FITT is a healthcare data platform that uses three different kinds of exercise tests—cardiorespiratory, posture and muscle strength—to provide exercise programs that are tailored to a user's results. On the platform, the tests are compared to other users of the same and gender, which means that the data-fueled app has the potential to predict diseases and help with the prevention of everything from cancer to heart attacks and diabetes.
With FITT, users are able to see where they stand as compared to others in comparable brackets, which may help with motivating them to invest more in their health and well-being.
FITT is one of the C-Lab Outside startups that Samsung will be showcasing alongside its C-Lab Inside projects at CES 2020.
Personalized Exercise Apps
FITT's Healthcare Data Platform Matches Users to Custom Activities
Trend Themes
1. Personalized Exercise Programs - FITT's healthcare data platform matches users to custom activities based on cardiorespiratory, posture, and muscle strength tests, offering opportunities for personalized fitness innovations.
2. Data-driven Disease Prevention - The data-fueled app has the potential to predict and help prevent various diseases, such as cancer, heart attacks, and diabetes, creating opportunities for innovative healthcare solutions.
3. Motivation Through Comparison - FITT allows users to compare their test results to others in comparable brackets, providing motivation for investing in their health and well-being, which could lead to new approaches in fitness motivation.
Industry Implications
1. Healthcare Technology - FITT's healthcare data platform presents disruptive opportunities for personalized exercise and disease prevention within the healthcare technology industry.
2. Fitness and Wellness - The personalized exercise programs and motivation features within FITT's platform offer disruptive innovation opportunities in the fitness and wellness industry.
3. Data Analytics - The use of data analytics in FITT's healthcare data platform opens up opportunities for disruptive innovation in the data analytics industry, particularly in the field of healthcare.