This proposal seeks to gather continuous blood glucose and physical activity data from individuals with and without diabetes.

This proposal seeks to gather continuous blood glucose and physical activity data from individuals with and without diabetes who are physically active and exercising for health benefits. The investigators hypothesize that insulin requirements will be inversely related to intensity of activity and an algorithm will be able to detect physical activity and automatically adjust insulin doses. Once such an algorithm has been determined for an individual, it can be applied to future similar situations, but ideally the algorithm will be dynamically refined based on closed-loop feedback information.

Inclusion Criteria:

• Inclusion criteria for subjects with diabetes
• Type 1 diabetes or insulin requiring type 2 diabetes for at least 1 year
• Use insulin to control diabetes
• Physically active (regularly work out, swim, run, walk, bike, etc.)
• Free of major micro- and macrovascular complications of diabetes
• 18-75 years of age
• A1C < 9.0% Inclusion criteria for subjects without diabetes
• No evidence of diabetes and physically active

Exclusion Criteria:

• unwilling to perform repeated glucose checks or take insulin as instructed
• abnormal thyroid function, kidney function, liver function
• pregnancy

individuals without diabetes and those with type 1 and type 2 diabetes