Innovation and Technology Fund for Better Living
Item 0 to 0 out of 0 record(s)
Show entry(ies) per page
 

Approved Projects - Innovation and Technology Fund for Better Living (FBL)

  • To develop a mobile application incorporating artificial intelligence (AI), computer vision and deep learning technologies for stroke patients to perform rehabilitation exercises at home and monitor the correctness of their motion and posture. A multi-disciplinary team comprising engineers, stroke neurologists, physiotherapists and occupational therapists to develop a human posture model for a set of “gold standard” rehabilitation exercises to stroke patients with different levels of impairment
  • To develop a web portal for therapists and physicians to monitor patients’ recovery progress and conduct remote diagnosis
     
  • To allow therapists and physicians to prescribe personalised and home-based rehabilitation programmes for stroke patients according to their stroke severity; and monitor the progress of individual patients so as to maximise the recovery rates
  • To measure patients’ biometric data such as temperature and pulse rate through smart wearables to facilitate physician’s diagnosis
     

Stroke patients

Artificial intelligence, computer vision and deep learning technologies

  • Project is scheduled for roll-out in 2022
  • Estimated number of target beneficiaries within funding period: 700 stroke patients ; Estimated number of download counts: 10 000

[2022-04-11]

Project Title
Application No.
Organisation
Joint Applicant
Project Period
Grant Approved (HK$)
Deliverable(s)
  • To develop a mobile application incorporating artificial intelligence (AI), computer vision and deep learning technologies for stroke patients to perform rehabilitation exercises at home and monitor the correctness of their motion and posture. A multi-disciplinary team comprising engineers, stroke neurologists, physiotherapists and occupational therapists to develop a human posture model for a set of “gold standard” rehabilitation exercises to stroke patients with different levels of impairment
  • To develop a web portal for therapists and physicians to monitor patients’ recovery progress and conduct remote diagnosis
     
Project Coordinator
Tel. No.
Objective
  • To allow therapists and physicians to prescribe personalised and home-based rehabilitation programmes for stroke patients according to their stroke severity; and monitor the progress of individual patients so as to maximise the recovery rates
  • To measure patients’ biometric data such as temperature and pulse rate through smart wearables to facilitate physician’s diagnosis
     
Target Beneficiaries

Stroke patients

Application of I&T

Artificial intelligence, computer vision and deep learning technologies

Progress
  • Project is scheduled for roll-out in 2022
  • Estimated number of target beneficiaries within funding period: 700 stroke patients ; Estimated number of download counts: 10 000

[2022-04-11]