Remote photoplethysmography (rPPG) is a vital way of measuring heart rate (HR) to reflect
human physical and mental health, which is useful for diagnosing cardiovascular and …

Complex emotion is an aggregate of two or more others which has highly variable
appearances, inter-dependence, and affective dynamics. These properties make the …

Multiple attempts to quantify pain objectively using single measures of physiological body
responses have been performed in the past, but the variability across participants reduces …

Pain is a reliable indicator of health issues; it affects patients' quality of life when not well
managed. The current methods in the clinical application undergo biases and errors; …

Despite the promising performance of automated pain assessment methods, current
methods suffer from performance generalization due to the lack of relatively large, diverse …

Multimodal emotion recognition has attracted increasing interest from academia and
industry in recent years, since it enables emotion detection using various modalities, such as …

We present an approach utilizing Topological Data Analysis to study the structure of face
poses used in affective computing, ie, the process of recognizing human emotion. The …

Ethical affective computing (AC) requires maximizing the benefits to users while minimizing
its harm to obtain trust from users. This requires responsible development and deployment …

In this paper, we investigate recognizing context over time using physiological signals.
Using the CASE dataset we evaluate both unimodal and multimodal approaches to …

This paper introduces a deep learning methodology for analyzing audience engagement in
online video events. The proposed deep learning framework consists of six layers and starts …