activity
20232026
most citedMultiMediate'23: Engagement Estimation and Bodily Behaviour Recognition in Social Interactions

19 citations · 33 across the 11 of their papers we have counts for

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Showing 2024Show all

9 papers · 1 filter

cs.MM2024★ 7 cited

MultiMediate'24: Multi-Domain Engagement Estimation

Philipp Müller, Michal Balazia, Tobias Baur +8

Estimating the momentary level of participant's engagement is an important prerequisite for assistive systems that support human interactions. Previous work has addressed this task…

cs.HC2024

VoiceX: A Text-To-Speech Framework for Custom Voices

Silvan Mertes, Daksitha Withanage Don, Otto Grothe +3

Modern TTS systems are capable of creating highly realistic and natural-sounding speech. Despite these developments, the process of customizing TTS voices remains a complex task, m…

cs.CL2024

Recognizing Emotion Regulation Strategies from Human Behavior with Large Language Models

Philipp Müller, Alexander Heimerl, Sayed Muddashir Hossain +5

Human emotions are often not expressed directly, but regulated according to internal processes and social display rules. For affective computing systems, an understanding of how us…

cs.HC2024★ 2 cited

DISCOVER: A Data-driven Interactive System for Comprehensive Observation, Visualization, and ExploRation of Human Behaviour

Dominik Schiller, Tobias Hallmen, Daksitha Withanage Don +2

Understanding human behavior is a fundamental goal of social sciences, yet its analysis presents significant challenges. Conventional methodologies employed for the study of behavi…

cs.HC2024

Socially Interactive Agents for Robotic Neurorehabilitation Training: Conceptualization and Proof-of-concept Study

Rhythm Arora, Pooja Prajod, Matteo Lavit Nicora +6

Individuals with diverse motor abilities often benefit from intensive and specialized rehabilitation therapies aimed at enhancing their functional recovery. Nevertheless, the chall…

cs.CV2024★ 5 cited

Faces of Experimental Pain: Transferability of Deep Learned Heat Pain Features to Electrical Pain

Pooja Prajod, Dominik Schiller, Daksitha Withanage Don +1

The limited size of pain datasets are a challenge in developing robust deep learning models for pain recognition. Transfer learning approaches are often employed in these scenarios…

eess.SP2024

Stressor Type Matters! -- Exploring Factors Influencing Cross-Dataset Generalizability of Physiological Stress Detection

Pooja Prajod, Bhargavi Mahesh, Elisabeth André

Automatic stress detection using heart rate variability (HRV) features has gained significant traction as it utilizes unobtrusive wearable sensors measuring signals like electrocar…

cs.SD2024

Unimodal Multi-Task Fusion for Emotional Mimicry Intensity Prediction

Tobias Hallmen, Fabian Deuser, Norbert Oswald +1

In this research, we introduce a novel methodology for assessing Emotional Mimicry Intensity (EMI) as part of the 6th Workshop and Competition on Affective Behavior Analysis in-the…

cs.HC2024

The AffectToolbox: Affect Analysis for Everyone

Silvan Mertes, Dominik Schiller, Michael Dietz +2

In the field of affective computing, where research continually advances at a rapid pace, the demand for user-friendly tools has become increasingly apparent. In this paper, we pre…