Automated analysis of human affective behavior has attracted increasing attention from
researchers in psychology, computer science, linguistics, neuroscience, and related …

This paper surveys neuro fuzzy systems (NFS) development using classification and
literature review of articles for the last decade (2002–2012) to explore how various NFS …

Human affects such as emotions, moods, feelings are increasingly being considered as key
parameter to enhance the interaction of human with diverse machines and systems …

Electroencephalography (EEG) emotion recognition is an important task for brain–computer
interfaces. The time, frequency, and spatial domains of EEG signals have been widely …

Dedicated manufacturing systems are fading out as future manufacturing (ie, Industry 4.0 [1])
demands ultra-flexible smart manufacturing systems that can self-adapt to production …

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 …

Past research in analysis of human affect has focused on recognition of prototypic
expressions of six basic emotions based on posed data acquired in laboratory settings …

This paper presents a data-driven literature review of human-building interaction (HBI),
which refers to the interaction between occupants and buildings. Through natural language …

Despite major advances within the affective computing research field, modelling, analysing,
interpreting and responding to naturalistic human affective behaviour still remains as a …

In this paper we present a multimodal approach for the recognition of eight emotions. Our
approach integrates information from facial expressions, body movement and gestures and …