mlsanityData to 7 Oct 2026

Bodily expressed emotion understanding through integrating Laban movement analysis

arXiv 2304.02187 ↗First posted 5 Apr 2023cs.AIcited by 3

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Abstract (arXiv)

Body movements carry important information about a person's emotions or mental state and are essential in daily communication. Enhancing the ability of machines to understand emotions expressed through body language can improve the communication of assistive robots with children and elderly users, provide psychiatric professionals with quantitative diagnostic and prognostic assistance, and aid law enforcement in identifying deception. This study develops a high-quality human motor element dataset based on the Laban Movement Analysis movement coding system and utilizes that to jointly learn about motor elements and emotions. Our long-term ambition is to integrate knowledge from computing, psychology, and performing arts to enable automated understanding and analysis of emotion and mental state through body language. This work serves as a launchpad for further research into recognizing emotions through analysis of human movement.

Key facts. Cited by 3 papers in the map (data through 7 Oct 2026). Builds on 20 of its 51 references that are in the map. First posted on arXiv 5 Apr 2023.

Builds on

20 of 51 references.

References · 20

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8 more
  1. 2021Affective Image Content Analysis: Two Decades Review and New Perspectivescited by 47
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Cited by year

Citing papers per year: 2023: 1; 2024: 1; 2025: 1.

3 papers.

  1. 2023Unlocking the Emotional World of Visual Media: An Overview of the Science, Research, and Impact of Understanding Emotioncited by 12
  2. 2024DuoSpaceNet: Leveraging Both Bird's-Eye-View and Perspective View Representations for 3D Object Detectioncited by 2
  3. 2025Mind the Motions: Benchmarking Theory-of-Mind in Everyday Body Languagecited by 1