Abstract: A system and method are provided for warning of an exposure of a second individual to an allergen by transfer from a first individual. Movements of the individuals are tracked so that allergen types and levels to which the individuals have been exposed can be obtained. Using knowledge of user sensitivity information to different allergens, it is determined if the first individual has been exposed to allergen types and levels which pose a risk to the second individual by GPS transfer from the first individual to the second individual. Thus, action can be taken when there is a determined risk of allergen transfer between individuals.

Abstract: A method implemented by a computing device for helping a particular user use a user interface (UI). Electroencephalography (EEG) data is obtained that indicates brain activity of a particular user during a period in which that user views the UI and/or interprets help information that describes how to use the UI. Based on the EEG data, the computing device selects, from among multiple predefined cognitive states, the one or more cognitive states that characterize the particular user during the period. The computing device assists the particular user to use the UI by customizing the help information for the particular user based on the one or more selected cognitive states. A complementary computing device and computer program product are also disclosed.

Abstract: In certain embodiments, trigger-associated user messaging may be facilitated. In some embodiments, a first set of candidate users for messaging with a first user in connection with occurrence of a first trigger associated with the first user may be obtained. The first user may be monitored via one or more sensors for occurrence of the first trigger. A first occurrence of the first trigger may be determined based on the monitoring. Based on the first occurrence of the first trigger, the first set of candidate users may be accessed to initiate messaging between the first user and one or more users of the first set of candidate users. Messaging between the first user and a second user (of the first set of candidate users) may be initiated based on the second user having a higher priority than a third user of the first set of candidate users.

Abstract: The present invention relates to a patient feedback system (10) for providing feedback information on the use of a therapeutic device (14) to a patient (12), said system (10) comprising: an interface (34) for receiving personal profile data (18) of the patient (12); a database (16) for storing reference profile data (18?) and reference device settings (54) from a plurality of reference patients (42) using therapeutic devices; a cohort selection module (36) for comparing the personal profile data (18) of the patient (12) with the reference profile data (18?) of the reference patients (42) in the database (16) and for determining a cohort (44) for the patient (12) from the plurality of reference patients (42) based upon said comparison, wherein said cohort (44) comprises a subset of the reference patients (42) having reference profile data (18?) similar to the personal profile data (18) of the patient (12); and a feedback unit (38) for determining feedback information based on the reference device settings (

Abstract: A method is implemented by a computing device for helping a particular user use a user interface (UI). Electroencephalography (EEG) data is obtained that indicates brain activity of a particular user during a period in which that user views the UI and/or interprets help information that describes how to use the UI. Based on the EEG data, the computing device selects, from among multiple predefined cognitive states, the one or more cognitive states that characterize the particular user during the period. The computing device assists the particular user to use the UI by customizing the help information for the particular user based on the one or more selected cognitive states. A complementary computing device and computer program product are also disclosed.

Abstract: The present disclosure relates to virtualizing a network function in an ad-hoc group. The ad-hoc group comprises a plurality of mobile terminals that are configured for device-to-device communication, e.g., Proximity-Based Services (ProSe). The ProSe-enabled mobile terminals subscribe to a Network Functions Virtualization (NFV) service with an NFV management server. The NFV management server discovers the ad-hoc group that is suitable for NFV and informs an NFV application server of the ad-hoc group. The NFV application server then downloads data and configuration parameters to the ad-hoc group to offload a network function to the ad-hoc group for execution.

Abstract: The present invention relates to a patient feedback system (10) for providing feedback information on the use of a therapeutic device (14) to a patient (12), said system (10) comprising: an interface (34) for receiving personal profile data (18) of the patient (12); a database (16) for storing reference profile data (18?) and reference device settings (54) from a plurality of reference patients (42) using therapeutic devices; a cohort selection module (36) for comparing the personal profile data (18) of the patient (12) with the reference profile data (18?) of the reference patients (42) in the database (16) and for determining a cohort (44) for the patient (12) from the plurality of reference patients (42) based upon said comparison, wherein said cohort (44) comprises a subset of the reference patients (42) having reference profile data (18?) similar to the personal profile data (18) of the patient (12); and a feedback unit (38) for determining feedback information based on the reference device settings (54)

Abstract: A device for providing a touch-based user interface is disclosed. The device comprises a screen, a camera, and a processor. The camera images a reflection of the screen by a cornea of a user of the device. The processor displays at least one user-interface element on the screen, detects that a finger of a hand touches or is about to touch the screen, estimates a trajectory of the finger, and determines an intended location of touch of the finger on the screen. The trajectory of the finger is estimated by analyzing a sequence of images of the reflection. The intended location of touch is determined based on the estimated trajectory of the finger.

Abstract: A method is implemented by a computing device for helping a particular user use a user interface (UI). Electroencephalography (EEG) data is obtained that indicates brain activity of a particular user during a period in which that user views the UI and/or interprets help information that describes how to use the UI. Based on the EEG data, the computing device selects, from among multiple predefined cognitive states, the one or more cognitive states that characterize the particular user during the period. The computing device assists the particular user to use the UI by customizing the help information for the particular user based on the one or more selected cognitive states. A complementary computing device and computer program product are also disclosed.

