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Body expression recognition from animated 3D skeleton
Open accessAbstract
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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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
- green
- hal.science
- 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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