Apple Vision Pros could eventually provide adjustable frame rates for videos as evidenced by a newly granted patent (number US 12113955 B2).
About the patent
Obviously, the Vision Pro can display images and videos. Devices such as Apple’s spatial computer may have a default frame rate.
The displays can be used to present cinematic (movie) content, which is typically recorded at 24 frames per second (fps). Such 24 fps movie content does not always divide evenly into the default frame rate of the displays. However, this can cause motion appearing on the displays to have uneven pacing, a phenomenon sometimes referred to as judder.
Apple wants a Vision Pro user to be able to adjust a frame rate. According to the patent, the determination of whether to switch between the first and second frame rates and among other frame rates can be based on a variety of information, including but not limited to a preferred frame rate obtained from the content to be displayed, a window size associated with the content of interest, point of gaze information, hand gestures information, head pose information, other information associated with one or more body parts of the user, and information associated with other hardware components and/or software applications on the head-mounted device.
Summary of the patent
Here’s Apple’s abstract of the patent: “A head-mounted device includes one or more displays configured to present media content. The media content may be presented in a user interface window. The head-mounted device may include a display controller configured to adjust a frame rate of the one or more displays and may include a frame rate management circuit configured to determine whether to adjust the frame rate of the one or more displays based on the type of the media content being presented in the user interface window and based on additional information such as a preferred frame rate associated with the media content, a size of the user interface window relative to the total display area of the one or more displays, point of gaze data, hand gestures data, head pose data, data associated with other body parts, audio information and other data.”
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