Abstract: Techniques for dynamically determining a configuration file are described. In an example, a system receives, from a device, a request for first content to be presented by the device. The system determines metadata of the first content and a cue point indicating a start of a segment in which second content can be presented by the device. Based on the metadata and subsequent to the request, the system determines a configuration of the segment. The configuration includes: a duration of the segment, a sequence of slots in the segment, and/or a content duration usable in a slot of the segment. The system generates a configuration file that includes the metadata and the configuration, determines the second content based at least in part on the configuration file, and sends data about the first content and the second content to the device.

Abstract: A system-on-chip (SoC) may include a plurality of terminals and a plurality of terminal controllers. Each terminal controller is configured to selectively disable a terminal. An SoC be configured to execute at least one application. An SoC may include a memory configured to store a plurality of terminal masks. Each terminal mask identifies a subset of the plurality of terminals to be disabled. An SoC may include a fault collection and reaction system configured to transmit, to the plurality of terminal controllers, a fault indication signal in response to an error in a corresponding application. Each terminal controller is further configured to determine, based on a fault indication signal and a value in a terminal mask, whether the terminal corresponding to the terminal controller is to be disabled, and when the terminal corresponding to the terminal controller is to be disabled, disable the terminal.

Abstract: Aspects of the disclosure are directed to allocating bandwidth. As may be implemented in accordance with one or more embodiments, respective amounts of bandwidth are allocated to respective application groups for each memory access cycle in a set of memory access cycles. Initial bonus bandwidth is provided to a first one of the application groups during one of the memory access cycles. The bonus bandwidth may include at least a portion of bandwidth allocated to and unused by one of the other respective application groups during the memory access cycle. Additional bonus bandwidth is selectively provided to the first application group during one of the memory access cycles based on the initial bonus bandwidth and a maximum amount of bonus bandwidth defined for the set of memory access cycles, in response to bandwidth allocated to one of the other respective application groups during the subsequent memory access cycle being unused.

Abstract: Touch detection may include determining, based on data from an IMU on a first device that monitors movement of a touching object, a touch event, wherein the touch event indicates contact between the touching object and a surface, obtaining a depth image captured by a second device, comprising a touch image, determining a touch point of the object based on the touch image, and providing a response based on the touch point of the object and the touched surface.

Abstract: The present disclosure relates generally to remote touch detection. In some examples, a first electronic device obtains first image data and second image data about an input, and performs an operation based on the input in accordance with a determination that a set of one or more criteria is met based on the first image data and the second image data. In some examples, a first electronic device causes emission of infrared light by an infrared source of a second electronic device, obtains image data about an input, and performs an operation based on the input in accordance with a determination that a set of one or more criteria is met based on the image data.

Abstract: Generating a 3D model may include determining, based on sensor data from a touch sensor on a first device, a touch event, wherein the touch event comprises a touch on the first device by a touching object. Generating a 3D model may also include, in response to a touch event, obtaining a first image of the touching object by a first camera of the first device, and obtaining, from a second device, a second image of the touching object, wherein the first image of the touching object captures a first view of the touching object, and wherein the second image of the touching object captures a second view of the touching object. A model of the touching object is generated based on the first image and the second image.

Abstract: Touch detection may include determining, based on data from an IMU on a first device that monitors movement of a touching object, a touch event, wherein the touch event indicates contact between the touching object and a surface, obtaining a depth image captured by a second device, comprising a touch image, determining a touch point of the object based on the touch image, and providing a response based on the touch point of the object and the touched surface.

Abstract: Touch detection may include determining, based on data from an IMU on a first device that monitors movement of a touching object, a touch event, wherein the touch event indicates contact between the touching object and a surface, obtaining a depth image captured by a second device, comprising a touch image, determining a touch point of the object based on the touch image, and providing a response based on the touch point of the object and the touched surface.

Abstract: In one implementation, a device has a processor, a projector, a first infrared (IR) sensor, a second IR sensor, and instructions stored on a computer-readable medium that are executed by the processor to estimate the sensor-to-sensor extrinsic parameters. The projector projects IR pattern elements onto an environment surface. The first sensor captures a first image including first IR pattern elements corresponding to the projected IR pattern elements and the device estimates 3D positions for first IR pattern elements. The second IR sensor captures a second image including second IR pattern elements corresponding to the projected IR pattern elements and the device matches the first IR pattern elements and the second IR pattern elements. Based on this matching, the device estimates a second extrinsic parameter corresponding to a spatial relationship between the first IR sensor and the second IR sensor.

Abstract: Touch detection may include determining, based on data from an IMU on a first device that monitors movement of a touching object, a touch event, wherein the touch event indicates contact between the touching object and a surface, obtaining a depth image captured by a second device, comprising a touch image, determining a touch point of the object based on the touch image, and providing a response based on the touch point of the object and the touched surface.

