Applied Mathematics & Information Sciences

@inproceedings{Wenkai2012AppliedM,
  title={Applied Mathematics \& Information Sciences},
  author={Xu Wenkai and Eung-Joo Lee},
  year={2012}
}
In this paper, we propose an automatic system for recognizing continuous gestures in real-time, including Arabic numbers (0-9) and alphabets (A-Z). We present an improved method for hand area detection and segmentation based on YCbCr and HSI mixed skin color space, the improved CAMSHIFT algorithm used for hand tracking. Orientation dynamic features are obtained from spatiotemporal trajectories and then quantized to generate its code words. An improved HMM-FNN model is proposed for gesture… 

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References

SHOWING 1-10 OF 17 REFERENCES
Real-Time Capable System for Hand Gesture Recognition Using Hidden Markov Models in Stereo Color Image Sequences
This paper proposes a system to recognize the alphabets and numbers in real time from color image sequences by the motion trajectory of a single hand using Hidden Markov Models (HMM). Our system is
Evaluation of HMM training algorithms for letter hand gesture recognition
TLDR
An application using computer vision for letter hand gesture recognition using Hidden Markov models to provide an alternate text input mechanism for camera enabled handheld devices, such as video mobile phones and PDAs.
Model structure selection & training algorithms for an HMM gesture recognition system
TLDR
It is shown that recognition rates improve when moving from a fully-connected model to a left-right model and aLeft-right banded 'staircase' model with peak recognition rates of 84.8, 92.31%, and 97.31% respectively.
Hand gesture recognition using combined features of location, angle and velocity
A Novel Method to Recognize Complex Dynamic Gesture by Combining HMM and FNN Models
  • Xiying Wang, G. Dai
  • Computer Science
    2007 IEEE Symposium on Computational Intelligence in Image and Signal Processing
  • 2007
TLDR
A novel HMM-FNN model is proposed in this paper that combines temporal modeling capability of hidden Markov model, and ability of fuzzy neural network for fuzzy rule modeling and fuzzy inference, and achieves a higher recognition rate than conventional HMM model.
Hand movement classification using an adaptive fuzzy expert system
TLDR
A prototype of the Hand Sign Classification (HSC) system is developed that classifies a series of the full degrees-of-freedom kinematic data of a hand into sign language signs as a fuzzy expert system in which the sign knowledge can be represented by high level imprecise descriptions.
View invariant hand gesture recognition using 3D trajectory
TLDR
A view invariant hand gesture recognition algorithm based on the assumption that the gesture trajectory is almost in a plane, which is called principal gesture plane is proposed.
The Hand Mouse: Hand Detection and Hand Tracking
TLDR
A novel method of hand detection based on the nature of skin color clustering in the distribution of CbCr and the maximum likelihood principle and the CAMSHIFT algorithm for hand tracking is presented.
Research of the Improved Camshift Tracking Algorithm
TLDR
The improved Camshift algorithm based on the Kalman filter, which is applied to track a moving target, effectively overcomes the shortcoming of the traditional Cam shift algorithm.
Computer Vision: A Modern Approach
TLDR
Comprehensive and up-to-date, this book includes essential topics that either reflect practical significance or are of theoretical importance and describes numerous important application areas such as image based rendering and digital libraries.
...
...