Innovations for physical fitness through AI
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Two new AI technologies that support physical fitness for students and teachers have been developed by the Centre for Intelligent Multidimensional Data Analysis (CIMDA) at City University of Hong Kong (CityU).
CIMDA is a world-class research centre established under the InnoHK programme funded by the Innovation and Technology Commission (ITC).
Sports Activity Assessment and AI Runner Track, which are affordable and easy to set up, provide students with an immersive digital experience and make it easier for teachers to monitor progress accurately.
For the first innovation, Sports Activity Assessment, which is a runner simulation system, users only need to wear a small and lightweight ankle-band for warm-up exercises simulated as a racing game with five modes: skipping, star jump, high knee run, push-ups and sit-ups. The gamification of the warm-up exercises can boost student motivation and overall physical performance as the quality and speed of their warm-up directly influence performance in the racing game.
The other innovation is AI Runner Track, a runner assessment system gamified with racing elements but with a heavier focus on monitoring time and speed. A tag that users attach to their vests while running will be automatically detected by cameras along a running track. The system can accurately capture the running time and speed in real-time of a large group of users, even ranking them from fastest to slowest.
“Our objective is to introduce new technologies into the PE curriculum to support teachers on tedious and lengthy evaluation work with quicker and more accurate solutions while also giving students the benefit of a more fun and efficient PE lesson overall,” said Professor Yan Hong, Director of CIMDA and Wong Chun Hong Professor of Data Engineering.
The systems can be used at schools and any sports institutions that hope to introduce technology to aid physical training for groups of over 35 people and,…