STREAMLINING INPUT OF EXERCISE AND NUTRITION LOGIC USING GEOGRAPHIC INFORMATION
Streamlining input of exercise and nutrition logic. Identifying, for a user location, likely activities by the user, and nutrition or exercise information for those activities. Presenting most likely activities to the user, soliciting user input regarding activities. Updating probable future user activities in response to user input and menus of possible activities. Initially, presenting most likely activities when: most likely to occur at that location, most recently occurring at that location, most likely occurring for similar users, most likely occurring for users having similar preferences in other contexts. On a timeout, selecting activities on behalf of the user, deselecting activities, or adjusting the user's reliability.
1 . A method, including steps of
receiving location information associated with a user;
determining one or more activities associated with said location information;
identifying a subset of said activities, said subset considered more likely with respect to said user;
requesting said user to select one or more of said activities from said subset, said steps of requesting preferring activities from said subset over activities not from said subset.
2 . A method as in claim 1 , including steps of
associating medical information with at least one of said activities, said medical information including information relating to one or more of:
alcohol use, tobacco use, sleep, stress and resiliency, back strain, back pain, diabetes, pre-diabetic conditions, weight loss, nutrition, exercise.
3 . A method as in claim 1 , including steps of
updating said subset in response to a change in said activities associated with said location information.
4 . A method as in claim 1 , including steps of
updating a database of user activities in response to an answer to said request.
5 . A method as in claim 4 , wherein
said steps of updating a database include steps of updating said subset.
6 . A method as in claim 1 , wherein
said steps of receiving location information include steps of
associating a mobile device with said user;
receiving said location information from said mobile device.
7 . A method as in claim 1 , wherein
said steps of determining one or more activities include steps of
determining enterprise information associated with said location information;
determining said activities in response to said enterprise information.
8 . A method as in claim 7 , including steps of
updating said subset in response to said enterprise information.
9 . A method as in claim 7 , including steps of
determining if said user has already visited at least one of said enterprises associated with said location information;
when said user has not already visited at least one of said enterprises, requesting said user to identify a preferred one or more of said activities associated with said location information.
10 . A method as in claim 9 , wherein
said steps of identifying a subset of said activities include steps of
identifying a first set of characteristics, said first set of characteristics relating to said user;
identifying a second set of characteristics, said second set of characteristics being similar to said first set of characteristics;
including in said subset activities from a construct relating to said second set of characteristics.
11 . A method as in claim 9 , wherein
said steps of identifying a subset of said activities include steps of
identifying a set of characteristics for said user;
including in said subset activities relating to said set of characteristics.
12 . A method as in claim 9 , wherein
said steps of identifying a subset of said activities include one or more of:
including in said subset one or more events most likely to occur at that enterprise or location;
including in said subset one or more events recently occurring at that enterprise or location;
including in said subset said preferred one or more of said activities.
13 . A method as in claim 9 , wherein
said steps of identifying a subset of said activities include steps of
identifying a set of characteristics for said user;
including in said subset activities from a second user having a similar set of characteristics.
14 . A method as in claim 13 , wherein
said characteristics include one or more of: demographic information, medical information.
15 . A method as in claim 13 , wherein
said second user includes a statistical construct of characteristics.
16 . A method as in claim 7 , wherein
said steps of determining enterprise information are responsive to a database of known enterprises, said database including one or more of: locations; hours of operation; and
said steps of determining enterprise information are responsive to one or more of: a time of day, a day of the week, one or more recent activities by said user.
17 . A method as in claim 16 , wherein
said input values from said user include one or more of: keywords, tags, selections in a hierarchy of possible enterprises.
18 . A method as in claim 16 , wherein
said locations include one or more virtual locations, said virtual locations being associated with one or more known codes; and
said steps of determining enterprise information are responsive to reading said one or more known codes.
19 . A method as in claim 16 , wherein
said steps of determining are responsive to one or more input values from said user.
20 . A method as in claim 1 , wherein
said steps of requesting include a timeout duration.
21 . A method as in claim 20 , including, in response to said timeout duration, one or more of:
steps of aborting said steps of requesting;
steps of selecting one or more of said activities on behalf of said user;
steps of updating a reliability associated with said user.