The Audio/Visual Emotion Challenge and Workshop (AVEC 2019)'State-of-Mind, Detecting
Depression with AI, and Cross-cultural Affect Recognition'is the ninth competition event …

Continuous affect recognition is becoming an increasingly attractive research topic in
affective computing. Previous works mainly focused on modelling the temporal dependency …

Visual modality is one of the most dominant modalities for current continuous emotion
recognition methods. Compared to which the EEG modality is relatively less sound due to its …

Human emotions unfold over time, and more affective computing research has to prioritize
capturing this crucial component of real-world affect. Modeling dynamic emotional stimuli …

Emotion recognition in speech is a meaningful task in affective computing and human-
computer interaction. As human emotion is a frequently changing state, it is usually …

Cross-language, cross-cultural emotion recognition and accurate prediction of affective
disorders are two of the major challenges in affective computing today. In this work, we …

Maternal care is considered a universal and even cross-species set of typical behaviors,
which are necessary to determine the social development of children. In humans, most …

Time-continuous dimensional descriptions of emotions (eg, arousal, valence) allow
researchers to characterize short-time changes and to capture long-term trends in emotion …

Continuous speech emotion recognition, which faces the problems of delay caused by
annotators' reaction time and noise caused by non-emotional segments, is a challenging …

There is growing interest in emotion research to model perceived emotion labelled as
intensities along the affect dimensions such as arousal and valence. These labels are …