Extraction of primitive representation from captured human movements and measured ground reaction force to generate physically consistent imitated behaviors

No abstract is available for this paper.

• Publication year

  2013

• Venue

  Neural Networks

• Publication date

  2013-04-01

• Fields of study

  Medicine, Computer Science, Engineering

• Identifiers
  DOI 10.1016/j.neunet.2013.01.002PMID 23380596
• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar, PubMed

• No claims are published for this paper.

• No concepts are published for this paper.

• Optimal Estimation

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  2009cited by this paper
• Contact-aware nonlinear control of dynamic characters

  2009cited by this paper
• Full-Body Compliant Human–Humanoid Interaction: Balancing in the Presence of Unknown External Forces

  2007influential reference
• On Learning, Representing, and Generalizing a Task in a Humanoid Robot

  2007cited by this paper
• Simulating biped behaviors from human motion data

  2007cited by this paper
• Primitive communication based on motion recognition and generation with hierarchical mimesis model

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  2006cited by this paper
• Dynamic Imitation in a Humanoid Robot through Nonparametric Probabilistic Inference

  2006cited by this paper
• Gaussian Process Dynamical Models

  2005cited by this paper
• Understanding motor events: a neurophysiological study

  2004cited by this paper
• Segmenting Motion Capture Data into Distinct Behaviors

  2004cited by this paper
• Generating whole body motions for a biped humanoid robot from captured human dances

  2003cited by this paper
• A unifying computational framework for motor control and social interaction.

  2003cited by this paper
• Keyframe compression and decompression for time series data based on the continuous hidden Markov model

  2003cited by this paper
• Computational approaches to motor learning by imitation.

  2003cited by this paper
• Multiple Model-Based Reinforcement Learning

  2002cited by this paper
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  2002cited by this paper
• Learning Attractor Landscapes for Learning Motor Primitives

  2002cited by this paper
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  2002cited by this paper
• MOSAIC Model for Sensorimotor Learning and Control

  2001cited by this paper
• Learning Switching Linear Models of Human Motion

  2000cited by this paper
• Dynamics filter - concept and implementation of online motion generator for human figures

  2000cited by this paper
• Variational Learning for Switching State-Space Models

  2000influential reference
• Is imitation learning the route to humanoid robots?

  1999cited by this paper
• Mirror neurons and the simulation theory of mind-reading.

  1998cited by this paper
• Multiple paired forward and inverse models for motor control

  1998cited by this paper
• Mirror neurons and the simulation theory of mind-reading

  1998cited by this paper
• The EM algorithm and extensions

  1996cited by this paper
• An Alternative Model for Mixtures of Experts

  1994cited by this paper
• Original Contribution: Recognition of manipulated objects by motor learning with modular architecture networks

  1993cited by this paper
• Recognition of manipulated objects by motor learning with modular architecture networks

  1991cited by this paper
• Maximum likelihood from incomplete data via the EM - algorithm plus discussions on the paper

  1977cited by this paper
• Differential dynamic programming

  1972cited by this paper
• Eurographics/ACM SIGGRAPH SymposiumonComputerAnimation (2011) A. Bargteil andM. vandePanne (Editors) Human Motion Reconstruction from Force Sensors

  year unknowncited by this paper

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  2015cites this paper
• Personal efficiency in highway driving: An agent-based model of driving behaviour from a system design viewpoint

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