AI-driven Rehabilitation Training with Wearable Sensors

I&T Wish AI-driven Rehabilitation Training with Wearable Sensors
(REF: W-0477)
Matched I&T Solution
Trial Project
Summary and Challenges Although there are standardized assessment tools for traditional elderly rehabilitation program plan, however it often also rely on therapist’s clinical experience and opinions which may making evaluate differentiation in between different therapists. Also, most rehabilitation assessment guideline are based on western countries environment and population which may inadequate for specific Asian patients. This may lead to difficulty in evaluating the overall health status of patients and their rehabilitation progress over time.
Expected Outcome Deploy AI-driven rehabilitation training with wearable sensors
Requirements:
  • develop AI-driven training modules with wearable and real-time sensor to track, collect and interpret elderly’s movement data, use those data to analyse elderly’s rehabilitation performance and provide recommendation on rehabilitation exercise
  • develop mobile application to provide real-time guidance on user specific rehabilitation training modules and provide dashboard scores on recording quality of performance / achievement
  • provide therapist with more analysed data and allow remote data access for real-time clinical evaluation
Expected Trial Duration 9-month
Contact Information
I&T Wish Proposer:Electrical and Mechanical Services Department (EMSD)
Contact Person:TSANG Wa Sing
Position:Project Officer/Innovation/4
Tel:3528 6368
Email: wstang@emsd.gov.hk
Upload Date 2023-06-19
Closing Date 2023-07-03