The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Deriving action and behavior primitives from human motion data
Abstract
We address the problem of creating basis behaviors for modularizing humanoid robot control and representing human activity. These behaviors, called perceptual-motor primitives, serve as a substrate for linking a system's perception of human activities and the ability to perform those activities. We present a data-driven method for deriving perceptual-motor action and behavior primitives from human motion capture data. In order to find these primitives, we employ a spatio-temporal non-linear dimension reduction technique on a set of motion segments. From this transformation, motions representing the same action can be clustered and generalized. Further dimension reduction iterations are applied to derive extended-duration behaviors.
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Citations
Cites
A Global Geometric Framework for Nonlinear Dimensionality Reduction
Tenenbaum, J. B., Silva, V. D., & Langford, J. C. (2000) · Science · doi:10.1126/science.290.5500.2319 · Cited by 13,585
Cited by
A survey of advances in vision-based human motion capture and analysis
Moeslund, T. B., Hilton, A., & Krüger, V. (2006) · Computer Vision and Image Understanding · doi:10.1016/j.cviu.2006.08.002 · Cited by 2,541
Principal Manifolds and Nonlinear Dimension Reduction via Local Tangent Space Alignment
Zhang, Z., & Zha, H. (2002) · arXiv (Cornell University) · doi:10.48550/arxiv.cs/0212008 · Cited by 526
Metadata
- Authors
- Jenkins, O. C., & Mataric, M. J.
- Venue
- IEEE/RSJ International Conference on Intelligent Robots and System
- Publisher
- IEEE
- Published
- 2003-06-25
- Volume
- 3
- Pages
- 2551-2556
- OpenAlex
- W2165102974
- Cited by
- 163
- References
- 1
- FWCI
- 19.25
- Type
- conference paper
- Language
- en
- Open access
- closed
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- Jenkins, O. C., & Mataric, M. J. (2003). Deriving action and behavior primitives from human motion data. IEEE/RSJ International Conference on Intelligent Robots and System. https://doi.org/10.1109/irds.2002.1041654
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