Wellness monitoring by measurement of incidental routine

A non-transitory computer-readable medium, in which is embedded computer-readable code, that, when loaded on a computer, causes the computer to perform the steps of:

• receiving, via a plurality of sensors, first activity data for a first time period associated with an individual, wherein the first activity data includes event data corresponding to a plurality of events;
• based on the first activity data, determining a routine associated with the individual during the first time period;
• receiving, via the plurality of sensors, second activity data for a second time period associated with the individual, wherein the second activity data includes event data corresponding to the plurality of events, wherein the event data associated with the first activity data comprises a first order in which each of the events-in the plurality of events occurred with respect to each other during the first time period, wherein the event data associated with the second activity data comprises a second order in which each of the events in the plurality of events occurred with respect to each other during the second time period;
• based on the second activity data, identifying whether at least one abnormal deviation exists between the first order and the second order during the second time period by:
• determining whether the second order is different than the first order;
• and
• in response to identifying the at least one abnormal deviation exists between the first order and the second order during the second time period, transmitting a notification indicating the presence of the abnormal deviation.

A system, comprising:

• a plurality of sensors;
• a processor, communicatively coupled to the plurality of sensors;
• and
• a memory having stored therein a plurality of code sections executable by the processor, the plurality of code comprising instructions for:
• receiving, via a plurality of sensors, first activity data for a first time period associated with an individual, wherein the first activity data includes event data corresponding to a plurality of events;
• based on the first activity data, determining a routine associated with the individual during the first time period;
• receiving, via the plurality of sensors, second activity data for a second time period associated with the individual, wherein the second activity data includes event data corresponding to the plurality of events, wherein the event data associated with the first activity data comprises a first order in which each of the events in the plurality of events occurred with respect to each other during the first time period, wherein the event data associated with the second activity data comprises a second order in which each of the events in the plurality of events occurred with respect to each other during the second time period, wherein the first time period and second time period do not overlap, wherein the event data comprises a relative importance for each of the plurality of events;
• based on the second activity data, identifying whether at least one abnormal deviation exists between the first order and the second order during the second time period by:
• determining whether the second order is different than the first order;
• and
• in response to identifying the at least one abnormal deviation exists between the first order and the second order during the second time period, transmitting a notification indicating the presence of the abnormal deviation.