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» Markov-Based Failure Prediction for Human Motion Analysis
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CVPR
2006
IEEE
14 years 1 months ago
Learning Joint Top-Down and Bottom-up Processes for 3D Visual Inference
We present an algorithm for jointly learning a consistent bidirectional generative-recognition model that combines top-down and bottom-up processing for monocular 3d human motion ...
Cristian Sminchisescu, Atul Kanaujia, Dimitris N. ...
DSN
2003
IEEE
14 years 25 days ago
Human-Machine Diversity in the Use of Computerised Advisory Systems: A Case Study
Computer-based advisory systems form with their users composite, human-machine systems. Redundancy and diversity between the human and the machine are often important for the depe...
Lorenzo Strigini, Andrey Povyakalo, Eugenio Alberd...
ICRA
2006
IEEE
134views Robotics» more  ICRA 2006»
14 years 1 months ago
EMG-based Teleoperation of a Robot Arm in Planar Catching Movements using ARMAX Model and Trajectory Monitoring Techniques
— This paper presents a methodology of teleoperating a robot arm, using electromyographic (EMG) signals and a trajectory monitoring technique based on human motion analysis. EMG ...
Panagiotis K. Artemiadis, Kostas J. Kyriakopoulos
ECCV
2010
Springer
14 years 26 days ago
Gaussian-like Spatial Priors for Articulated Tracking
We present an analysis of the spatial covariance structure of an articulated motion prior in which joint angles have a known covariance structure. From this, a well-known, but ofte...
PG
2007
IEEE
14 years 1 months ago
Multilinear Motion Synthesis with Level-of-Detail Controls
Interactive animation systems often use a level-of-detail (LOD) control to reduce the computational cost by eliminating unperceivable details of the scene. Most methods employ a m...
Tomohiko Mukai, Shigeru Kuriyama