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

  • To develop an artificial intelligence system (AI) to analyse swimmers’ posture for drowning detection
  • To develop a new algorithm for posture motion data to facilitate coaches to analyse and enhance the swimmers’ performance
  • Website: https://www.eee.hku.hk/~sail/
  • To enhance the safety of swimming pools and the analysis of swimmers’ performance through the use of technologies
  • To foster the artificial intelligence research development for human posture analysis
  • To implement the system in the swimming pools of two pilot schools with an aim to extend the application to other schools and public pools for benefitting more people

Swimmers and athletes

Artificial intelligence, computer vision, human pose estimation algorithm and deep learning

  • Completion of development and deliverable is under refinement
  • Estimated number of target beneficiaries within funding period: 5 000
     

[2020-11-06]

Project Title
Application No.
Organisation
Joint Applicant
Project Period
Grant Approved (HK$)
Deliverable(s)
  • To develop an artificial intelligence system (AI) to analyse swimmers’ posture for drowning detection
  • To develop a new algorithm for posture motion data to facilitate coaches to analyse and enhance the swimmers’ performance
  • Website: https://www.eee.hku.hk/~sail/
Project Coordinator
Tel. No.
Objective
  • To enhance the safety of swimming pools and the analysis of swimmers’ performance through the use of technologies
  • To foster the artificial intelligence research development for human posture analysis
  • To implement the system in the swimming pools of two pilot schools with an aim to extend the application to other schools and public pools for benefitting more people
Target Beneficiaries

Swimmers and athletes

Application of I&T

Artificial intelligence, computer vision, human pose estimation algorithm and deep learning

Progress
  • Completion of development and deliverable is under refinement
  • Estimated number of target beneficiaries within funding period: 5 000
     

[2020-11-06]