HearMe



Visual Based Learning Tool for Hearing-Impaired Children












Hearing Loss in Children

Literature Survey

According to the WHO, approximately 466 million people worldwide have disabling hearing loss, which represents about 6.1% of the world population. [1] Among those people, most of the people with hearing impairments can hear after getting an implant or after starting to use a hearing aid. But those people still tend to use sign language for communication because they do not have an improved vocabulary. Vocabulary development is mostly affected in between the age of 3 to 6 years. [2] Which is why a customized tool for hearing impaired people who are recovering is needed.

The aim of this research is to develop a learning tool to provide the ability to use visual based materials from the surrounding environment to improve vocabulary in early ages. CEHIC worked in collaboration with us the entire period of the research and the tool is developed under their supervision. Furthermore, this tool has four main areas of development. It will initially discover the level of the student each day when they try to use the application. Then the student can explore what’s around the child through the camera, which enables seamless and effective learning experience for the child to interact with his surrounding environment and learn based on them, after that it generate meaningful sentences and phrases from the objects that observed previously and the words they have learnt. Finally, lip reading training which basically involves with training lip movements for the alphabet and that gives visual feedback while monitoring the mouth movements of the child.


Objectives










Methodology

The proposed application solution has 4 main components. They are,

  • Initial Status Determination and Progress Monitoring
  • Object Exploration in Surrounding Environment
  • Contextually Similar Word Generation and Content Filteration
  • Lips+voice assisted speech therapy mechanism

Here illustrates the overall system diagram of the proposed solution which was intended to provide a smart approach for stakeholders, researchers, and the contributors from CEHIC who were working with us in collaboration. Using a mobile app with gamified tasks and explorative learning this application proposes a method which can improve language and cognitive abilities of a hearing-impaired children who are recovering. It was observed that all the models perform with performance with better than 84% accuracy. The application should be used in the field for many years to gather its real impact on the students. The research work is done based on English language and further extension can be taken to do the enhanced the visual learning to other languages. Currently the models are compatible with mobile versions and further enhancement related to increase the compatibility of mobile phones can be done. The learning process is currently done with the supervision of a teacher on premises. But further improvements can be made to accommodate remote learning.

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Technologies

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Python

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React Native

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Unity

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TensorFlow

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MongoDB

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Azure

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Docker

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Colab

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Streamlit

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OpenCV






Kid Image




Our Team




Saluka Udbhasa


Parami Lelkada


Modeesha Kalani


Prof. Janaka Wijeekoon

Supervisor

Mr. Jagath Wickramaratne

Cover-up Supervisor

Mr. Samitha Vidhanaarachchi

Co-Supervisor