Artificial Intelligence for Swimmer Safety and Performance Analysis System (Smart Swim)

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Grant Data
Project Title
Artificial Intelligence for Swimmer Safety and Performance Analysis System (Smart Swim)
Principal Investigator
Dr Fok, Wilton Wai Tung   (Project Coordinator (PC))
Co-Investigator(s)
Mr Au Yeung Hoi Hang   (Co-Investigator)
Professor Chan Ping Hung   (Co-Investigator)
Dr Wong Lui King Shan   (Co-Investigator)
Duration
36
Start Date
2019-06-01
Completion Date
2022-05-31
Amount
4344608
Conference Title
Artificial Intelligence for Swimmer Safety and Performance Analysis System (Smart Swim)
Keywords
Artificial Intelligence, Performance Analysis System, Smart Swim, Swimmer Safety
Discipline
Others - Electrical and Electronic EngineeringOthers - Education
Panel
Engineering (E)
HKU Project Code
ITB/FBL/C069/18/P
Grant Type
Innovation and Technology Fund for Better Living (FBL)
Funding Year
2019
Status
Completed
Objectives
a) To develop a system that outline the skeleton of the swimmers and detect the drowning in order to assist the safeguards to improve the safety of the pool. b) To provide posture motion data to facilitate the coach to analyze the swimmers’ performance. c) To develop new algorithm to auto-analyze the swimmer performance and give intelligent recommendations through the use of big data and deep learning to build the model of good swimmer. d) To collect a series of swimming motion data and process them into motion vector and share these research data through the project web for the AI research community to do further development. e) To implement the technology in the swimming pools of two pilot schools and extend he coverage to other schools and public pools.