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 …

This paper presents a multimodal emotion recognition system, which is based on the
analysis of audio and visual cues. From the audio channel, Mel-Frequency Cepstral …

Automatic emotion recognition systems predict high-level affective content from low-level
human-centered signal cues. These systems have seen great improvements in classification …

More than a decade has passed since research on automatic recognition of emotion from
speech has become a new field of research in line with its 'big brothers' speech and speaker …

Emotion analysis and recognition has become an interesting topic of research among the
computer vision research community. In this paper, we first present the emoF-BVP database …

Automatic recognition of emotion is becoming an increasingly important component in the
design process for affect-sensitive human-machine interaction (HMI) systems. Well …

The design of fusion engines is a subject of great importance in a variety of fields. In this
paper, we focus on the problem of linear fusion at the feature level for multiple signal …

Sentiment analysis (SA) aims to understand the attitudes and views of opinion holders with
computers. Previous studies have achieved significant breakthroughs and extensive …

Automatic detection of the level of human interest is of high relevance for many technical
applications, such as automatic customer care or tutoring systems. However, the recognition …