Gesture-based detection of a physical behavior event based on gesture sensor data and supplemental information from at least one external source

1. An automated medication dosing and dispensing system comprising:

gesture sensors to detect physical movement of a user of the automated medication dosing and dispensing system;

computer-readable storage media comprising program code instructions; and

at least one processor, wherein the program code instructions are configurable to cause the at least one processor to perform a method comprising the steps of:

detecting, based on analysis of gesture sensor readings obtained from the gesture sensors, an occurrence of a gesture-based physical behavior event;

calculating an initial confidence level for the detected occurrence of the gesture-based physical behavior event, wherein the initial confidence level represents an initial probability that the occurrence of the gesture-based physical behavior event was correctly detected;

deriving a final confidence level, for the detected occurrence of the gesture-based physical behavior event, from the initial confidence level and from external information obtained from at least one source of data that is distinct from the gesture sensors, wherein the final confidence level represents a final probability that the occurrence of the gesture-based physical behavior event was correctly detected; and

adjusting medication dosage, medication dispensing parameters, or both medication dosage and medication dispensing parameters of the automated medication dosing and dispensing system in response to the detected occurrence of the gesture-based physical behavior event and the final confidence level.

2. The system of claim 1 , wherein:

the at least one source of data comprises an ancillary event detection system that is physically distinct from the gesture sensors;

the ancillary event detection system comprises at least one component to generate user status information that is not directly related to user gestures; and

the external information comprises the user status information.

3. The system of claim 1 , wherein:

the at least one source of data comprises a measurement sensor that generates sensor data indicative of a physiological characteristic of the user;

the external information comprises the sensor data; and

the medication dosage or the medication dispensing parameters are determined based on the sensor data.

4. The system of claim 3 , wherein the measurement sensor comprises a continuous glucose monitor.

5. The system of claim 1 , wherein:

the at least one source of data comprises a prediction system to predict future occurrences of gesture-based physical behavior events; and

the external information comprises predictive information generated by the prediction system, the predictive information describing, characterizing, or defining a predicted future occurrence of a gesture-based physical behavior event.

6. The system of claim 1 , wherein:

the detected occurrence of the gesture-based physical behavior event corresponds to a food intake event;

the medication managed by the system is insulin; and

the adjusting step calculates a dosage of insulin to be administered.

7. A method of operating an automated medication dosing and dispensing system having gesture sensors that detect physical movement of a user, the method comprising the steps of:

obtaining gesture sensor readings from the gesture sensors;

detecting, based on analysis of the obtained gesture sensor readings, an occurrence of a gesture-based physical behavior event;

calculating an initial confidence level for the detected occurrence of the gesture-based physical behavior event, wherein the initial confidence level represents an initial probability that the occurrence of the gesture-based physical behavior event was correctly detected;

deriving a final confidence level, for the detected occurrence of the gesture-based physical behavior event, from the initial confidence level and external information obtained from at least one source of data that is distinct from the gesture sensors, wherein the final confidence level represents a final probability that the occurrence of the gesture-based physical behavior event was correctly detected; and

adjusting medication dosage, medication dispensing parameters, or both medication dosage and medication dispensing parameters of the automated medication dosing and dispensing system in response to the detected occurrence of the gesture-based physical behavior event and the final confidence level.

8. The method of claim 7 , wherein:

the at least one source of data comprises an ancillary event detection system that is physically distinct from the gesture sensors;

the ancillary event detection system comprises at least one component to generate user status information that is not directly related to user gestures; and

the external information comprises the user status information.

9. The method of claim 7 , wherein:

the at least one source of data comprises a measurement sensor that generates sensor data indicative of a physiological characteristic of the user; and

the external information comprises the sensor data.

10. The method of claim 7 , wherein:

the at least one source of data comprises a prediction system to predict future occurrences of gesture-based physical behavior events; and

the external information comprises predictive information generated by the prediction system, the predictive information describing, characterizing, or defining a predicted future occurrence of a gesture-based physical behavior event.

