Abstract: A system comprising a shape element library and a set of tools and scripts enabling, via manipulation of shape element parameters in a primarily graphical setting, the graphical attachment and multiplication of shapes elements to form shape element clusters.

Abstract: We describe a capnometer for analysing respiratory system function of a patient, the capnometer comprising: a memory to store patient data which is specific to said patient; and a signal processor to analyse a CO2 waveform representing a variation over time in a CO2 level of air inhaled and/or exhaled by said patient.

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: The present disclosure generally relates to sensor calibration using a robot cart, and more specifically, to sensor calibration using a robot that is configured to automatically reposition a calibration target. In some aspects, the present disclosure provides a process for determining a first location of a calibration robot within a calibration environment, collecting a first set of sensor data for the calibration environment, and transmitting a relocation command to the calibration robot. In some aspects, the process can further include steps for collecting, using the one or more AV sensors, a second set of sensor data for the calibration environment, wherein the second set of sensor data includes the calibration robot at the second location. Systems and computer-readable media are also provided.

Abstract: According to examples there may be provided a method for classifying a capnogram, the method comprising: obtaining a breath waveform from a capnogram determining one or more transition points of the breath waveform, wherein the transition points comprise: a delta transition point between an expiratory baseline and an expiratory upstroke, a gamma transition point between an inspiratory downstroke and an inspiratory baseline, and an alpha transition point between the expiratory upstroke and an expiratory plateau; extracting features of the breath waveform using the transition points; and applying a trained machine learning model to the extracted features, wherein the trained machine learning model is configured to output a classification of the capnogram from the features.

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: Embodiments of the present invention provide concepts for handling incoming transaction requests to a transaction server based on a historical record of the server resources required to execute similar transactions in the past and the current capacity of the transaction server. Incoming transaction requests may be classified as heavy weight transactions or light weight transactions and the handling of the transaction requests may be based on said classification.

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: Controlling a server latency response is presented. One example comprises monitoring, at a server, a number of requests from a client that cause a failure response. The method then comprises, responsive to the number of requests meeting a predetermined requirement, delaying processing of the requests from the client by a predetermined delay time.

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.