Affective computing is an emerging interdisciplinary research field bringing together
researchers and practitioners from various fields, ranging from artificial intelligence, natural …

Affect detection is an important pattern recognition problem that has inspired researchers
from several areas. The field is in need of a systematic review due to the recent influx of …

In the context of affective human behavior analysis, we use the term continuous input to refer
to naturalistic settings where explicit or implicit input from the subject is continuously …

The last decade has witnessed considerable interest in the investigation of the affective
dimensions of learning and in the development of advanced learning technologies that …

Quantitative Field Observations (QFOs) of student behaviors and affective states in
classroom environments. Formerly known as the Baker Rodrigo Observation Method …

This paper proposes a new approach to automatically detect dementia. Even though some
works have detected dementia from speech and language attributes, most have applied …

Automatic emotion recognition plays a central role in the technologies underlying social
robots, affect-sensitive human computer interaction design and affect-aware tutors. Although …

We create two experimental situations to elicit two affective states: frustration, and delight. In
the first experiment, participants were asked to recall situations while expressing either …

Facial expression communicates emotion, intention, and physical state; it also regulates
interpersonal behavior. Automated face analysis (AFA) for the detection, synthesis, and …

We present results validating a novel framework for collecting and analyzing facial
responses to media content over the Internet. This system allowed 3,268 trackable face …