There are inherent risks and challenges involved in performing free-weights exercise without proper supervision. This lack of real-time feedback and guidance leaves room for potential mistakes that can lead to injuries or diminish the effectiveness of the workout. Hence, there is a need for a reliable and accessible solution that can provide instant feedback and corrective guidance to individuals performing free-weights exercises, ensuring their safety, and optimizing the results they achieve.
With increasing attention on healthy eating habits, there is still a lack of tools to motivate, personalise and provide timely support to those who need it in the general population. Personalized guidance considers preferences and dietary restrictions for long-term adherence as well as helping to prevent diet-related diseases. With more personalized and timely support, it can motivate individuals to sustain healthy eating habits.
Fine-grained and personalized monitoring of gym exercises is essential for users to track their progress, improve their routines, and prevent injuries. There is a need for a cost-effective and unobtrusive technology that provides accurate insights into multiple aspects of gym exercise behavior.
Researchers in healthcare and retail domains face challenges in capturing and analyzing personalized lifestyle data. Existing approaches require manual effort or extensive infrastructure deployment, resulting in inefficiency and privacy concerns. There is a need for a technology that reduces human effort and privacy concerns while capturing and analyzing personalized lifestyle data.
Obesity rates have tripled since 1975 and are projected to reach 15% of the global and Singaporean population by 2024. Existing health and fitness apps have limitations, failing to make a long-term difference for users. Customers often opt out due to data input requirements, lack of personalization, and the non-motivating nature of the apps.