Cited by 34Human Pose and Action RecognitionHuman Motion and AnimationHand Gesture Recognition Systems

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Body expression recognition from animated 3D skeleton

Open access
Crenn, Arthur, Khan, Rizwan Ahmed, Meyer, Alexandre, Bouakaz, Saida·2016·2016 International Conference on 3D Imaging (IC3D)

Abstract

We present a novel and generic framework for the recognition of body expressions using human postures. Motivated by the state of the art from the domain of psychology, our approach recognizes expression by analyzing sequence of pose. Features proposed in this article are computationally simple and intuitive to understand. They are based on visual cues and provide in-depth understanding of body postures required to recognize body expressions. We have evaluated our approach on different databases with heterogeneous movements and body expressions. Our recognition results exceeds state of the art for some database and for others we obtain results at par with state of the art.

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Crossref · 10.1109/ic3d.2016.7823448

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References 27 · Cited by 34

Research works printed but not linked: 24

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Metadata

Authors
Crenn, A., Khan, R. A., Meyer, A., & Bouakaz, S.
Affiliations
Lyon 1 Université (FR)
Venue
2016 International Conference on 3D Imaging (IC3D)
Publisher
IEEE
Published
2016-12
Volume
2016
Pages
1-7
OpenAlex
W2573985267
Cited by
34
References
27
Citations by year
2026: 2 · 2025: 3 · 2024: 4 · 2023: 8 · 2022: 5 · 2021: 4 · 2020: 3 · 2019: 4 · 2017: 1
FWCI
0.58
Type
conference paper
Language
en
Open access
Licence
other-oa
Locations
  • International Conference on D Imaging (publishedVersion)
  • HAL (submittedVersion, other-oa)
  • IEEE Conference Proceedings
Topics
  • Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Human Pose and Action Recognition
  • Physical Sciences › Computer Science › Computer Graphics and Computer-Aided Design › Human Motion and Animation
  • Physical Sciences › Computer Science › Human-Computer Interaction › Hand Gesture Recognition Systems
Keywords
3D skeleton, posture, visual cues, gesture recognition

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