SYSTEM AND METHOD FOR ANALYZING USE OF A WEARABLE DEVICE

1 . A computer-implemented method comprising:

receiving, by a processor, first use data associated with use of at least one wearable device by a user, wherein the first use data comprises data generated from one or more sensors of the at least one wearable device;

computing, by the processor, a first use metric associated with the user based on the first use data;

comparing the first use metric to a first threshold metric;

based on the comparing, updating a user score by a first score amount;

computing a second score amount and a second threshold metric; and

providing, by the processor, a first indication of the user score, the second threshold metric, and the second score amount on a display device.

2 . The method of claim 1 , further comprising;

receiving, by the processor, second use data generated by use of the at least one wearable device following receipt of the first indication;

computing, by the processor, a second use metric associated with the user based on the second data;

comparing the second use metric to the second threshold metric; and

when the second use metric satisfies the second threshold metric, updating the user score by the second score amount.

3 . The method of claim 2 , further comprising modifying, by the processor, the second threshold metric in response to computing the second use metric.

4 . The method of claim 2 , further comprising modifying, by the processor, the second threshold metric based on multiple use metrics associated with multiple users.

5 . The method of claim 3 , wherein modifying, by the processor, the second threshold metric comprises using a machine learning model.

6 . The method of claim 3 , further comprising providing to the user, by the processor, a second indication on the display device, wherein the second indication is based on the second use metric and the second threshold metric as modified.

7 . The method of claim 1 , wherein the first threshold metric and the second threshold metric are calibrated to reduce risk factors associated with development of a diabetic foot ulcer.

8 . The method of claim 1 , wherein the second threshold metric includes one of a health metric and a user-specific criterion.

9 . The method of claim 1 , further comprising computing a risk of disengagement for the user, and wherein the computing the second threshold metric is based on the risk of disengagement.

10 . The method of claim 1 , further comprising:

receiving, by the processor, a healthcare assessment for the user for a time period associated with use of the at least one wearable device; and

modifying, by the processor, the second threshold metric in response to the input and based on at least one of the first use metric and the second use metric.

11 . The method of claim 1 , wherein the first use data indicates one or more of a duration of wear of the at least one wearable device by the user, a number of consecutive or non-consecutive days of use of the at least one wearable device by the user, a duration of wear of the at least one wearable device by the user within a predetermined time interval, a response of the user to one or more alerts provided by the at least one wearable device, a response of the user to one or more indications provided by the processor, an activity level of the user, an interaction level of the user with a digital platform associated with the at least one wearable device, a use level of a wireless charger for the at least one wearable device by the user, and a care level of the at least one wearable device by the user.

12 . A wearable monitoring system comprising:

at least one wearable device comprising one or more sensors; and

a computing device comprising a processor, a memory, and a display device, wherein the processor is configured to:

receive first use data, the first use data associated with use of at least one wearable device by a user, wherein the first use data comprises data generated from the one or more sensors of the at least one wearable device;

compute a first use metric associated with the user based on the first use data;

compare the first use metric to a first threshold metric;

based on the comparing, update a user score by a first score amount;

compute a second score amount and a second threshold metric; and

provide a first indication of the user score, the second threshold metric, and the second score amount on the display device.

13 . The wearable monitoring system of claim 12 , wherein the processor is further configured to:

receive second use data generated by use of the at least one wearable device following receipt of the first indication;

compute a second use metric associated with the user based on the second data;

compare the second use metric to the second threshold metric; and

when the second use metric satisfies the second threshold metric, update the user score by the second score amount.

14 . The wearable monitoring system of claim 13 , wherein the processor is further configured to modify the second threshold metric in response to computing the second use metric.

15 . The wearable monitoring system of claim 12 , wherein the at least one wearable device is a sensorized insole.

16 . The wearable monitoring system of claim 12 , wherein the first threshold metric and the second threshold metric are calibrated to reduce risk factors associated with development of a diabetic foot ulcer.

17 . The wearable monitoring system of claim 12 , wherein the processor is further configured to compute a risk of disengagement for the user, and wherein the computing the second threshold metric is based on the risk of disengagement.

18 . The wearable monitoring system of claim 13 , wherein the first indication includes at least one of the first use metric, and the second use metric.

19 . The wearable monitoring system of claim 12 , wherein the one or more sensors of the at least one wearable device includes at least one of a force sensor and a temperature sensor.

20 . A wearable monitoring system comprising:

at least one wearable device comprising one or more sensors; and

a computing device comprising a processor, a memory, and a display device, wherein the processor is configured to:

receive sensor data and use data, the sensor data and the use data associated with use of the at least one wearable device by a user, wherein the sensor data and the use data comprise data generated from the one or more sensors of the at least one wearable device;

generate monitoring data, the monitoring data generated from monitoring the sensor data and the use data of the at least one wearable device of the user;

compare a numeric value of a day of a specified period to a numeric value of a predefined day of the specified period;

compute a use metric based on the sensor data or the use data or a monitoring metric based on the monitoring data, if the numeric value of the day of the specified period is greater than or equal to the numeric value of the predefined day of the specified period;

compare the use metric or the monitoring metric to a threshold metric;

determine whether the use metric or the monitoring metric satisfies a threshold requirement of the threshold metric; and

generate an alert on the display device if the use metric or the monitoring metric does not satisfy the threshold requirement.