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Today Apple won 66 patents covering Machine-Learning based Gesture Recognition, Audio Pose Sensors, a design Patent & more

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Today the U.S. Patent and Trademark Office officially published a series of 66 newly granted utility patents for Apple Inc. In this particular report we briefly cover UI's For Adaptively Providing Audio Outputs; Machine-Learning based Gesture Recognition using Multiple Sensors; a design patent for Apple Watch Ultra and as always, we wrap up this week's granted patent report with our traditional listing of the remaining granted patents that were issued to Apple this week.

User Interfaces For Adaptively Providing Audio Outputs

Apple's granted patent covers a method that is performed on headphones including one or more pose sensors for detecting a pose of a user.  The electronic device is in communication with one or more audio output devices. The method includes, while a first pose of the user meets first presentation criteria: providing audio content at a first simulated spatial location relative to the user. The method includes detecting a change in the pose of the user from the first pose to a second pose; and, in response to detecting the change in the pose of the user, and in accordance with a determination that the second pose of the user does not meet the first presentation criteria: providing audio content at a second simulated spatial location relative to the user that is different from the first simulated spatial location.

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For full details, review granted patent 12118974.

Machine-Learning based Gesture Recognition using Multiple Sensors

In Apple's granted patent they note that "In some cases, a user may wish to use touch input (e.g., on a touchscreen of the electronic device) to perform an action. Alternatively or in addition, it may be desirable for a user to perform a gesture without having to rely on touch input. For example, a user may wish for the electronic device to perform a particular action based on a gesture performed by the same hand wearing the smartwatch.

The subject technology provides for detecting user gestures by utilizing outputs received via one or more sensors of the electronic device. For example, the electronic device may receive respective outputs from first sensor(s) (e.g., biosignal sensor(s)) and second sensor(s) (e.g., non-biosignal sensor(s)). The outputs may be provided as input to a machine learning model implemented on the electronic device, which had been trained based on outputs from various sensors, in order to predict a user gesture. Based on the predicted gesture, the electronic device may perform a particular action (e.g., changing a user interface).

Apple's patent FIG. 3 below illustrates an example architecture, that may be implemented by an electronic device, for machine-learning based gesture recognition.

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For full details, review granted patent 12118443.

Design Patent: Apple Watch Ultra

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This Week's Remaining Granted Patents

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10.52FX - Granted Patent Bar