Wearable technology has become increasingly integrated into our daily lives. These devices gather useful information related to health and exercise patterns of their wearers. Currently, common wearables provide real-time statistics and a history of exercising metrics. There are applications that analyse these collected data and report back to the users on their achievements. However, most existing applications only perform as health monitors rather than as a training advisor who actively improves the physical status of the users, such as the roles of a personal trainer. This project aims at investigating the applications in this domain and providing an artificial intelligence solution to the information collected by modern wearable devices. The outcome will be an "AI Personal Trainer" that provides the user with both real-time and long-term training advices, such as exercise plans that intelligently tailored to the individuals using their unique exercise metrics.
Undergraduate
1) Research and understand the drawbacks of current exercise applications that use wearable devices to develop a better application experience.
2) Investigate AI/Machine Learning techniques that can utilise research in exercise physiology to provide exercise plans, routes, and real-time training advices similar to a personal coach.
3) Develop a mobile and Internet based software application that realises the proposed solution, and conduct evaluations on the prototype system.
None
Lab allocations have not been finalised