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: 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: 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.