The Audio/Visual Emotion Challenge and Workshop (AVEC 2017)" Real-life depression,
and affect" will be the seventh competition event aimed at comparison of multimedia …

Major depressive disorder is a common mental disorder that affects almost 7% of the adult
US population. The 2017 Audio/Visual Emotion Challenge (AVEC) asks participants to build …

Over the last decade, automatic emotion recognition has become well established. The gold
standard target is thereby usually calculated based on multiple annotations from different …

Audio/visual and mood disorder cues have been recently explored to assist psychologists
and psychiatrists in Depression Diagnosis. In this paper, we propose a random forest …

Affective dimension prediction from multi-modal is becoming an increasingly attractive
research field in artificial intelligence (AI) and human-computer interaction (HCI). Previous …

Depression is a complex mental health disorder that presents significant challenges in
diagnosis and treatment. This study proposes an innovative approach, leveraging artificial …

Engagement estimation in human conversations has been one of the most important
research issues for natural human-robot interaction. However, previous datasets and studies …

In college classrooms, large quantities of digital-media data showing students' affective
behaviors are continuously captured by cameras on a daily basis. To provide a bench mark …

This paper presents our work in the Emotion Sub-Challenge of the 6th Audio/Visual Emotion
Challenge and Workshop (AVEC 2016), whose goal is to explore utilizing audio, visual and …

This paper presents a novel approach in continuous emotion prediction that characterizes
dimensional emotion labels jointly with continuous and discretized representations …