Corpus ID: 212451337

Hand Posture Detection: Principle, Need and Algorithms

@inproceedings{Singh2015HandPD,
  title={Hand Posture Detection: Principle, Need and Algorithms},
  author={Prabhjit Singh},
  year={2015}
}
Hand posture identification research has gained much attention because of its applications for interactive human–machine interface and virtual environments. Hand postures are frequently used as intuitive and convenient communications in our daily life, and the recognition of hand postures can be widely applied in human computer interfaces, robot control, and augmented reality, etc. Therefore an efficient, fast and reliable hand posture system is the need for today. In this paper we present the… Expand

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References

SHOWING 1-10 OF 13 REFERENCES
Features extraction from hand images based on new detection operators
TLDR
The novel detection operators for features of hand images are presented in the above two steps, which have been successfully applied to the 3D hand shape tracking system and 2D handshape recognition system. Expand
Hand gesture recognition based on free-form contours and probabilistic inference
TLDR
A computer vision system is described that captures color image sequences, detects and recognizes static hand poses and interprets pose sequences in terms of gestures, allowing a bi-driven control of the entire system. Expand
Real Time Gesture Recognition System for Interaction in Dynamic Environment
TLDR
A system for gestural interaction between a user and a computer in dynamic environment using image processing techniques for detection, segmentation, tracking and recognition of hand gestures for converting it to a meaningful command. Expand
Gabor filter-based hand-pose angle estimation for hand gesture recognition under varying illumination
TLDR
A novel approach for hand gesture recognition based on Gabor filters and support vector machine (SVM) classifiers for environments with varying illumination is presented and is robust against varying illumination and insensitive to hand-pose variations. Expand
Dynamic hand gesture recognition: An exemplar-based approach from motion divergence fields
TLDR
A new visual representation for hand motions based on the motion divergence fields, which can be normalized to gray-scale images, and achieves higher recognition accuracy than other state-of-the-art motion and spatio-temporal features on this database. Expand
Gaussian Process Dynamical Models for hand gesture interpretation in Sign Language
TLDR
The main objective of this paper is to introduce Gaussian Process Dynamical Model as an alternative machine learning method for hand gesture interpretation in Sign Language and presents the experimental results for Gaussian process Dynamical model against a database of 66 hand gestures from the Malaysian Sign Language. Expand
Comparative Study of Sign Language Recognition Systems
Sign Language (SL) is the communication method for deaf people. But these sign languages are not standard & universal. The grammar differs from country to country. As the sign language is the onlyExpand
Sign language recognition using sub-units
This paper discusses sign language recognition using linguistic sub-units. It presents three types of sub-units for consideration; those learnt from appearance data as well as those inferred fromExpand
A Hand Posture Recognition Method Based on MultiFeature Fusion and Template Matching ”
  • 2012
Czapnik∗,”Hand posture recognition based on free–form contours and probabilistic inference
  • int. J. Appl. Math. Comput. Sci., vol. 22,
  • 2012
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