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Course Overview

This comprehensive course is designed to equip participants with essential skills in leveraging gamification, artificial intelligence (AI), and Internet of Things (IoT) technology in healthcare. Participants will gain a profound understanding of these emerging technologies and develop the expertise to construct an interactive rehabilitation game using smart technologies.

 

Through intensive hands-on sessions, participants will learn the process of data acquisition using IoT sensors. The course will guide them through the utilisation of cloud platforms for secure data storage and instruct on the integration of Virtual Reality (VR) for remote visualisation and monitoring of patient progress, fostering a disciplined and serious approach to healthcare applications.

 

A key emphasis will be placed on cultivating the ability to discern trends through data analytics and AI, with the ultimate goal of enhancing patient care. This course is for serious practitioners who are keen to understand and implement new technologies in healthcare.

 

Objectives

  • Explain the use of game technology in healthcare training
  • Develop an interactive Rehab Game using VR and IoT
  • Manage data acquired from the IoT sensors
  • Perform remote monitoring and trends analysis through Data Visualisation

Who Should Attend

Healthcare Professionals

What You'll Learn

Introduction

  • Overview on the use of Game Technology in Training
  • Comparisons of Media used in training

 

Gamification in Healthcare

  •  Demonstration of use of a VR app in Healthcare

 

Developing the Healthcare Game using VR

  • Introduction to VR app Development Platform

 

Making the game interactive with IoT Data and AI

  • Introduction of IoT Data and AI in VR App

 

Supporting Rehab Games

  • Case Study: Physiotherapy and Games

 

Enhancing Rehab using AI with Smart Technology

  • Measuring activity parameters using Smart Sensors
  • Linking activity Data to the Game in Real-Time and training AImodel

 

 

Collecting activity data using Cloud Platform:

  • Collecting Measurement Data on Cloud for Remote Monitoring

 

Enabling Remote Monitoring of Patients’ Progress using Smart Technology

  • Remote Monitoring, Studying Trends through Data Visualisation AI

 

Overall System Design

 

 

Certification

 

There will be an assessment at the end of the course and participants will be awarded with a Certificate of Performance upon attempting the assessment and upon meeting 75% of the required course attendance.


For more information on course fee / schedule, or to apply,

Lecturer/Trainer Profile

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Course Contact

  • 67881212
  • Monday - Thursday: 8:30am - 6:00pm
    Friday: 8:30am - 5:30pm
     
    Closed during lunchtime, 12:00pm - 1:00pm
    and on weekends and public holidays.

  • https://www.tp.edu.sg/tsa
  • Temasek SkillsFuture Academy (TSA)
    Temasek Polytechnic
    East Wing, Block 1A, Level 3, Unit 109
    21 Tampines Ave 1
    Singapore 529757

     

  • Temasek Polytechnic reserves the right to alter the course, modify the scale of fee, amend any other information or cancel a course with low enrolment.