Abstract: In one implementation, a method of generating an output image is performed by a device including a display, one or more processors, and non-transitory memory. The method includes obtaining a currently rendered image and an accumulation image based on previously rendered images. The method includes generating an output image based on the currently rendered image and the accumulation image, wherein the output image includes a first output pixel at a first output pixel location having a first output pixel value based on a first weighting of the currently rendered image and the accumulation image and the output image includes a second output pixel at a second output pixel location having a second output pixel value based on a second weighting of the currently rendered image and the accumulation image, wherein the second weighting is different than the first weighting. The method includes displaying, on the display, the output image.

Abstract: A method includes obtaining computer-generated content associated with a first color characteristic. The computer-generated content is associated with a first region of a physical environment. The method includes detecting a second color characteristic associated with a second region of the physical environment different from the first region of the physical environment. The method includes, while the electronic device is in a first display rendering mode including the first and second color characteristics, determining that a display rendering mode change condition is satisfied, and accordingly changing the electronic device from the first display rendering mode to a second display rendering mode. Changing to the second display rendering mode includes changing the first region from the first color characteristic to a third color characteristic, or changing the second region from the second color characteristic to a fourth color characteristic different from the third color characteristic.

Abstract: In one implementation, a method of scene camera retargeting is performed by a head-mounted device (HMD) including one or more processors, non-transitory memory, a scene camera, and a display. The method includes capturing, using the scene camera, an image of a scene. The method includes determining, using the one or more processors, a depth of the scene. The method further includes transforming, using the one or more processors, the image of the scene based on the depth and a difference between a point-of-view of the scene camera and a point-of-view of a user. The method further includes displaying, on the display, the transformed image.

Abstract: In one implementation, a method of scene camera retargeting is performed by a head-mounted device (HMD) including one or more processors, non-transitory memory, a scene camera, and a display. The method includes capturing, using the scene camera, an image of a scene. The method includes determining, using the one or more processors, a depth of the scene. The method further includes transforming, using the one or more processors, the image of the scene based on the depth and a difference between a point-of-view of the scene camera and a point-of-view of a user. The method further includes displaying, on the display, the transformed image.

Abstract: Various implementations disclosed herein include devices, systems, and methods that enable improved display of virtual content in computer generated reality (CGR) environments. In some implementations, the virtual content is viewed by an observer and includes multiple content elements, each of which may be rendered at an independent rate based on a change of view of the observer.

Abstract: In one implementation, a method of frame rate extrapolation is performed by a device including one or more processors, non-transitory memory, a scene camera, and a display. The method includes capturing, using the scene camera, an image of a scene. The method includes displaying, on the display, the image of the scene at a first time. The method includes generating an extrapolated image by transforming, using the one or more processors, the image of the scene based on movement of the device, wherein the extrapolated image includes a first area including a first plurality of pixels having respective first pixel values based on a single depth and a second area including a second plurality of pixels having respective second pixel values based on a plurality of depths. The method includes displaying, on the display, the extrapolated image at a second time after the first time.

Abstract: In one implementation, a method of scene camera retargeting is performed by a head-mounted device (HMD) including one or more processors, non-transitory memory, a scene camera, and a display. The method includes capturing, using the scene camera, an image of a scene. The method includes determining, using the one or more processors, a depth of the scene. The method further includes transforming, using the one or more processors, the image of the scene based on the depth and a difference between a point-of-view of the scene camera and a point-of-view of a user. The method further includes displaying, on the display, the transformed image.

Abstract: In one implementation, a method of scene camera retargeting is performed by a head-mounted device (HMD) including one or more processors, non-transitory memory, a scene camera, and a display. The method includes capturing, using the scene camera, an image of a scene. The method includes determining, using the one or more processors, a depth of the scene. The method further includes transforming, using the one or more processors, the image of the scene based on the depth and a difference between a point-of-view of the scene camera and a point-of-view of a user. The method further includes displaying, on the display, the transformed image.

Abstract: In one implementation, a method of scene camera retargeting is performed by a head-mounted device (HMD) including one or more processors, non-transitory memory, a scene camera, and a display. The method includes capturing, using the scene camera, an image of a scene. The method includes determining, using the one or more processors, a depth of the scene. The method further includes transforming, using the one or more processors, the image of the scene based on the depth and a difference between a point-of-view of the scene camera and a point-of-view of a user. The method further includes displaying, on the display, the transformed image.

Abstract: A measurement assembly of a personal health monitoring system for measuring the lung capacity of a person. In an embodiment, the measurement assembly includes a sensor assembly includes a sensor that is configured to sense the force of a fluid exhaled by the person onto the sensor and output a force measurement. In addition, the measurement assembly includes a control assembly coupled to the force sensing assembly, the control assembly configured to receive the force measurement from the sensor. Further, the measurement assembly includes a housing configured to support each of the sensor assembly and the control assembly. The sensor is disposed on an external surface of the housing.

Abstract: A fan coil block of the present invention preferably includes a fan for drawing air and a cooling device for cooling air drawn by the fan. A flexible air handling system of the present invention preferably includes a fan coil block that is supportable overhead by an overhead support system. The present invention is also directed to an air handling method that includes the steps of providing an overhead support system for supporting overhead devices, defining a return air chase within the interior space of a building, and supporting a fan coil block above or within the return air chase using the overhead support system. The fan coil block draws and cools air from the return air chase and returns the cooled air to a plenum above the overhead support system.