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Found 10 papers, 3 papers with code
MotionScript: Natural Language Descriptions for Expressive 3D Human Motions
This paper proposes MotionScript, a motion-to-text conversion algorithm and natural language representation for human body motions.
Emotional Theory of Mind: Bridging Fast Visual Processing with Slow Linguistic Reasoning
Nevertheless, a gap remains in the zero-shot emotional theory of mind task compared to prior work trained on the EMOTIC dataset.
Contextual Emotion Estimation from Image Captions
In this paper, we explore whether Large Language Models (LLMs) can support the contextual emotion estimation task, by first captioning images, then using an LLM for inference.
Towards Inclusive HRI: Using Sim2Real to Address Underrepresentation in Emotion Expression Recognition
Robots and artificial agents that interact with humans should be able to do so without bias and inequity, but facial perception systems have notoriously been found to work more poorly for certain groups of people than others.
Read the Room: Adapting a Robot's Voice to Ambient and Social Contexts
By designing robots to speak in a more social and ambient-appropriate manner we can improve perceived awareness and intelligence for these agents.
Data-driven emotional body language generation for social robotics
In social robotics, endowing humanoid robots with the ability to generate bodily expressions of affect can improve human-robot interaction and collaboration, since humans attribute, and perhaps subconsciously anticipate, such traces to perceive an agent as engaging, trustworthy, and socially present.
The Many Faces of Anger: A Multicultural Video Dataset of Negative Emotions in the Wild (MFA-Wild)
The portrayal of negative emotions such as anger can vary widely between cultures and contexts, depending on the acceptability of expressing full-blown emotions rather than suppression to maintain harmony.
Ranked #1 on
Emotion Classification
on MFA
Cultural Vocal Bursts Intensity Prediction
Emotion Classification
+1
Gesture2Vec: Clustering Gestures using Representation Learning Methods for Co-speech Gesture Generation
We propose a vector-quantized variational autoencoder structure as well as training techniques to learn a rigorous representation of gesture sequences.
SFU-Store-Nav: A Multimodal Dataset for Indoor Human Navigation
This article describes a dataset collected in a set of experiments that involves human participants and a robot.
The OMG-Empathy Dataset: Evaluating the Impact of Affective Behavior in Storytelling
In this paper, we propose a novel dataset composed of dyadic interactions designed, collected and annotated with a focus on measuring the affective impact that eight different stories have on the listener.
