysis to study the structure of face poses used in affective computing, i.e., the process of recognizing human emotion. The app…
Accounting for Affect in Pain Level Recognition
Md Taufeeq Uddin, Shaun Canavan, Ghada Zamzmi
In this work, we address the importance of affect in automated pain assessment and the implications in real-world settings. To achieve this, we curate a new physiological dataset b…
Quantified Facial Temporal-Expressiveness Dynamics for Affect Analysis
Md Taufeeq Uddin, Shaun Canavan
The quantification of visual affect data (e.g. face images) is essential to build and monitor automated affect modeling systems efficiently. Considering this, this work proposes qu…
Impact of Action Unit Occurrence Patterns on Detection
Saurabh Hinduja, Shaun Canavan, Saandeep Aathreya
Detecting action units is an important task in face analysis, especially in facial expression recognition. This is due, in part, to the idea that expressions can be decomposed into…