Baselining user profiles from portable device information

A device, comprising:

• a first memory device to store information;
• and
• a processing device coupled to the first memory device, wherein the processing device is configured to:
• receive profile information for a user at a first point in time;
• generate a user profile based on the profile information;
• query a set of baseline profiles stored at the first memory device or a second memory device to determine whether the set of baseline profiles includes a first baseline profile that matches the profile information of the user within a threshold matching level;
• in response to the set of baseline profiles not including the first baseline profile that matches the profile information of the user within the threshold matching level, receive updated profile information for the user at a second point in time indicative of the user profile for the user changing over a second period of time;
• query the set of baseline profiles stored at the first memory device or the second memory device to determine whether the set of baseline profiles includes a second baseline profile that matches the updated profile information of the user within the threshold matching level;
• in response to the set of baseline profiles not include the second baseline profile that matches the updated profile information of the user within the threshold matching level, iteratively update the updated profile information of the user and query the set of baseline profiles until a matching baseline profile of the set of baseline profiles matches the updated profile information of the user within the threshold matching level;
• and
• set a baseline profile for the user for a physiological parameter of the user based on the matching baseline profile.

A device, comprising:

• a sensor configured to:
• take a first physiological measurement and a second physiological measurement from a body of a user at a first point in time;
• and
• take a third physiological measurement and a fourth physiological measurement from the body of the user at a second point in time;
• and
• a memory device to store information;
• and
• a processing device coupled to the memory device and the sensor, wherein the processing device is configured to:
• receive the first physiological measurement and the second physiological measurement from the sensor;
• determine a first correlation between the first physiological measurement and the second physiological measurement indicative of the user being involved in a physical activity at a third point in time;
• and
• predict when the user will be involved in the physical activity prior to the user engaging in the physical activity at a fourth point, wherein the prediction is based on a second correlation between the third physiological measurement and the fourth physiological measurement being within a threshold range of similarity to the first correlation.

A processing device, comprising a non-transitory memory for storage of data and instructions, that when executed, cause the processing device to:

• receive a first set of profile data for a user indicative of information for the user over a first period of time;
• dynamically weight data of the first set of profile data for the user based on a change of one or more characteristics of the user changing over the first period of time;
• generate a user profile associated with the user based on the weighted data of the first set of profile data;
• identify a set of baseline profiles stored at the non-transitory memory or another non-transitory memory;
• match the user profile to a first most-similar baseline profile from among the set of baseline profiles;
• set a baseline for measurements of a physiological parameter of the user based on the first most-similar baseline profile;
• receive a second set of profile data indicative of one or more characteristics of the user changing over a second period of time;
• generate an updated user profile for the user based on the second set of profile data;
• match the updated user profile to a new most-similar baseline profile from among the set of baseline profiles, wherein new most-similar baseline profile is most-similar to the updated user profile in view of the change to the user profile over the second period of time;
• and
• adjust the baseline for measurements of the physiological parameter of the user based on the new most-similar baseline profile.