Abstract: The present disclosure relates to virtualizing a network function in an ad-hoc group. The ad-hoc group comprises a plurality of mobile terminals that are configured for device-to-device communication, e.g., Proximity-Based Services (ProSe). The ProSe-enabled mobile terminals subscribe to a Network Functions Virtualization (NFV) service with an NFV management server. The NFV management server discovers the ad-hoc group that is suitable for NFV and informs an NFV application server of the ad-hoc group. The NFV application server then downloads data and configuration parameters to the ad-hoc group to offload a network function to the ad-hoc group for execution.

Abstract: A method is implemented by a computing device for helping a particular user use a user interface (UI). Electroencephalography (EEG) data is obtained that indicates brain activity of a particular user during a period in which that user views the UI and/or interprets help information that describes how to use the UI. Based on the EEG data, the computing device selects, from among multiple predefined cognitive states, the one or more cognitive states that characterize the particular user during the period. The computing device assists the particular user to use the UI by customizing the help information for the particular user based on the one or more selected cognitive states. A complementary computing device and computer program product are also disclosed.

Abstract: The present disclosure relates to virtualizing a network function in an ad-hoc group. The ad-hoc group comprises a plurality of mobile terminals (302, 304) that are configured for device-to-device communication, e.g., Proximity-Based Services (ProSe). The Pro Se-enabled mobile terminals (302, 304) subscribe to a Network Functions Virtualization (NFV) service with an NFV management server (322). The NFV management server (322) discovers the ad-hoc group that is suitable for NFV and informs an NFV application server (324) of the ad-hoc group. The NFV application server (324) then downloads data and configuration parameters to the ad-hoc group to offload a network function to the ad-hoc group for execution.

Abstract: A computing device having the capability to dynamically select a voice that will be used by a speech synthesizer in creating synthesized speech for use in communicating with a user of the computing device is provided. For example, in some embodiments, the computing device: i) employs the speech synthesizer to have a first audible communication with the user using a first voice; ii) stores user satisfaction data that can be used to determine a user's satisfaction with an action the user took in response to the first audible communication; and iii) determines whether a different voice should be used during a second audible communication with the user based on the stored user satisfaction data.

Abstract: A finite element (FE) model of an anatomical structure is generated based on a fitted model of the anatomical structure and association data. A segmentation model is provided for segmenting the anatomical structure. Association data is obtained which associates a segmentation model part of the segmentation model with a mesh property. The segmentation model part represents a pre-determined anatomical region of interest. The segmentation model is applied to a medical image of a subject, thereby obtaining the fitted model for segmenting the anatomical structure. The finite element model is generated based on the fitted model and the association data, by meshing a finite element model part of the finite element model corresponding with the pre-determined anatomical region of interest in accordance with the mesh property. Advantageously, this results in an efficient generation of the FE model needing fewer manual iterations and/or alterations in the model or in the mesh.

Abstract: A method is disclosed for controlling one or more appliances in a user environment, the one or more appliances in operation capable of causing environmental stimuli disruptive to a user's sleep. The method comprises receiving from one or more sensors data indicative of a sleep state of the user; analysing the received data to determine one or more control actions for controlling the one or more appliances to reduce sleep disruption due to the environmental stimuli caused by the appliances; and controlling the one or more appliances in dependence on the determined control actions. The method may involve determining, based on sleep state data for a first sleep period, an appliance control schedule for a second, later, time period.

Abstract: A method for evaluating a state of health (SOH) of an electric battery of an electric vehicle, said method comprising a step of: performing on said electric battery, under given conditions, a test, called proxy test, said proxy test including a partial charge and/or discharge action of the battery, comparing the results of the proxy test with data stored in a dataset, and estimating the SOH in function of the comparison result.

Abstract: A computing device having the capability to dynamically select a voice that will be used by a speech synthesizer in creating synthesized speech for use in communicating with a user of the computing device is provided. For example, in some embodiments, the computing device: i) employs the speech synthesizer to have a first audible communication with the user using a first voice; ii) stores user satisfaction data that can be used to determine a user's satisfaction with an action the user took in response to the first audible communication; and iii) determines whether a different voice should be used during a second audible communication with the user based on the stored user satisfaction data.

Abstract: A system and method are provided for warning of an exposure of a second individual to an allergen by transfer from a first individual. Movements of the individuals are tracked so that allergen types and levels to which the individuals have been exposed can be obtained. Using knowledge of user sensitivity information to different allergens, it is determined if the first individual has been exposed to allergen types and levels which pose a risk to the second individual by GPS transfer from the first individual to the second individual. Thus, action can be taken when there is a determined risk of allergen transfer between individuals.

Abstract: According to an example aspect of the present invention, there is provided an apparatus comprising a receiver configured to receive, from a first node, an indication of privacy preference and, from a second node, an indication relating to an accuracy at which the second node can determine a location of the first node (510), and at least one processing core configured to determine routing information based at least in part on the indication of privacy preference and the indication relating to the accuracy (520).

Abstract: A system for providing a reminder to a user is provided that stores reminder information relating to a task that the user wishes to be reminded about, along with activity information comprising information on activities that are considered to have an effect on the efficacy of the reminder associated with the task. The system monitors the user to determine if the activities in the activity information are being performed to produce a monitoring result, and then determines when to remind the user about the task based on the monitoring result by comparing the monitoring result to a threshold. A reminder alert is then output to the user when the monitoring result meets or exceeds the threshold.