Wearable-Based Consumer Activity Tracking for Eating & Retail
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.
An Intelligent (Machine Learning) AI Platform for Health and Fitness
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.