Abstract: A method and apparatus for receiving nutritional information are disclosed. For example, the method receives a profile of a user, receives over the communications network, grocery information on one or more grocery items at one or more locations of the user, receives over the communications network, ingestion information on ingestion by the user of at least one grocery item from the one or more grocery items, generates nutritional information, wherein the nutritional information is determined by performing an analysis based on the profile of the user, the grocery information, and the ingestion information, and provides over the communications network, the nutritional information, to an endpoint device of the user.

Abstract: A method and apparatus for receiving nutritional information are disclosed. For example, the method receives a profile of a user, receives over the communications network, grocery information on one or more grocery items at one or more locations of the user, receives over the communications network, ingestion information on ingestion by the user of at least one grocery item from the one or more grocery items, generates nutritional information, wherein the nutritional information is determined by performing an analysis based on the profile of the user, the grocery information, and the ingestion information, and provides over the communications network, the nutritional information, to an endpoint device of the user.

Abstract: Devices, computer-readable media and methods for affecting mental states of a first user and a second user are disclosed. For example, a processor may receive first biometric data for a first user, quantify a mental state of the first user based upon the first biometric data, receive second biometric data for a second user, and quantify a mental state of the second user based upon the second biometric data. The processor may further select a first automated action to affect the mental state of the first user and the mental state of the second user, and implement the first automated action to affect the mental state of the first user and the mental state of the second user.

Abstract: A method and apparatus for modifying a behavior of a user are disclosed. For example, the method determines a baseline of a behavior to be modified for a user, the baseline comprising at least one triggering event that is established for the behavior to be modified and at least one action to be taken when the at least one triggering event is detected, detects the at least one triggering event that is established for the behavior to be modified for the user, identifies the at least one action to be performed when the at least one triggering event is detected, and performs the at least action that is identified.

Abstract: A device, non-transitory computer-readable medium, and method for disengaging a corrective action via a wearable unit are disclosed. In one example, a processor may receive a movement model for a type of motion of a user, collect sensor data associated with the type of motion of the user from a plurality of sensors of a wearable unit, and determine that the sensor data is not in accordance with the movement model. The processor may further provide a corrective action via the wearable unit in accordance with the movement model when it is determined that the sensor data is not in accordance with the movement model, detect a triggering condition for disengaging the corrective action, and disengage the corrective action when the triggering condition is detected.

Abstract: A method includes identifying a location of at least on of a plurality of electronic devices within an area of interest. The method includes, based on at least the location of the at least one of the plurality of electronic devices, determining signal strength at a plurality of points within the area of interest. The method includes providing a modification of the area of interest to improve the signal strength at one of the plurality of points.

Abstract: A method and apparatus for modifying a behavior of a user are disclosed. For example, the method determines a baseline of a behavior to be modified for a user, the baseline comprising at least one triggering event that is established for the behavior to be modified and at least one action to be taken when the at least one triggering event is detected, detects the at least one triggering event that is established for the behavior to be modified for the user, identifies the at least one action to be performed when the at least one triggering event is detected, and performs the at least action that is identified.

Abstract: Aspects of the subject disclosure include, for example, selecting a first communication device of the plurality of communication devices to analyze activities of the first communication device, presenting at a device activity information associated with the activities of the first communication device, facilitating an exchange of messages between the device and the first communication device, receiving a request from the device to transfer control of the first communication device to the device responsive to the device receiving an unsatisfactory response from the first communication device, and receiving control information from the device to adjust an operational aspect of the first communication device. Other embodiments are disclosed.

Abstract: Aspects of the subject disclosure may include, for example, presenting, in a map, an interaction region associated with a user, where the interaction region is determined according to a current location, an activity, a predicted future location, and a predicted future activity of the second user, and according to a relationship between the user and another users, where the interaction region represents a geographic area in which the user is determined to be available to meet with the other user. Other embodiments are disclosed.

Abstract: A method and apparatus for modifying a behavior of a user are disclosed. For example, the method determines a baseline of a behavior to be modified for a user, the baseline comprising at least one triggering event that is established for the behavior to be modified and at least one action to be taken when the at least one triggering event is detected, detects the at least one triggering event that is established for the behavior to be modified for the user, identifies the at least one action to be performed when the at least one triggering event is detected, and performs the at least action that is identified.

