Emotion recognition is the ability to precisely infer human emotions from numerous sources
and modalities using questionnaires, physical signals, and physiological signals. Recently …

High prevalence of mental illness and the need for effective mental health care, combined
with recent advances in AI, has led to an increase in explorations of how the field of machine …

The seminal work on Affective Computing in 1995 by Picard set the base for computing that
relates to, arises from, or influences emotions. Affective computing is a multidisciplinary field …

Affect recognition is an interdisciplinary research field bringing together researchers from
natural and social sciences. Affect recognition research aims to detect the affective state of a …

Much of the stress and strain of student life remains hidden. The StudentLife continuous
sensing app assesses the day-to-day and week-by-week impact of workload on stress …

The growth of Internet-distributed TV services has transformed video consumption,
enhancing the level of control that viewers have over what they watch. Along with the …

Mobile sensing systems have made significant advances in tracking human behavior.
However, the development of personalized mobile health feedback systems is still in its …

Modern wearable devices enable the continuous and unobtrusive monitoring of human
physiological parameters, including heart rate and electrodermal activity. Through the …

Many cognitive, behavioral, and environmental factors impact student learning during
college. The SmartGPA study uses passive sensing data and self-reports from students' …

This paper introduces Pick-A-Mood, a character-based pictorial scale for reporting and
expressing moods. Pick-A-Mood consists of three characters that each express eight mood …