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» Dynamic Models of Human Motion
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HAPTICS
2002
IEEE
14 years 3 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...
GRAPHICSINTERFACE
2003
13 years 11 months ago
Dynamic Canvas for Non-Photorealistic Walkthroughs
The static background paper or canvas texture usually used for non-photorealistic animation greatly impedes the sensation of motion and results in a disturbing “shower door” e...
Matthieu Cunzi, Joëlle Thollot, Sylvain Paris...
IROS
2009
IEEE
134views Robotics» more  IROS 2009»
14 years 4 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,...
ICIP
1998
IEEE
14 years 11 months ago
Deriving Facial Articulation Models from Image Sequences
In this paper, human facial articulation models are derived from frontal and side view image sequences using connected vibrations non-rigid motion tracking algorithm. First, a 3D ...
Hai Tao, Thomas S. Huang
RSS
2007
136views Robotics» more  RSS 2007»
13 years 11 months ago
The Stochastic Motion Roadmap: A Sampling Framework for Planning with Markov Motion Uncertainty
— We present a new motion planning framework that explicitly considers uncertainty in robot motion to maximize the probability of avoiding collisions and successfully reaching a ...
Ron Alterovitz, Thierry Siméon, Kenneth Y. ...