Corpus ID: 212486744

Hand gesture recognition and voice conversion system for dumb people

@inproceedings{Padmanabhan2014HandGR,
  title={Hand gesture recognition and voice conversion system for dumb people},
  author={V. Padmanabhan and M. Sornalatha},
  year={2014}
}
in our country around 2.78% of peoples are not able to speak (dumb). Their communications with others are only using the motion of their hands and expressions. We proposed a new technique called artificial speaking mouth for dumb people. It will be very helpful to them for conveying their thoughts to others. Some peoples are easily able to get the information from their motions. The remaining is not able to understand their way of conveying the message. In order to overcome the complexity the… Expand

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References

SHOWING 1-10 OF 15 REFERENCES
Dynamic hand gesture recognition system using moment invariants
TLDR
A dynamic hand gesture recognition system that can simplify the way humans interact with computers and many other non-critical consumer electronic equipment and can be extended to a sign language system for the benefit of the disabled including those with speech disabilities. Expand
AUTOMATED SPEECH RECOGNITION APPROACH TO CONTINUOUS CUE-SYMBOLS GENERATION
The work described in this paper is with an aim of developing a system to aid deaf-dumb people which translates the voice into sign language. This system translates speech signal to American SignExpand
Finger Spelling Recognition from RGB-D Information Using Kernel Descriptor
TLDR
This paper proposes a hybrid system approach for finger spelling recognition using RGB-D information from Kinect sensor and has an accuracy rate of 91.26% when RGB and depth information is used, outperforming other state-of-the-art methods. Expand
Finger Detection for Sign Language Recognition
TLDR
An efficient and fast algorithm for identification of the number of fingers opened in a gesture representing an alphabet of the American Sign Language using Boundary Tracing and Finger Tip Detection is introduced. Expand
A Voice-Input Voice-Output Communication Aid for People With Severe Speech Impairment
TLDR
The VIVOCA was evaluated in a field trial by individuals with moderate to severe dysarthria and confirmed that they can make use of the device to produce intelligible speech output from disordered speech input, with mean recognition accuracy of 67% in these circumstances. Expand
A Deconvolutive Neural Network for Speech Classification With Applications to Home Service Robot
TLDR
A new network architecture, which uses neural network constant modulus algorithm (NNCMA) based equalizer followed by a multi-layer preceptron (MLP) classifier, which is applied to speech samples collected by the home service robot WEVER-R2 for speaker classification in a typical home or office environment. Expand
Orientation sensing for gesture-based interaction with smart artifacts
TLDR
This work refers to orientation dynamics as 'gestures' in an abstract sense, and presents a general framework for orientation sensor based gesture recognition, which enables multi sensor interoperability and it accommodates a variable number of sensors. Expand
Recognition of arm gestures using multiple orientation sensors: gesture classification
  • J. Lementec, P. Bajcsy
  • Engineering
  • Proceedings. The 7th International IEEE Conference on Intelligent Transportation Systems (IEEE Cat. No.04TH8749)
  • 2004
We present a gesture recognition algorithm from Euler angles acquired using multiple orientation sensors. This algorithm is a part of a system for controlling unmanned aerial vehicles (UAVs) in theExpand
Speaker Identification by using Vector Quantization
This paper presents a novel method for Speaker Identification based on Vector Quantization. The Speaker Identification system consists of two phases: training phase and testing phase. VectorExpand
Indian Sign Language Recognition Using Eigen Value Weighted Euclidean Distance Based Classification Technique
TLDR
A system using Eigen value weighted Euclidean distance as a classification technique for recognition of various Sign Languages of India, which comprises of four parts: Skin Filtering, Hand Cropping, Feature Extraction and Classification. Expand
...
1
2
...