Artificial intelligence (AI) / machine learning (ML) enabled adaptive/configurable internet-of-things (IoT) services
Aspects of the subject disclosure may include, for example, obtaining sensor data relating to a body part of a user, determining one or more adjustments to a shape or a structure of the device based on the sensor data, resulting in one or more determined adjustments, and causing the one or more determined adjustments to be made to the shape or the structure of the device, thereby providing for dynamic reconfiguration of the device for facilitating user treatment. Other embodiments are disclosed.
1 . A device, comprising:
a processing system including a processor; and
a memory that stores executable instructions that, when executed by the processing system, facilitate performance of operations, the operations comprising:
obtaining sensor data relating to a body part of a user;
determining one or more adjustments to a shape or a structure of the device based on the sensor data, resulting in one or more determined adjustments, wherein the determining is based on data that is received from a cloud-based server, wherein the device receives services from the cloud-based server via a network slice that is defined by a service management and orchestration system (SMO) of a network in accordance with one or more service level requirements that are provided by a health service provider system specifically for the device, wherein the service level requirements are defined based on a desired responsiveness of treatment for a medical condition associated with the user, wherein the desired responsiveness is selected to prevent injury of the user while the user is engaged in an activity that exerts the body part, and wherein the desired responsiveness is faster compared to a different desired responsiveness for another device that is worn by another user being treated for another medical condition; and
causing the one or more determined adjustments to be made to the shape or the structure of the device, thereby providing for dynamic reconfiguration of the device for facilitating user treatment.
2 . The device of claim 1 , wherein the device comprises a wearable Internet-Of-Things (IoT) device.
3 . The device of claim 1 , further comprising one or more sensors and one or more adjustable components, and wherein the one or more sensors derive the sensor data based on sensing of a position or a state of the one or more adjustable components, a position or a state of the body part of the user, or a combination thereof.
4 . The device of claim 1 , wherein the determining is performed using one or more artificial intelligence (AI) algorithms that are implemented in the device.
5 . The device of claim 1 , wherein the determining is performed using one or more artificial intelligence (AI) algorithms that are implemented in the cloud-based server.
6 . The device of claim 5 , wherein the one or more AI algorithms are trained based on information regarding a plurality of users.
7 . The device of claim 6 , wherein the cloud-based server comprises an adaptive Internet-Of-Things (IoT) system that enables one or more health service providers to submit IoT service requests relating to wearable IoT devices.
8 . The device of claim 1 , wherein the operations further comprise receiving information regarding the one or more adjustments from the cloud-based server via the network slice.
9 . The device of claim 1 , wherein the desired responsiveness is slower compared to a third desired responsiveness for a third device that is worn by a third user being treated for a third medical condition.
10 . The device of claim 8 , wherein a service delivery path relating to the network slice includes a mobile edge computing (MEC) device.
11 . The device of claim 8 , wherein the network slice is facilitated by an access intelligent controller (AIC).
12 . A non-transitory machine-readable medium, comprising executable instructions that, when executed by a processing system including a processor, facilitate performance of operations, the operations comprising:
receiving, from a wearable Internet-Of-Things (IoT) device, sensor information relating to a body part of a user, wherein the wearable IoT device is coupled to the body part;
generating data regarding one or more adjustments that are to be made to a shape or a structure of the wearable IoT device based on the sensor information; and
causing the data to be transmitted to the wearable IoT device, thereby facilitating dynamic reconfiguration of the wearable IoT device for user treatment, wherein the processing system communicates with the wearable IoT device via a network slice that is defined by a service management and orchestration system (SMO) of a network in accordance with one or more service level requirements that are provided by a health service provider system specifically for the wearable IoT device, wherein the service level requirements are defined based on a desired responsiveness of treatment for a medical condition associated with the user, wherein the desired responsiveness is selected to prevent injury of the user while the user is engaged in an activity that exerts the body part, and wherein the desired responsiveness is faster compared to a different desired responsiveness for another wearable IoT device that is worn by another user being treated for another medical condition.
13 . The non-transitory machine-readable medium of claim 12 , wherein the processing system comprises an adaptive Internet-Of-Things (IoT) system that enables one or more health service providers to submit IoT service requests relating to wearable IoT devices.
14 . The non-transitory machine-readable medium of claim 12 , wherein the processing system includes or has access to one or more artificial intelligence (AI) algorithms.
15 . The non-transitory machine-readable medium of claim 14 , wherein the one or more AI algorithms are implemented in a cloud-based server.
16 . The non-transitory machine-readable medium of claim 12 , wherein the desired responsiveness is slower compared to a third desired responsiveness for a third wearable IoT device that is worn by a third user being treated for a third medical condition.
17 . A method, comprising:
obtaining, by a processing system of a wearable Internet-Of-Things (IoT) device including a processor, sensor data relating to one or more body parts of a user;
determining, by the processing system, one or more adjustments to a shape or a structure of the wearable IoT device based on the sensor data, resulting in one or more determined adjustments, wherein the determining is based on data that is received from a cloud-based server, wherein the wearable IoT device receives services from the cloud-based server via a network slice that is defined by a service management and orchestration system (SMO) of a network in accordance with one or more service level requirements that are provided by a health service provider system specifically for the wearable IoT device, wherein the one or more service level requirements are defined based on a desired responsiveness of treatment for a medical condition associated with the user, wherein the desired responsiveness is selected to prevent injury of the user while the user is engaged in an activity that exerts the body part, and wherein the desired responsiveness is faster compared to a different desired responsiveness for another wearable IoT device that is worn by another user being treated for another medical condition; and
causing, by the processing system, the one or more determined adjustments to be made to the shape or the structure of the wearable IoT device, thereby providing for dynamic reconfiguration of the wearable IoT device for facilitating user treatment of the one or more body parts.
18 . The method of claim 17 , wherein the determining is performed using one or more artificial intelligence (AI) algorithms that are implemented in the wearable IoT device or in a cloud-based server.
19 . The method of claim 18 , wherein the one or more AI algorithms are trained based on information regarding a plurality of users.
20 . The method of claim 18 , wherein the cloud-based server comprises an adaptive Internet-Of-Things (IoT) system that enables one or more health service providers to submit IoT service requests relating to wearable IoT devices.