Prof. Andrew Campbell says he can use fitness trackers, smartphones to accurately distinguish high performers from low performers. The data collected is sent to a cloud-based server and analyzed by machine-learning algorithms. The application uses the sensors in the smartphone to track peoples behavior, location, light levels, physical activity and physical activity. The fitness bracelet collects information on heart functions, sleep, stress, weight and number of calories burned. The results were 80 percent accurate, according to the Dartmouth College study.”]