Emotion capture based on body postures and movements
Alexis Clay (LIPSI), Nadine Couture (LIPSI), Laurence Nigay (CLIPS -, IMAG)

TL;DR
This paper explores how body postures and movements can be used to design interactive systems that recognize human emotions, reviewing literature and identifying key movement features for emotion detection.
Contribution
It introduces a framework for capturing and analyzing body movements to recognize human emotions in interactive systems.
Findings
Identified key movement features linked to specific emotions
Reviewed existing approaches to emotion characterization
Proposed a preliminary system for emotion recognition based on body movements
Abstract
In this paper we present a preliminary study for designing interactive systems that are sensible to human emotions based on the body movements. To do so, we first review the literature on the various approaches for defining and characterizing human emotions. After justifying the adopted characterization space for emotions, we then focus on the movement characteristics that must be captured by the system for being able to recognize the human emotions.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsSocial Robot Interaction and HRI · Emotion and Mood Recognition · Gaze Tracking and Assistive Technology
