Corpus ID: 212505441

Design of Communication System to Interact With the Dumb & Deaf and Home Automation System Based On Hand Gesture Technology Using PCNN Algorithm

@inproceedings{Tiwari2016DesignOC,
  title={Design of Communication System to Interact With the Dumb \& Deaf and Home Automation System Based On Hand Gesture Technology Using PCNN Algorithm},
  author={Anamika Tiwari and K. Mohana Sundaram},
  year={2016}
}
In this paper, a gesture based sign language recognition system and a communication module is proposed using a novel technique for interacting with the dumb and the deaf. This system provides a two-way communication, where both the normal individual and the dumb or the deaf can communicate with each other without the help of an intermediate or translator. Here a load control prototype is also proposed for regulating the domestic appliances from anywhere out, in order to save energy. This… Expand

Figures from this paper

References

SHOWING 1-10 OF 12 REFERENCES
A Framework for Hand Gesture Recognition Based on Accelerometer and EMG Sensors
TLDR
A framework for hand gesture recognition based on the information fusion of a three-axis accelerometer (ACC) and multichannel electromyography (EMG) sensors that facilitates intelligent and natural control in gesture-based interaction. Expand
HMM based hand gesture recognition: A review on techniques and approaches
  • M. A. Moni, A. B. M. S. Ali
  • Computer Science
  • 2009 2nd IEEE International Conference on Computer Science and Information Technology
  • 2009
TLDR
This paper presents part of literature review on ongoing research and findings on different technique and approaches in gesture recognition using HMMs for vision-based approach. Expand
Glove-Based Continuous Arabic Sign Language Recognition in User-Dependent Mode
TLDR
A glove-based Arabic sign language recognition system using a novel technique for sequential data classification using the Modified k-Nearest Neighbor (MKNN) approach, which is superior in terms of classification rates while eliminating restrictions of vision-based systems. Expand
Georgia tech gesture toolkit: supporting experiments in gesture recognition
TLDR
The Georgia Tech Gesture Toolkit GT2k is introduced which leverages Cambridge University's speech recognition toolkit, HTK, to provide tools that support gesture recognition research and four ongoing projects that utilize the toolkit in a variety of domains are presented. Expand
A Chinese sign language recognition system based on SOFM/SRN/HMM
TLDR
This paper uses the self-organizing feature maps (SOFM) as different signers' feature extractor for continuous hidden Markov models (HMM) so as to transform input signs into significant and low-dimensional representations that can be well modeled by the emission probabilities of HMM. Expand
Towards subject independent continuous sign language recognition: A segment and merge approach
TLDR
A segment-based probabilistic approach to robustly recognize continuous sign language sentences using a two-layer conditional random field model and a novel decoding scheme for the semi-Markov CRF used in the 2-layer CRF. Expand
Vision-Based Gesture Recognition: A Review
TLDR
A survey on recent vision-based gesture recognition approaches is given and methods of static hand posture and temporal gesture recognition are reviewed, along with some thoughts about future research directions. Expand
A Survey of Glove-Based Systems and Their Applications
TLDR
This paper surveys glove systems and their applications, analyzes the characteristics of the devices, provides a road map of the evolution of the technology, and discusses limitations of current technology and trends at the frontiers of research. Expand
A Survey on Sign Language Recognition
TLDR
This paper is based on the survey of the current research trends in the field of SL recognition to highlight the current status of different research aspects of the area and critically analyzed the currentResearch to identify the problem areas and challenges faced by the researchers. Expand
Hidden Markov model for sign language recognition: A review,
  • in Proc. 2nd Hellenic Conf. AI, SETN-2002, Thessaloniki, Greece, Apr
  • 2013
...
1
2
...