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» Using GP to Model Contextual Human Behavior
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CVPR
2012
IEEE
11 years 10 months ago
Parameterizing interpersonal behaviour with Laban movement analysis - A Bayesian approach
—In this paper we propose a probabilistic model to parameterize human interactive behaviour from human motion. To Support the model taxonomy, we use Laban Movement Analysis (LMA)...
Kamrad Khoshhal Roudposhti, Luís Santos, Ha...
IROS
2009
IEEE
201views Robotics» more  IROS 2009»
14 years 2 months ago
Modeling tool-body assimilation using second-order Recurrent Neural Network
— Tool-body assimilation is one of the intelligent human abilities. Through trial and experience, humans are capable of using tools as if they are part of their own bodies. This ...
Shun Nishide, Tatsuhiro Nakagawa, Tetsuya Ogata, J...
ICCV
1999
IEEE
14 years 10 months ago
A Dynamic Bayesian Network Approach to Figure Tracking using Learned Dynamic Models
The human figure exhibits complex and rich dynamic behavior that is both nonlinear and time-varying. However, most work on tracking and synthesizing figure motion has employed eit...
Vladimir Pavlovic, James M. Rehg, Tat-Jen Cham, Ke...
ATAL
2009
Springer
14 years 2 months ago
Learning a model of speaker head nods using gesture corpora
During face-to-face conversation, the speaker’s head is continually in motion. These movements serve a variety of important communicative functions. Our goal is to develop a mod...
Jina Lee, Stacy Marsella
CORR
2010
Springer
155views Education» more  CORR 2010»
13 years 8 months ago
Data-driven Co-clustering Model of Internet Usage in Large Mobile Societies
Design and simulation of future mobile networks will center around human interests and behavior. We propose a design paradigm for mobile networks driven by realistic models of use...
Saeed Moghaddam, Ahmed Helmy, Sanjay Ranka, Manas ...