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» Learning and Synthesizing Human Body Motion and Posture
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ABIALS
2008
Springer
14 years 4 months ago
A Two-Level Model of Anticipation-Based Motor Learning for Whole Body Motion
Abstract. We present a model of motor learning based on a combination of Operational Space Control and Optimal Control. Anticipatory processes are used both in the learning of the ...
Camille Salaün, Vincent Padois, Olivier Sigau...
AVSS
2007
IEEE
14 years 4 months ago
Camera auto-calibration from articulated motion
This paper presents a novel auto-calibration method from unconstrained human body motion. It relies on the underlying biomechanical constraints associated with human bipedal locom...
Paul Kuo, Jean-Christophe Nebel, Dimitrios Makris
IJCNN
2007
IEEE
14 years 4 months ago
Encoding Complete Body Models Enables Task Dependent Optimal Behavior
— Many neural network models of (human) motor learning focus on the acquisition of direct goal-to-action mappings, which results in rather inflexible motor control programs. We ...
Oliver Herbort, Martin V. Butz
IROS
2008
IEEE
142views Robotics» more  IROS 2008»
14 years 4 months ago
Scaffolding on-line segmentation of full body human motion patterns
Abstract— This paper develops an approach for on-line segmentation of whole body human motion patterns during human motion observation and learning. A Hidden Markov Model is used...
Dana Kulic, Yoshihiko Nakamura
MIG
2009
Springer
14 years 4 months ago
Integrated Analytic and Linearized Inverse Kinematics for Precise Full Body Interactions
Abstract. Despite the large success of games grounded on movement-based interactions the current state of full body motion capture technologies still prevents the exploitation of p...
Ronan Boulic, Daniel Raunhardt