11. An automated medication dosing and dispensing system comprising:

gesture sensors to detect physical movement of a user of the automated medication dosing and dispensing system;

computer-readable storage media comprising program code instructions; and

at least one processor, wherein the program code instructions are configurable to cause the at least one processor to perform a method comprising the steps of:

maintaining default event declaration decision criteria for use in determining whether a gesture-based physical behavior event of interest has occurred or is likely to occur;

obtaining gesture sensor readings from the gesture sensors;

deriving final event declaration decision criteria, for use in determining whether the gesture-based physical behavior event of interest has occurred or is likely to occur, from the default event declaration decision criteria and from external information obtained from at least one source of data that is distinct from the gesture sensors;

analyzing the obtained gesture sensor readings to determine whether the final event declaration decision criteria is satisfied;

when the obtained gesture sensor readings satisfy the final event declaration decision criteria, declaring a detection of the gesture-based physical behavior event of interest; and

adjusting medication dosage, medication dispensing parameters, or both medication dosage and medication dispensing parameters in response to the declaring.

12. The system of claim 11 , wherein the deriving step decreases requirements of the default event declaration decision criteria when the external information indicates with high confidence that the gesture-based physical behavior event of interest has occurred, increases requirements of the default event declaration decision criteria when the external information indicates with low confidence that the gesture-based physical behavior event of interest has occurred, or preserves the default event declaration decision criteria when the external information is insufficient to influence the default event declaration decision criteria.

13. The system of claim 11 , wherein:

the at least one source of data comprises an ancillary event detection system that is physically distinct from the gesture sensors;

the ancillary event detection system comprises at least one component to generate user status information that is not directly related to user gestures; and

the external information comprises the user status information.

14. The system of claim 11 , wherein:

the at least one source of data comprises a measurement sensor that generates sensor data indicative of a physiological characteristic of the user; and

the external information comprises the sensor data.

15. The system of claim 14 , wherein the measurement sensor comprises a continuous glucose monitor.

16. The system of claim 11 , wherein:

the at least one source of data comprises a prediction system to predict future occurrences of gesture-based physical behavior events; and

the external information comprises predictive information generated by the prediction system, the predictive information describing, characterizing, or defining a predicted occurrence of a gesture-based physical behavior event.

17. The system of claim 11 , wherein:

the gesture-based physical behavior event of interest corresponds to a food intake event;

the medication managed by the system is insulin; and

the adjusting step calculates a dosage of insulin to be administered.

18. A method of operating an automated medication dosing and dispensing system having gesture sensors that detect physical movement of a user, the method comprising the steps of:

maintaining default event declaration decision criteria for use in determining whether a gesture-based physical behavior event of interest has occurred or is likely to occur;

obtaining gesture sensor readings from the gesture sensors;

deriving final event declaration decision criteria, for use in determining whether the gesture-based physical behavior event of interest has occurred or is likely to occur, from the default event declaration decision criteria and from external information obtained from at least one source of data that is distinct from the gesture sensors;

analyzing the obtained gesture sensor readings to determine whether the final event declaration decision criteria is satisfied;

when the obtained gesture sensor readings satisfy the final event declaration decision criteria, declaring a detection of the gesture-based physical behavior event of interest; and

adjusting medication dosage, medication dispensing parameters, or both medication dosage and medication dispensing parameters in response to the declaring.

19. The method of claim 18 , wherein the deriving step decreases requirements of the default event declaration decision criteria when the external information indicates with high confidence that the gesture-based physical behavior event of interest has occurred, increases requirements of the default event declaration decision criteria when the external information indicates with low confidence that the gesture-based physical behavior event of interest has occurred, or preserves the default event declaration decision criteria when the external information is insufficient to influence the default event declaration decision criteria.

20. The method of claim 18 , wherein:

the gesture-based physical behavior event of interest corresponds to a food intake event;

the medication managed by the system is insulin; and

the adjusting step calculates a dosage of insulin to be administered.