Difference between revisions of "Projects:2019s2-24501 Voice Control Communication System for Stroke Patients"
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Revision as of 16:55, 19 September 2019
Contents
Team
Students
- Mohammad Faiz Bin Abdul Halim
- Xingyu Chen
- Ruoshi Sun
Supervisors
- A/Prof. Mathias Baumert
- Dr Brian Ng
Abstract
During the acute phase of brain stroke, people often suffer severe cognitive impairment and lack the ability to clearly articulate themselves as their speech is impaired. This severely restricts communication between patient and caregiver and is a cause of deep frustration during rehabilitation. The aim of this project is to develop an Android-based communication App that allows patients to utter a variety of sounds and performs 1:1 mapping to a variety of pre-programmed words. Patient-individual libraries will be created that are at the foundation of machine learning algorithms that match incoming voice commands to voice samples from the library. This project will help develop skills in machine learning and Android App development and provide the opportunity to experience work with real patients in the hospital.
