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» Modeling and Learning Contact Dynamics in Human Motion
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ICCV
2005
IEEE
14 years 1 months ago
Priors for People Tracking from Small Training Sets
We advocate the use of Scaled Gaussian Process Latent Variable Models (SGPLVM) to learn prior models of 3D human pose for 3D people tracking. The SGPLVM simultaneously optimizes a...
Raquel Urtasun, David J. Fleet, Aaron Hertzmann, P...
ICPR
2008
IEEE
14 years 2 months ago
2D and 3D upper body tracking with one framework
We propose a Dynamic Bayesian Network (DBN) model for upper body tracking. We first construct a Bayesian Network (BN) to represent the human upper body structure and then incorpo...
Lei Zhang, Jixu Chen, Zhi Zeng, Qiang Ji
HAPTICS
2002
IEEE
14 years 1 months ago
Building a Task Language for Segmentation and Recognition of User Input to Cooperative Manipulation Systems
We present the results of using Hidden Markov Models (HMMs) for automatic segmentation and recognition of user motions. Previous work on recognition of user intent with man/machin...
C. Sean Hundtofte, Gregory D. Hager, Allison M. Ok...
IROS
2009
IEEE
134views Robotics» more  IROS 2009»
14 years 2 months ago
FES-controlled co-contraction strategies for pathological tremor compensation
Abstract— In this paper, a strategy for pathological tremor compensation based on co-contraction of antagonist muscles induced by Functional Electrical Stimulation (FES) is prese...
Antônio Padilha Lanari Bo, Philippe Poignet,...
ATAL
2010
Springer
13 years 8 months ago
Evaluating models of speaker head nods for virtual agents
Virtual human research has often modeled nonverbal behaviors based on the findings of psychological research. In recent years, however, there have been growing efforts to use auto...
Jina Lee, Zhiyang Wang, Stacy Marsella