Sewa db: A rich database for audio-visual emotion and sentiment research in the wild
Natural human-computer interaction and audio-visual human behaviour sensing systems,
which would achieve robust performance in-the-wild are more needed than ever as digital …
which would achieve robust performance in-the-wild are more needed than ever as digital …
Inferring depression and affect from application dependent meta knowledge
This paper outlines our contribution to the 2014 edition of the AVEC competition. It
comprises classification results and considerations for both the continuous affect recognition …
comprises classification results and considerations for both the continuous affect recognition …
[PDF][PDF] Open_emorec_ii-a multimodal corpus of human-computer interaction
OPEN_EmoRec_II is an open multimodal corpus with experimentally induced emotions. In
the first half of the experiment, emotions were induced with standardized picture material …
the first half of the experiment, emotions were induced with standardized picture material …
Going further in affective computing: how emotion recognition can improve adaptive user interaction
This article joins the fields of emotion recognition and human computer interaction. While
much work has been done on recognizing emotions, they are hardly used to improve a …
much work has been done on recognizing emotions, they are hardly used to improve a …
Multi-modal classifier-fusion for the recognition of emotions
Research activities in the field of human-computer interaction increasingly addressed the
aspect of integrating features that characterize different types of emotional intelligence …
aspect of integrating features that characterize different types of emotional intelligence …
Detection of emotional events utilizing support vector methods in an active learning HCI scenario
In recent years the fields of affective computing and emotion recognition have experienced a
steady increase in attention and especially the creation and analysis of multi-modal corpora …
steady increase in attention and especially the creation and analysis of multi-modal corpora …
A temporal dependency based multi-modal active learning approach for audiovisual event detection
In this work, two novel active learning approaches for the annotation and detection of
audiovisual events are proposed. The assumption behind the proposed approaches is that …
audiovisual events are proposed. The assumption behind the proposed approaches is that …
On annotation and evaluation of multi-modal corpora in affective human-computer interaction
In this paper, we discuss the topic of affective human-computer interaction from a data driven
viewpoint. This comprises the collection of respective databases with emotional contents …
viewpoint. This comprises the collection of respective databases with emotional contents …
Atlas-annotation tool using partially supervised learning and multi-view co-learning in human-computer-interaction scenarios
In this paper we present ATLAS, a new graphical tool for annotation of multi-modal data
streams. Although Atlas has been developed for data bases collected in human computer …
streams. Although Atlas has been developed for data bases collected in human computer …
The influence of annotation, corpus design, and evaluation on the outcome of automatic classification of human emotions
The integration of emotions into human–computer interaction applications promises a more
natural dialog between the user and the technical system operators. In order to construct …
natural dialog between the user and the technical system operators. In order to construct …