Abstract: A device, non-transitory computer-readable medium, and method for disengaging a corrective action via a wearable unit are disclosed. In one example, a processor may receive a movement model for a type of motion of a user, collect sensor data associated with the type of motion of the user from a plurality of sensors of a wearable unit, and determine that the sensor data is not in accordance with the movement model. The processor may further provide a corrective action via the wearable unit in accordance with the movement model when it is determined that the sensor data is not in accordance with the movement model, detect a triggering condition for disengaging the corrective action, and disengage the corrective action when the triggering condition is detected.

Abstract: In one example, the present disclosure describes a device, computer-readable medium, and method for regulating a user's eating habits. For instance, in one example, a food-related event is detected in the user's vicinity. A response to the food-related event is determined in accordance with a preference of the user. A feedback action is then initiated to evoke a user reaction to the food-related event that is consistent with the response.

Abstract: Devices, computer-readable media and methods for affecting mental states of a first user and a second user are disclosed. For example, a processor may receive first biometric data for a first user, quantify a mental state of the first user based upon the first biometric data, receive second biometric data for a second user, and quantify a mental state of the second user based upon the second biometric data. The processor may further select a first automated action to affect the mental state of the first user and the mental state of the second user, and implement the first automated action to affect the mental state of the first user and the mental state of the second user.

Abstract: A device, non-transitory computer-readable medium, and method for disengaging a corrective action via a wearable unit are disclosed. In one example, a processor may receive a movement model for a type of motion of a user, collect sensor data associated with the type of motion of the user from a plurality of sensors of a wearable unit, and determine that the sensor data is not in accordance with the movement model. The processor may further provide a corrective action via the wearable unit in accordance with the movement model when it is determined that the sensor data is not in accordance with the movement model, detect a triggering condition for disengaging the corrective action, and disengage the corrective action when the triggering condition is detected.

Abstract: A device, non-transitory computer-readable medium, and method for disengaging a corrective action via a wearable unit are disclosed. In one example, a processor may receive a movement model for a type of motion of a user, collect sensor data associated with the type of motion of the user from a plurality of sensors of a wearable unit, and determine that the sensor data is not in accordance with the movement model. The processor may further provide a corrective action via the wearable unit in accordance with the movement model when it is determined that the sensor data is not in accordance with the movement model, detect a triggering condition for disengaging the corrective action, and disengage the corrective action when the triggering condition is detected.

Abstract: A method includes identifying a location of at least on of a plurality of electronic devices within an area of interest. The method includes, based on at least the location of the at least one of the plurality of electronic devices, determining signal strength at a plurality of points within the area of interest. The method includes providing a modification of the area of interest to improve the signal strength at one of the plurality of points.

Abstract: A device, non-transitory computer-readable medium, and method for disengaging a corrective action via a wearable unit are disclosed. In one example, a processor may receive a movement model for a type of motion of a user, collect sensor data associated with the type of motion of the user from a plurality of sensors of a wearable unit, and determine that the sensor data is not in accordance with the movement model. The processor may further provide a corrective action via the wearable unit in accordance with the movement model when it is determined that the sensor data is not in accordance with the movement model, detect a triggering condition for disengaging the corrective action, and disengage the corrective action when the triggering condition is detected.

Abstract: A method includes identifying a location of at least on of a plurality of electronic devices within an area of interest. The method includes, based on at least the location of the at least one of the plurality of electronic devices, determining signal strength at a plurality of points within the area of interest. The method includes providing a modification of the area of interest to improve the signal strength at one of the plurality of points.

Abstract: A method and apparatus for receiving nutritional information are disclosed. For example, the method receives a profile of a user, receives over the communications network, grocery information on one or more grocery items at one or more locations of the user, receives over the communications network, ingestion information on ingestion by the user of at least one grocery item from the one or more grocery items, generates nutritional information, wherein the nutritional information is determined by performing an analysis based on the profile of the user, the grocery information, and the ingestion information, and provides over the communications network, the nutritional information, to an endpoint device of the user.

Abstract: Aspects of the subject disclosure may include, for example, presenting, in a map, an interaction region associated with a user, where the interaction region is determined according to a current location, an activity, a predicted future location, and a predicted future activity of the second user, and according to a relationship between the user and another users, where the interaction region represents a geographic area in which the user is determined to be available to meet with the other user. Other embodiments are disclosed.