From direct observations, facial, vocal, gestural, physiological and central nervous signals,
estimating human affective states through computational models such as multivariate linear …

Affective states are psycho-physiological constructs connecting mental and physiological
processes. They can be represented in terms of arousal and valence according to the …

This study aims to predict different affective states via physiological measures with three
types of computational models. An experiment was designed to elicit affective states with …

Facial affect analysis aims to create new types of human–computer interactions by enabling
computers to better understand a person's emotional state in order to provide ad hoc help …

Background and objective: Affect provides contextual information about the emotional state
of a person as he/she communicates in both verbal and/or non-verbal forms. While human's …

Utilizing biomedical signals as a basis to calculate the human affective states is an essential
issue of affective computing (AC). With the in-depth research on affective signals, the …

Humans can portray different expressions contrary to their emotional state of mind.
Therefore, it is difficult to judge humans' real emotional state simply by judging their physical …

Automated momentary estimation of positive and negative affects (PA and NA), the basic
sense of feeling, can play an essential role in detecting the early signs of mood disorders …

Automated detection of different affect states for human beings using facial expressions has
attracted an increasing level of research attention for high accuracy. In general, existing …

Extended roles of robots for activities of daily living (ADL) lead to researchers' increasing
attention to human-robot interaction. Emotional recognition has been regarded as an …