Abstract: An autocomplete function for textual input uses situational parameters to predict the next words the user is intending to type. Situational and temporal parameters are based on textual input and sensor data of the user. A past time window is based on the situational and temporal parameters. Historical textual input and sensor data during the time window relating to the situational parameters are retrieved from a storage device and aggregated. A pre-existing model that relates the situational parameter to the time window is used to select a situational value based on the textual input and sensor data. Words relating to the situational parameter are listed that the user is likely to input next based on the selected situational value. The words are ranked by the probability that the user is intending to type each of the words. The highest ranked word is displayed to the user on a user interface.

Abstract: A method determines the most effective motivator at inducing a user to engage in a digital mental health intervention. The user is exposed to a first motivator that prompts the user to perform the intervention. The motivator can be a video, audio tape, textual explanation or quiz-like game. Intervention and motivator parameters are monitored to assess user engagement both with the first motivator and in performing the intervention. An intervention delivery model is personalized to the user based on both parameters. The intervention delivery model is used to determine the efficacy of the first motivator at motivating the user to perform the intervention. The intervention and motivator parameters are compared to an intervention engagement threshold and a motivator engagement threshold. If either or both parameters are below the corresponding threshold, the intervention delivery model is used to select a second motivator. The user is then exposed to the second motivator.

Abstract: An autocomplete function for textual input uses situational parameters to predict the next words the user is intending to type. Situational and temporal parameters are based on textual input and sensor data of the user. A past time window is based on the situational and temporal parameters. Historical textual input and sensor data during the time window relating to the situational parameters are retrieved from a storage device and aggregated. A pre-existing model that relates the situational parameter to the time window is used to select a situational value based on the textual input and sensor data. Words relating to the situational parameter are listed that the user is likely to input next based on the selected situational value. The words are ranked by the probability that the user is intending to type each of the words. The highest ranked word is displayed to the user on a user interface.

Abstract: Transcribed text and physiological data of a remote video conference participant are transmitted to a local device separately from the video data, which depicts the remote party during a time interval. An image of the video data is captured at a time instant within the time interval. A value of a remote party feature is determined remotely using the video data. The remote party feature can be the remote party's heart rate at the time instant. The value of the feature is received onto the local device. Audio data captures sounds spoken by the remote party and is converted by the remote device into words of text. The audio data converted into a particular word was captured at the time instant. The particular word is received onto the local device. The particular word and the value of the feature are displayed in association with one another on the local device.

Abstract: Video data captured during a time interval at the location of a remote party to a videoconference is received onto a remote device. The video data depicts the remote party. Audio data capturing sounds spoken by the remote party during the time interval is also received onto the remote device, which converts the audio data into words of text and captures prosodic information describing the sounds spoken by the remote party during the time interval. The words of text are received onto a local device. The prosodic information corresponding to the sounds spoken by the remote party during the time interval that were converted into the words of text are also received onto the local device. The words of text and prosodic information are stored in association with one another. A physiological parameter of the remote party is determined using the video data and is received onto the local device.

Abstract: The intelligibility of a video conference is monitored using speech-to-text conversion and by comparing text as spoken to text converted from received audio. A first portion of audio data of speech of a user which is timestamped with a first time is input into a first audio and text analyzer. A second portion of the audio data, which is also timestamped with the first time, is received onto a remote audio and text analyzer. The first audio and text analyzer converts the first portion of audio data into a first text fragment. The remote audio and text analyzer converts the second portion of audio data into a second text fragment. The first audio and text analyzer receives the second text fragment. The first text fragment is compared to the second text fragment. Whether the first text fragment matches the second text fragment is indicated to the user on a display.

Abstract: A system for monitoring the reaction of a user and for adjusting output content based on the user's reaction includes an output unit, a monitoring unit, a synchronization unit, an analysis unit and a control unit. The output unit presents content to the user. The monitoring unit monitors a user parameter during a period during which a first content is presented to the user in order to obtain monitoring data from the user. The monitoring data is synchronized during the period with the first content so as to link in time the monitoring data and the first content. The analysis unit analyzes the monitoring data and links it to the first content in order to determine the user's reaction to the first content. The control unit controls the output unit to present a second content to the user that is selected based on the user's reaction to the first content.

