Utilizing a human compound eye using an internet of things (“HCEI”) for obstacle protection of a user

1. A method for enhancing communications for a user by a processor comprised within a computer in communication with one or more Internet of Things (IoT) devices, comprising:

determining one or more objects within an obstacle threshold distance in relation to a user according to data captured from the one or more IoT devices associated with a wound dressing, a mobility assistance device, or a combination thereof; wherein the determining further comprises predicting movement of the one or more objects using data obtained from an obstacle threshold distance map or data obtained in real-time from one or more IoT devices associated with the user; and

alerting the user of the one or more objects within the obstacle threshold distance.

2. The method of claim 1 , further including:

determining a real-time distance of the one or more objects from the user; and

storing the distance of the one or more objects from the user in the obstacle threshold distance map so as to determine the one or more objects within the obstacle threshold distance.

3. The method of claim 1 , further including determining a speed, a velocity, a distance, or a combination thereof of the one or more objects in relation to the user, wherein the determined speed, the velocity, the distance, or a combination thereof are stored in the obstacle threshold distance map.

4. The method of claim 1 , further including identifying the one or more objects via the one or more IoT devices embedded into one or more locations of the wound dressing, the mobility assistance device, or a combination thereof, wherein the one or more IoT devices include one or more types of sensors, media devices, audio devices, or a combination thereof.

5. The method of claim 1 , further including initializing a machine learning mechanism to learn, set, or modify the obstacle threshold distance for each of the one or more objects, parameters in the obstacle threshold distance map, activities of daily living (ADL), movement patterns of the user, or a combination thereof.

6. The method of claim 1 , further including providing one or more alerts, suggestions, communications, or a combination thereof via a graphical user interface to the user so as to modify mobility or a course of action to avoid the one or more objects within the obstacle threshold distance.

7. A system for enhancing communications, comprising:

one or more computers with executable instructions that when executed cause the system to:

determine one or more objects within an obstacle threshold distance in relation to a user according to data captured from one or more Internet of Things (IoT) devices associated with a wound dressing, a mobility assistance device, or a combination thereof; wherein the determining further comprises predicting movement of the one or more objects using data obtained from an obstacle threshold distance map or data obtained in real-time from one or more IoT devices associated with the user; and

alert the user of the one or more objects within the obstacle threshold distance.

8. The system of claim 7 , wherein the executable instructions:

determine a real-time distance of the one or more objects from the user; and

store the distance of the one or more objects from the user in the obstacle threshold distance map so as to determine the one or more objects within the obstacle threshold distance.

9. The system of claim 7 , wherein the executable instructions determine a speed, a velocity, a distance, or a combination thereof of the one or more objects in relation to the user, wherein the determined speed, the velocity, the distance, or a combination thereof are stored in the obstacle threshold distance map.

10. The system of claim 7 , wherein the executable instructions identify the one or more objects via the one or more IoT devices embedded into one or more locations of the wound dressing, the mobility assistance device, or a combination thereof, wherein the one or more IoT devices include one or more types of sensors, media devices, audio devices, or a combination thereof.

11. The system of claim 7 , wherein the executable instructions initialize a machine learning mechanism to learn, set, or modify the obstacle threshold distance for each of the one or more objects, parameters in the obstacle threshold distance map, activities of daily living (ADL), movement patterns of the user, or a combination thereof.

12. The system of claim 7 , wherein the executable instructions provide one or more alerts, suggestions, communications, or a combination thereof via a graphical user interface to the user so as to modify mobility or a course of action to avoid the one or more objects within the obstacle threshold distance.

13. A computer program product for enhancing communications for a user by a processor comprised within a computer in communication with one or more Internet of Things (IoT) devices, the computer program product comprising a non-transitory computer-readable storage medium having computer-readable program code portions stored therein, the computer-readable program code portions comprising:

an executable portion that determines one or more objects within an obstacle threshold distance in relation to a user according to data captured from the one or more IoT devices associated with a wound dressing, a mobility assistance device, or a combination thereof; wherein the determining further comprises predicting movement of the one or more objects using data obtained from an obstacle threshold distance map or data obtained in real-time from one or more IoT devices associated with the user; and

an executable portion that alerts the user of the one or more objects within the obstacle threshold distance.

14. The computer program product of claim 13 , further including an executable portion that:

determines a real-time distance of the one or more objects from the user; and

stores the distance of the one or more objects from the user in the obstacle threshold distance map so as to determine the one or more objects within the obstacle threshold distance.

15. The computer program product of claim 13 , further including an executable portion that determines a speed, a velocity, a distance, or a combination thereof of the one or more objects in relation to the user, wherein the determined speed, the velocity, the distance, or a combination thereof are stored in the obstacle threshold distance map.

16. The computer program product of claim 13 , further including an executable portion that identifies the one or more objects via the one or more IoT devices embedded into one or more locations of the wound dressing, the mobility assistance device, or a combination thereof, wherein the one or more IoT devices include one or more types of sensors, media devices, audio devices, or a combination thereof.

17. The computer program product of claim 13 , further including an executable portion that

initializes a machine learning mechanism to learn, set, or modify the obstacle threshold distance for each of the one or more objects, parameters in the obstacle threshold distance map, activities of daily living (ADL), movement patterns of the user, or a combination thereof.

18. The computer program product of claim 13 , further including an executable portion that provides one or more alerts, suggestions, communications, or a combination thereof via a graphical user interface to the user so as to modify mobility or a course of action to avoid the one or more objects within the obstacle threshold distance.