• Corpus ID: 11631793

Hand Gesture Recognition : Sign to Voice System ( S 2 V )

  title={Hand Gesture Recognition : Sign to Voice System ( S 2 V )},
  author={Oi-Mean Foong and Tan Jung Low and T SatrioWibowo},
Hand gesture is one of the typical methods used in sign language for non-verbal communication. It is most commonly used by people who have hearing or speech problems to communicate among themselves or with normal people. Various sign language systems have been developed by manufacturers around the globe but they are neither flexible nor cost-effective for the end users. This paper presents a system prototype that is able to automatically recognize sign language to help normal people to… 
6 Citations

Figures and Tables from this paper

An Efficient method for Sign-Gestures Language Data acquisition and Recognition
A frame work for analyzing and recognizing the sign gesture language and proves to be more efficient in data acquisition using sign gesture.
Review on Text and Speech Conversion Techniques based on Hand Gesture
An extensive review is made on the various approaches available for gesture recognition and suggests a system which can assist the deaf-dumb people in converting gestures to text and/or speech.
Review Paper on Sign Language Recognition Techniques
The most significance of this paper is to review the key finding of the comparison of similar system and also technology used in vision based hand gesture recognition.
A Cross-Lingual Mobile Medical Communication System Prototype for Foreigners and Subjects with Speech, Hearing, and Mental Disabilities Based on Pictograms
This work proposes a high-speed, intuitive, Internet- free, voice-free, and text-free tool suited for emergency medical communication that provides easy communication for individuals who have speech or hearing impairment or mental health issues that impair communication, as well as foreigners who do not speak the local language.
Generation of Iris Template for recognition of Iris in Efficient Manner
This paper discusses how different algorithm’s function can be used in finding an innovative solution for iris image acquisition using an efficient localization, normalization and encoding algorithm.


A boosted classifier tree for hand shape detection
  • Eng-Jon Ong, R. Bowden
  • Computer Science
    Sixth IEEE International Conference on Automatic Face and Gesture Recognition, 2004. Proceedings.
  • 2004
A novel, unsupervised approach to training an efficient and robust detector which is capable of not only detecting the presence of human hands within an image but classifying the hand shape.
Machine vision - theory, algorithms, practicalities
Computer Vision: A First Course
Perception A pattern recognition system Image acquisition and modelling Low level processing Segmentation A PCB example Line labelling Towards three dimensions Knowledge representation Rule based
International Journal of Electrical and Electronics Engineering
International Journal of Electrical & Electronics Engineering (ISSN 1694- 2310) is an open access, blind peer reviewed international journal that emphasizes on  research,  innovation, advancement,
The Syntax of American Sign Language: Functional Categories and Hierarchical Structure by Carol Neidle et al.
  • K. Emmorey
  • Linguistics
    Trends in Cognitive Sciences
  • 2000