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Mobile Medical Information for the Deaf

This project addresses the limited access to illness information faced by Deaf individuals. We propose a mobile application that allows users to enter health-related queries and receive video content related to their questions. The application features a user-friendly interface where users can input queries to retrieve relevant videos from a database. The application effectively breaks down queries into separate words, searches for videos containing these words, rates their relevance, and compiles a list of results to aid in patient education and awareness within the Deaf community.

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Mobile Medical Information for the Deaf

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  1. Mobile Medical Information for the Deaf By Siphokazi Dayile Supervisor I Venter Co-Supervisor WD Tucker

  2. Quick Recap • Problem • Deaf people have limited access to illness information • Proposed Solution • A mobile application that will help Deaf people access illness information using a mobile phone

  3. User Interface Specification • Home Screen • User instructed to enter a query

  4. UIS List of video’s displayed related to the user’s query

  5. UIS User play the video

  6. High Level Design

  7. Low level Design • split query into separate words • for each word in query • get video containing the word from database • if this video is in the score table • add concurrent word occurrences on the video to the score table • if this video is not in the score table • add the video to the score table and store current word • occurrences for this video in the score table • create a container to return the video • retrieve video information from database and store • Return container

  8. Project Plan

  9. References • A, F. (2005). Improving the deaf communities access to prostate and testicular cancer. BMC public health. • Adcock J, M. C. (2005). Towards effective indexing for very large video sequence database. Brisbane: University of Queensland. • April L, W. D. (2003). Deaf and hard of hearing HIV prevention needs. BMC Public health. •J, S. (2000). Challenges and techniques for effective and efficient similarity search in large video database. Brisbane: University of Queensland.

  10. Demo • Demonstration of UIS • User enters query • User view result

  11. Questions

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