Student, B.Tech, Department of Computer Science & Engineering, Coimbatore Institute of Technology, Anna University, Coimbatore Tamil Nadu India.

Authors

  • Darshini Rajasekar Student, B.Tech, Department of Computer Science & Engineering, Panimalar Engineering College, Anna University, Chennai Tamil Nadu India. Author
  • Aravind Sekar Student, B.Tech, Department of Computer Science & Engineering, Coimbatore Institute of Technology, Anna University, Coimbatore Tamil Nadu India. Author
  • Magesh Rajasekar Student, B.Tech, Department of Computer Science & Engineering, Coimbatore Institute of Technology, Anna University, Coimbatore Tamil Nadu India. Author

Keywords:

IoT(Internet Of Things), ASL(American Sign Language), UI(User Interface)

Abstract

This Project is an android application enabled with IOT and ASL. Which aids the people with  visual and hearing impairments to learn a new language? Initially the application will prompt the user to select how  he is differently abled (deaf or blind).Now based on the  option selected for blind people the entire UI will be  converted into voice recognition system and text to Speech  ,Hence the user can orally listen and learn and to learn to  write, a special interface called Braille Keyboard is used  ..Three foreign languages are included in this project  namely English French and German. The Alphabets along  with the Braille codes will be taught to the blind people.  The Main Novelty of this project is that a Braille keyboard  is interfaced with the application. If the user is deaf, The  UI will become touch based .Now the user will start  learning visually and he will understand the words through  ASL .After each lesson the user will be tested on their  understanding. The entire features of the application is  designed based on the requirements gathered from the  blind and deaf students by interacting with them in person .  So the main advantage of this application is that it will be  user friendly for the actual real time end user. Every lesson  can be replayed any number of times until the user  understands it thoroughly phones. The application assists  the blind people and make their learning process easier  with voice interface and in addition a Braille keyboard is  also being used .They will be given a clearer vision on the  Braille code for each and every alphabet The application  assists the hearing impaired people to learn a new language  by the standard sign language , the ASL. 

Downloads

Download data is not yet available.

References

Adam Dąbrowski, Damian Huderek, Marcin Iwanowski, Piotr Kardyś, “A new android application for blind and visually impaired people”, IEEE Transaction on Computers, Poland 2016.

R. Guha, V. Gupta, V. Raghunathan, R. Srikant, “User modelling for a personal assistant”, The 8th WSDM International Conference, Shanghai 2015.

S. M. Kulkarni, Rupa N. Digole, ”Smart navigation system for visually impaired person”, International Journal of Advanced Research in Computer and Communication Engineering, India 2015.

Pooja Sharma, Shimi S. L, “Design and Development of Virtual Eye for the blind”, International Journal of Innovative Research in Electrical, Electronics, Instrumentation and Control Engineering, India 2015.

J. Hildenbrand, “What is Google TalkBack”, AndroidCentral.com, 2014.

Bairoju Vishwa Rupa Chary, B.Santosh Kumar, “Rescue system for visually impaired blind persons”, International Journal of Engineering Trends and Technology (IJETT), India 2014.

Harshad Girish Lele, Mrunmayi Mohan Modak, Viten Vilas Lonkar, Varun Vasant Marathe, “Electronis path guidance for visually impaired people”, The International Journal Of Engineering And Science (IJES), India 2013.

Abhishek Srivastava, Adhar Vashishth, Akshay Sharma, “An assistive reading system for visually impaired using OCR and TTS”, International Journal of Computer Applications, India 2014.

Amanda Hastings, Ravi Kuber, Matthew Tretter, “Determining the accessibility of mobile screen readers for blind users”, IASTED Conference on Human Computer Interaction, Baltimore, USA 2012.

Shreyashi Narayan Sawant " Sign Language Recognition System to aid Deaf-dumb People Using PCA" International Journal of Computer Science & Engineering Technology (IJCSET)

Dalia Nashat, Abber Shoker, Reem Al-Ebilan “An Android application to aid uneducated deaf-dumb people” International Journal of Computer Science and Mobile Applications (IJCSMA)

Majzoob Kamal, Aldein Omer, Mohmed Sirelkhtem Adrees, Osama E. Sheta “Alternative Central Mobile Application Strategy to Deaf and Dumb Education in Third World Countries” International Journal of Soft Computing and Engineering (IJSCE)

Downloads

Published

2020-11-30

How to Cite

Student, B.Tech, Department of Computer Science & Engineering, Coimbatore Institute of Technology, Anna University, Coimbatore Tamil Nadu India . (2020). International Journal of Innovative Research in Computer Science & Technology, 8(6), 384–388. Retrieved from https://acspublisher.com/journals/index.php/ijircst/article/view/13032