Affective computing, as its name implies, focuses on the recognition of human emotions,
sentiments, and feelings. This interdisciplinary field encompasses diverse areas such as …

Video based facial expression recognition has been a long standing problem and attracted
growing attention recently. The key to a successful facial expression recognition system is to …

Well-established benchmarks have been developed in the past 20 years for automatic facial
behaviour analysis. Nevertheless, for some important problems regarding analysis of facial …

How can you discover something new, that matches your interest? Recommender Systems
have been studied since the 90ies. Their benefit comes from guiding a user through the …

Audio signal processing is the most challenging field in the current era for an analysis of an
audio signal. Audio signal classification (ASC) comprises of generating appropriate features …

Well-established databases and benchmarks have been developed in the past 20 years for
automatic facial behaviour analysis. Nevertheless, for some important problems regarding …

The focus of this work is emotion recognition in the wild based on a multitude of different
audio, visual and meta features. For this, a method is proposed to optimize multi-modal …

In this paper, we present the method for our submission to the emotion recognition in the
wild challenge (EmotiW). The challenge is to automatically classify the emotions acted by …

In general, humans interact with each other using multiple modalities. The main channels
are speech, facial expressions, and gesture. But also bio-physiological data such as …

Facial expression recognition has been a long standing problem and attracted growing
interest from the affective computing community. This thesis presents the research I …