A Review on Sign Language Conversion Into Text and Audio
Abstract & Details
Research Area
Electronics and Communication Engineering
Keywords
Differently abled
Hand Gesture Recognition
Sign Language
Text to Speech
Abstract
Improvement in Science and Technology aims to better world. The need for a comfortable and simplified life paves way to opportunities that can enhance the existing technology. The empowerment of differently abled will always stand as a priority. Disabled people face non-ending difficulties. Inability to speak is considered to be true disability. People with this disability use different modes to communicate with others, there are n number of methods available for their communication one such common method of communication is sign language. Sign language allows people to communicate with human body language. Sign Language Recognition is one of the most growing fields of research area. Many new techniques have been developed recently.
Sign language is one of the well-structured code language, where each sign has some meaning allocated to it. As we know sign language is the only way for communication for differently abled people. The computer can be modified in such a way that it can decipher sign dialect to content arrange, and can help to remove differences between the typical individuals and the differently abled people. These proposed frameworks which is able to recognize the different letter and sentence sets for Human-Computer interaction giving more exact outcomes about at slightest conceivable time. It'll not only be an advantage for differently abled people but can also be utilized by people belonging to both technical and non-technical background in different applications within the innovation field.
The main purpose of these papers is to convert the signs performed by the dumb people into its corresponding audio and text. In order to do this the user has to perform his/her signs in front of the camera. The system would compare the recorded actions to the contents of its database to play the audio and show the text to understand what the user is actually trying to convey.
License
This work is licensed under a Creative
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Author Information
| # | Name | Institute / Affiliation |
|---|---|---|
| 1 | Preksha V L | Vidyavardhaka College of Engineering |
| 2 | Nishchal Gowda H S | Vidyavardhaka College of Engineering |
| 3 | Prathibha M | Vidyavardhaka College of Engineering |
| 4 | Prathiksha N V | Vidyavardhaka College of Engineering |
| 5 | Dr. Surekha T P | Vidyavardhaka College of Engineering |
How to Cite
Use the following formats to cite this article in your research.
APA Style
L, Preksha V, S, Nishchal Gowda H, M, Prathibha, V, Prathiksha N, & P, Dr. Surekha T (2022). A Review on Sign Language Conversion Into Text and Audio. International Journal of Advance Research and Innovative Ideas In Education, 8(3), 193-196.
MLA Style
L, Preksha V, et al. "A Review on Sign Language Conversion Into Text and Audio." International Journal of Advance Research and Innovative Ideas In Education, vol. 8, no. 3, 2022, pp. 193-196.
IEEE Style
Preksha V L, Nishchal Gowda H S, Prathibha M, Prathiksha N V, and Dr. Surekha T P, "A Review on Sign Language Conversion Into Text and Audio," International Journal of Advance Research and Innovative Ideas In Education, vol. 8, no. 3, pp. 193-196, 2022.
Vancouver Style
L Preksha V, S Nishchal Gowda H, M Prathibha, V Prathiksha N, P Dr. Surekha T. A Review on Sign Language Conversion Into Text and Audio. International Journal of Advance Research and Innovative Ideas In Education. 2022;8(3):193-196.
Harvard Style
L, Preksha V, S, Nishchal Gowda H, M, Prathibha, V, Prathiksha N, & P, Dr. Surekha T (2022) 'A Review on Sign Language Conversion Into Text and Audio', International Journal of Advance Research and Innovative Ideas In Education, 8(3), pp. 193-196.
Chicago Style
L, Preksha V, et al. "A Review on Sign Language Conversion Into Text and Audio." International Journal of Advance Research and Innovative Ideas In Education 8, no. 3 (2022): 193-196.
Turabian Style
L, Preksha V, et al. "A Review on Sign Language Conversion Into Text and Audio." International Journal of Advance Research and Innovative Ideas In Education 8, no. 3 (2022): 193-196.
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