Systems and methods of using wireless location, context, and/or one or more communication networks for monitoring for, preempting, and/or mitigating pre-identified behavior

A method for monitoring for and preempting pre-identified behavior(s) of one or more pre-identified persons, the method comprising:

• determining behavior(s) of at least one of the one or more pre-identified persons and context(s) associated with the behavior(s) of the at least one of the one or more pre-identified persons via a plurality of measurements/readings automatically taken by a plurality of different devices, sensors, sensor arrays, and/or communications networks without requiring the at least one of the one or more pre-identified persons to take the plurality of measurements/readings;
• assessing, evaluating, and predicting a risk of a future occurrence(s) of a pre-identified addiction-related behavior(s) and associated context(s) by the at least one of the one or more pre-identified persons;
• facilitating one or more pre-identified actions and/or activities to preempt and/or lower the risk of a future occurrence(s) of the pre-identified addiction-related behavior(s) by the at least one of the one or more pre-identified persons;
• wherein the method includes determining whether any of one or more addiction triggers are active or present by comparing one or more settings for the at least one of the one or more pre-identified persons with data collected from one or more of the plurality of different devices, sensors, sensor arrays, and/or communications networks without requiring the at least one of the one or more pre-identified persons to actively participate in the data collection process by the one or more of the plurality of different devices, sensors, sensor arrays, and/or communications networks;
• and
• wherein the one or more settings for the at least one of the one or more pre-identified persons include one or more of blood pressure, heart rate, skin temperature, body temperature, respiratory rate, perspiration, weight, exercise schedule, external temperature, noise levels/loudness, and/or noise types/frequency(ies);
• and/or wherein the plurality of different devices, sensors, sensor arrays, and/or communications networks comprise one or more biometric, environmental, and/or behavioral sensors that provide biometric, environmental, and/or behavioral data for the at least one of the one or more pre-identified persons usable in determining whether any of the one or more addiction triggers are active or present before a relapse by the at least one of the one or more pre-identified persons in partaking and/or exposure to the addiction and/or without requiring the at least one of the one or more pre-identified persons to actively participate in the collection process of the biometric, environmental, and/or behavioral data by the one or more biometric, environmental, and/or behavioral sensors;
• and
• wherein the method includes receiving and processing feedback and adjusting the plurality of different devices, sensors, sensor arrays, and/or communications networks including modifying one or more of the settings and increasing or decreasing a frequency of data collection in response to the feedback including actions, contexts, and behaviors of the at least one of the one or more pre-identified persons associated with the data.

A non-transitory computer-readable storage media comprising computer-executable instructions for monitoring for and preempting pre-identified behavior(s) of one or more pre-identified persons, which when executed by at least one processor, cause the at least one processor to:

• determine behavior(s) of at least one of the one or more pre-identified persons and context(s) associated with the behavior(s) of the at least one of the one or more pre-identified persons via a plurality of measurements/readings taken by a plurality of different devices, sensors, sensor arrays, and/or communications networks without requiring the at least one of the one or more pre-identified persons to take the plurality of measurements/readings;
• based on the determination and historical location-based data for the one or more pre-identified persons, assess, evaluate, and predict a risk of a future occurrence(s) of a pre-identified behavior(s) and associated context(s) by the at least one of the one or more pre-identified persons;
• facilitate one or more pre-identified actions and/or activities to preempt and/or lower the risk of the future occurrence(s) of the pre-identified behavior(s) by the at least one of the one or more pre-identified persons;
• determine whether any of one or more addiction triggers are active or present by comparing one or more settings for the at least one of the one or more pre-identified persons with data collected from one or more of the plurality of different devices, sensors, sensor arrays, and/or communications networks without requiring the at least one of the one or more pre-identified persons to actively participate in the data collection process by the one or more of the plurality of different devices, sensors, sensor arrays, and/or communications networks;
• and
• receive and process feedback and adjust the plurality of different devices, sensors, sensor arrays, and/or communications networks including modifying one or more of the settings and increasing or decreasing a frequency of data collection in response to the feedback including actions, contexts, and behaviors of the at least one of the one or more pre-identified persons associated with the data;
• wherein the one or more settings for the at least one of the one or more pre-identified persons include one or more of blood pressure, heart rate, skin temperature, body temperature, respiratory rate, perspiration, weight, exercise schedule, external temperature, noise levels/loudness, and/or noise types/frequency(ies);
• and/or wherein the plurality of different devices, sensors, sensor arrays, and/or communications networks comprise one or more biometric, environmental, and/or behavioral sensors that provide biometric, environmental, and/or behavioral data for the at least one of the one or more pre-identified persons usable in determining whether any of the one or more addiction triggers are active or present before a relapse by the at least one of the one or more pre-identified persons in partaking and/or exposure to the addiction and/or without requiring the at least one of the one or more pre-identified persons to actively participate in the collection process of the biometric, environmental, and/or behavioral data by the one or more biometric, environmental, and/or behavioral sensors.