Projects:2019s2-24501 Voice Control Communication System for Stroke Patients

Abstract here

Introduction

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.

Project team

Project students

• Mohammad Faiz Bin Abdul Halim
• Xingyu Chen
• Ruoshi Sun

Supervisors

• A/Prof. Mathias Baumert
• Dr Brian Ng

Background

Topic 1

Every year, about 50,000 people in Australia suffer from a stroke, and now stroke have become a major hazard affecting the health of Australians. And to a certain extent, it has raised the burden of public resources and raised the expenditure of government medical investment. One of the largest points for investment is that the communication between the stroke patient and the caregiver is costly in both time and money. Because of the patient's symptoms, they may not be able to express their meaning well, or the caregiver cannot understand the patient's specific needs very clearly. An application to reduce the cost of communication between stroke patients and caregivers is required in this way.

References

[1] a, b, c, "Simple page", In Proceedings of the Conference of Simpleness, 2010.

[2] ...