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CVPR
2008
IEEE
16 years 8 months ago
Human action recognition using Local Spatio-Temporal Discriminant Embedding
Human action video sequences can be considered as nonlinear dynamic shape manifolds in the space of image frames. In this paper, we address learning and classifying human actions ...
Kui Jia, Dit-Yan Yeung
SCL
2010
132views more  SCL 2010»
15 years 1 months ago
Convergence in human decision-making dynamics
A class of binary decision-making tasks called the two-alternative forced-choice task has been used extensively in psychology and behavioral economics experiments to investigate h...
Ming Cao, Andrew Reed Stewart, Naomi Ehrich Leonar...
TIM
2011
134views more  TIM 2011»
15 years 1 months ago
A New Sensory System for Modeling and Tracking Humans Within Industrial Work Cells
—This paper introduces a new sensory system for the 2-D detection, tracking, and prediction of human motions. Using the data acquired through the sensory system, a model of a hum...
Nima Najmaei, Mehrdad R. Kermani, M. A. Al-Lawati
HAPTICS
2007
IEEE
16 years 1 months ago
Human Performance in a Knob-Turning Task
Knob turning is a common task that should influence the design of human-machine interfaces such as prosthetic arms, teleoperated robots, and virtual environments. This study exam...
Netta Gurari, Allison M. Okamura
ECCV
2002
Springer
16 years 8 months ago
Implicit Probabilistic Models of Human Motion for Synthesis and Tracking
Abstract. This paper addresses the problem of probabilistically modeling 3D human motion for synthesis and tracking. Given the high dimensional nature of human motion, learning an ...
Hedvig Sidenbladh, Michael J. Black, Leonid Sigal