To improve the capability and quality of monitoring and tracking aquatic rehab processes for meeting the growing demand of aquatic physiotherapy services for aging populations and rehabilitation needs. Project Objectives: 1. To develop a digital aquatic rehab platform to collect underwater rehab motions and their resistance experienced by key body locations for assessing progresses of the course of aquatic physiotherapy. 2. To train a video analytics markerless motion classifier for identifying selected exercise motions. 3. To develop a real-time underwater sensor network with wearable sensor modules using ultrasonic communication. 4. To shorten the waiting time for Public Aquatic Physiotherapy Service. R&D methodology involved: The R&D methodology involves the Markerless Motion Classifier Training R&D (Training Data Preparation and Classifier Training and Evaluation); Underwater Sensor Network System R&D (Underwater Wearable Sensor Module and Ultrasonic Data Communication Protocol), Motion Data Analysis Module (Portable Aquatic Video Capture System, Motion Classification Module, Drag Force Estimation using CFD Module), Portable Sensor Data Collection Module (Portable Underwater Sensor Network System, Sensor Data Collection Module). Impact and Benefits: The development of a Smart Aquatic Rehab Platform represents a significant leap forward in rehabilitation technology, offering numerous benefits for patients, healthcare providers, and the field of rehabilitation as a whole. By harnessing the therapeutic potential of water and combining it with the precision and adaptability of smart technology, such platform has the potential to transform aquatic rehabilitation practices, making them more effective, accessible, and personalized than ever before.