Abstract: Touch detection may include determining, based on data from an IMU on a first device that monitors movement of a touching object, a touch event, wherein the touch event indicates contact between the touching object and a surface, obtaining a depth image captured by a second device, comprising a touch image, determining a touch point of the object based on the touch image, and providing a response based on the touch point of the object and the touched surface.

Abstract: Generating a 3D model may include determining, based on sensor data from a touch sensor on a first device, a touch event, wherein the touch event comprises a touch on the first device by a touching object. Generating a 3D model may also include, in response to a touch event, obtaining a first image of the touching object by a first camera of the first device, and obtaining, from a second device, a second image of the touching object, wherein the first image of the touching object captures a first view of the touching object, and wherein the second image of the touching object captures a second view of the touching object. A model of the touching object is generated based on the first image and the second image.

Abstract: Generating a 3D model may include determining, based on sensor data from a touch sensor on a first device, a touch event, wherein the touch event comprises a touch on the first device by a touching object. Generating a 3D model may also include, in response to a touch event, obtaining a first image of the touching object by a first camera of the first device, and obtaining, from a second device, a second image of the touching object, wherein the first image of the touching object captures a first view of the touching object, and wherein the second image of the touching object captures a second view of the touching object. A model of the touching object is generated based on the first image and the second image.

Abstract: The present disclosure relates generally to remote touch detection. In some examples, a first electronic device obtains first image data and second image data about an input, and performs an operation based on the input in accordance with a determination that a set of one or more criteria is met based on the first image data and the second image data. In some examples, a first electronic device causes emission of infrared light by an infrared source of a second electronic device, obtains image data about an input, and performs an operation based on the input in accordance with a determination that a set of one or more criteria is met based on the image data.

Abstract: In one implementation, a device has a processor, a projector, a first infrared (IR) sensor, a second IR sensor, and instructions stored on a computer-readable medium that are executed by the processor to estimate the sensor-to-sensor extrinsic parameters. The projector projects IR pattern elements onto an environment surface. The first sensor captures a first image including first IR pattern elements corresponding to the projected IR pattern elements and the device estimates 3D positions for first IR pattern elements. The second IR sensor captures a second image including second IR pattern elements corresponding to the projected IR pattern elements and the device matches the first IR pattern elements and the second IR pattern elements. Based on this matching, the device estimates a second extrinsic parameter corresponding to a spatial relationship between the first IR sensor and the second IR sensor.

Abstract: The present disclosure relates generally to remote touch detection. In some examples, a first electronic device obtains first image data and second image data about an input, and performs an operation based on the input in accordance with a determination that a set of one or more criteria is met based on the first image data and the second image data. In some examples, a first electronic device causes emission of infrared light by an infrared source of a second electronic device, obtains image data about an input, and performs an operation based on the input in accordance with a determination that a set of one or more criteria is met based on the image data.

Abstract: Generating a 3D model may include determining, based on sensor data from a touch sensor on a first device, a touch event, wherein the touch event comprises a touch on the first device by a touching object. Generating a 3D model may also include, in response to a touch event, obtaining a first image of the touching object by a first camera of the first device, and obtaining, from a second device, a second image of the touching object, wherein the first image of the touching object captures a first view of the touching object, and wherein the second image of the touching object captures a second view of the touching object. A model of the touching object is generated based on the first image and the second image.

Abstract: Touch detection may include determining, based on data from an IMU on a first device that monitors movement of a touching object, a touch event, wherein the touch event indicates contact between the touching object and a surface, obtaining a depth image captured by a second device, comprising a touch image, determining a touch point of the object based on the touch image, and providing a response based on the touch point of the object and the touched surface.

Abstract: The present disclosure relates generally to remote touch detection. In some examples, a first electronic device obtains first image data and second image data about an input, and performs an operation based on the input in accordance with a determination that a set of one or more criteria is met based on the first image data and the second image data. In some examples, a first electronic device causes emission of infrared light by an infrared source of a second electronic device, obtains image data about an input, and performs an operation based on the input in accordance with a determination that a set of one or more criteria is met based on the image data.

Abstract: Disclosed is a system for facilitating diagnostic and maintenance of a medical device used for treatment of a patient. The system comprises a data capturing module for capturing data pertaining to a medical device. The data may be captured from one or more data sources comprising Picture Archiving and Communication System (PACS), Electronic Medical Record (EMR) systems, and Device Monitoring System. Further, the system comprises an analysis module for deriving meaningful information from the data by performing data analytics on the data. Further, the system comprises a prediction module for predicting insights associated to the medical device based on the meaningful information, wherein the insights facilitate in diagnosis and maintenance of the medical device.