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» Dynamic Hand Pose Recognition Using Depth Data
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ICPR
2008
IEEE
15 years 10 months ago
Hand motion expertise analysis using dynamic hierarchical activity modeling and isomap
Several domains such as sports, surgery, dance etc. are characterized by a significant influence of expertise of the performer on the motion pattern and style. The retrieval of ex...
Kanav Kahol, Mithra Vankipuram
PR
2007
216views more  PR 2007»
14 years 9 months ago
Reconstruction of 3D human body pose from stereo image sequences based on top-down learning
This paper presents a novel method for reconstructing a 3D human body pose from stereo image sequences based on a top-down learning method. However, it is inefficient to build a ...
Hee-Deok Yang, Seong-Whan Lee
82
Voted
3DPVT
2002
IEEE
186views Visualization» more  3DPVT 2002»
15 years 2 months ago
A Gesture Recognition System Using 3D Data
In this paper a gesture recognition system using 3D data is described. The system relies on a novel 3D sensor that generates a dense range image of the scene. The main novelty of ...
Sotiris Malassiotis, Niki Aifanti, Michael G. Stri...
ECCV
2006
Springer
14 years 11 months ago
Recognition and Segmentation of 3-D Human Action Using HMM and Multi-class AdaBoost
Our goal is to automatically segment and recognize basic human actions, such as stand, walk and wave hands, from a sequence of joint positions or pose angles. Such recognition is d...
Fengjun Lv, Ramakant Nevatia
IROS
2007
IEEE
134views Robotics» more  IROS 2007»
15 years 3 months ago
Feature selection for grasp recognition from optical markers
Abstract— Although the human hand is a complex biomechanical system, only a small set of features may be necessary for observation learning of functional grasp classes. We explor...
Lillian Y. Chang, Nancy S. Pollard, Tom M. Mitchel...