Abstract: An autocomplete function for textual input uses situational parameters to predict the next words the user is intending to type. Situational and temporal parameters are based on textual input and sensor data of the user. A past time window is based on the situational and temporal parameters. Historical textual input and sensor data during the time window relating to the situational parameters are retrieved from a storage device and aggregated. A pre-existing model that relates the situational parameter to the time window is used to select a situational value based on the textual input and sensor data. Words relating to the situational parameter are listed that the user is likely to input next based on the selected situational value. The words are ranked by the probability that the user is intending to type each of the words. The highest ranked word is displayed to the user on a user interface.

Abstract: The present invention relates to spectral correction. A spectral correction apparatus is described that is configured to identify a voltage fluctuation in the X-ray tube and to parameterize the high voltage fluctuation to correct the effective X-ray spectrum per individual frame.

Abstract: The invention refers to an apparatus for monitoring a subject (121) during an imaging procedure, e.g. CT-imaging The apparatus (110) comprises a monitoring image providing unit (111) providing a first monitoring image and a second monitoring image acquired at different support positions, a monitoring position providing unit (112) providing a first monitoring position of a region of interest in the first monitoring image, a support position providing unit (113) providing support position data of the support positions, a position map providing unit (114) providing a position map mapping calibration support positions to calibration monitoring positions, and a region of interest position determination unit (115) determining a position of the region of interest in the second monitoring image based on the first monitoring position, the support position data, and the position map. This allows to determine the position of the region of interest accurately and with low computational effort.

Abstract: Resonant DC-DC converters use a switching network to step a single DC voltage up to a working DC level using a resonant tank. However, high voltage DC power supply systems, for example, those used to power X-ray sources, are increasingly being integrated into smaller form factors, and it is becoming attractive to be able to make use of multiple DC-DC power supplies to power such X-ray sources. The present invention provides a topology for a resonant DC-DC converter, a DC electrical supply system, and method of operating a DC-DC resonant converter. The proposed topology uses a switching network to connect multiple DC power supplies to the resonant tank, to enable a more flexible provision of input power.

Abstract: High voltage DC generators based on a resonant tank include power inductors. As the demands on power output increase, but the demands on size of such high voltage DC generators decrease, the effect of radiated magnetic emissions become more significant. The present invention concerns a design for an inductive device, and a method for the assembly of an inductive device, in which a winding facing surface of the inductive device is a continuous portion, so that no air gap is present facing the winding facing surface. This reduces leakage of magnetic flux from the inductive device.

Abstract: The present invention relates to a control circuit (10) for controlling a resonant power converter. It is described to generate (210) a modulation signal. A carrier signal is generates (220), wherein the generation of the carrier signal comprises measuring at least one signal from the power converter. A switching signal is generated (230) that is useable to control a value of at least one magnitude of the resonant power converter based on the modulation signal and the carrier signal.

Abstract: The present invention relates to a control circuit (10) for controlling a resonant power converter. It is described to generate (210) a modulation signal. A carrier signal is generates (220), wherein the generation of the carrier signal comprises measuring at least one signal from the power converter. A switching signal is generated (230) that is useable to control a value of at least one magnitude of the resonant power converter based on the modulation signal and the carrier signal.

Abstract: The present invention relates to a control device (1) for a multiple-input multiple-output converter (100) comprising: a first transformation block controller (21), which is configured to split outputs of the multiple-input multiple-output converter (100) into independent sets of outputs representing at least two independent virtual converters (100-1, 100-2, . . . , 100-n); a first converter controller (10), which is configured to control a first virtual converter (100-1) of the at least two independent virtual converters (100-1, 100-2, . . . , 100-n) by providing a first controlling signal based on the independent sets of outputs; a second converter controller (30), which is configured to control a second virtual converter (100-2) of the at least two independent virtual converters (100-1, 100-2, . . .