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» Learning and Synthesizing Human Body Motion and Posture
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ABIALS
2008
Springer
16 years 9 days 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
16 years 8 days 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
16 years 7 days 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»
16 years 10 days 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
16 years 14 days 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