Types of Data we Collect
Fitness data provides insight into user’s activities that are undertaken while exercising. These activities have a defined duration, time, distance, calories, elevation, etc. Activities include running, biking, walking, swimming, elliptical, rowing, skating, and so on.
Routine data provides insight into user’s activities that occur regularly throughout the day, without the specific goal of exercising. These activities are able to provide a regular and daily aggregate of calories burned, distance traveled, water consumed, steps taken, stairs climbed, and so on.
Weight data provides insight into a user’s weight, height, and body mass measurements. Detailed values include fat percentage, BMI, free mass, and so on.
Biometric data provides insight into a user’s vitals data taken routinely or situationally. These measurements provide insights into a person’s blood pressure, cholesterol, heart rate, blood and hormone levels, and so on.
Diabetes data provides insight into a user’s vitals specifically related to the treatment and management of Diabetes. These measurements provide insight into a person’s blood glucose and hormone levels, including hbac1, insulin, triglyceride, c peptide, and so on.
Nutrition data provides insight into a user’s activities related to calorie intake and consumption, as well as ability to meet nutritional needs with diet. Details include the amount of carbohydrates, fat, protein, sodium, water, and fiber consumed by a person, as well as the meal name.cididunt ut labore et dolore magna aliqua. Ut enim ad minim veniam, quis nostrud exercitation ullamco laboris nisi ut aliquip ex ea commodo consequat.
Sleep data provides insight into measurements related to the length of time spent in various sleep cycles, as well as the number of times a person wakes during the night. Total sleep, REM sleep, deep sleep and other values are included in the data delivered to provide sleep insights.