Head motion prediction for spatial audio applications

    公开(公告)号:US11586280B2

    公开(公告)日:2023-02-21

    申请号:US17351187

    申请日:2021-06-17

    Applicant: Apple Inc.

    Abstract: Embodiments are disclosed for head motion prediction for spatial audio applications. In an embodiment, a method comprises: obtaining motion data from a source device and a headset; obtaining transmission delays from a wireless stack of the source; estimating relative motion from the relative source device and headset motion data; calculating a first derivative of the relative motion data; forward predicting the estimated relative motion over the time delays using the first derivative and second derivative of relative motion; determining, using a head tracker, a head pose of the user based on the forward predicted relative motion data; and rendering, using the head pose, spatial audio for playback on the headset.

    INERTIALLY STABLE VIRTUAL AUDITORY SPACE FOR SPATIAL AUDIO APPLICATIONS

    公开(公告)号:US20210400420A1

    公开(公告)日:2021-12-23

    申请号:US17351199

    申请日:2021-06-17

    Applicant: Apple Inc.

    Abstract: During an initialization of a head pose tracker for a spatial audio system, a spatial audio ambience bed is rotated about a boresight vector to align the boresight vector with a center channel of the ambience bed. The boresight is computed using source device motion data and headset motion data. The ambience bed includes the center channel and one or more other channels. An ambience bed reference frame is aligned with a horizontal plane of a headset reference frame, such that the ambience bed is horizontally level with a user's ears. A first estimated gravity direction is fixed (made constant) in the ambience bed reference frame. During head pose tracking, the ambience bed reference frame is rolled about the boresight vector to align a second estimated gravity direction in the headset reference frame with the first estimated gravity direction fixed in the ambience bed reference frame.

    HEAD DIMENSION ESTIMATION FOR SPATIAL AUDIO APPLICATIONS

    公开(公告)号:US20210400419A1

    公开(公告)日:2021-12-23

    申请号:US17351183

    申请日:2021-06-17

    Applicant: Apple Inc.

    Abstract: Embodiments are disclosed for head dimension estimation for spatial audio applications. In an embodiment, a method comprises: obtaining, using one or more processors of an audio headset worn on a user's head, acceleration samples and rotation rate samples over a specified time window while the user rotates their head, the acceleration samples and rotation rate samples measured using motion sensors in the headset; determining a function that relates the acceleration samples to the rotation rate samples; comparing the function to a plurality of reference functions, where each reference function corresponds to a different head dimension in a nominal range of head dimensions; and estimating a dimension of the user's head based on the comparing.

    HEAD TRACKING CORRELATED MOTION DETECTION FOR SPATIAL AUDIO APPLICATIONS

    公开(公告)号:US20210400414A1

    公开(公告)日:2021-12-23

    申请号:US17351205

    申请日:2021-06-17

    Applicant: Apple Inc.

    Abstract: Embodiments are disclosed for head tracking state detection based on correlated motion of a source device and a headset communicatively coupled to the source device. In an embodiment, a method comprises: obtaining, using one or more processors of a source device, source device motion data from a source device and headset motion data from a headset; determining, using the one or more processors, correlation measures using the source device motion data and the headset motion data; updating, using the one or more processors, a motion tracking state based on the determined correlation measures; and initiating head pose tracking in accordance with the updated motion tracking state.

    HEAD MOTION PREDICTION FOR SPATIAL AUDIO APPLICATIONS

    公开(公告)号:US20210397249A1

    公开(公告)日:2021-12-23

    申请号:US17351187

    申请日:2021-06-17

    Applicant: Apple Inc.

    Abstract: Embodiments are disclosed for head motion prediction for spatial audio applications. In an embodiment, a method comprises: obtaining motion data from a source device and a headset; obtaining transmission delays from a wireless stack of the source; estimating relative motion from the relative source device and headset motion data; calculating a first derivative of the relative motion data; forward predicting the estimated relative motion over the time delays using the first derivative and second derivative of relative motion; determining, using a head tracker, a head pose of the user based on the forward predicted relative motion data; and rendering, using the head pose, spatial audio for playback on the headset.

    Accurate calorimetry for intermittent exercises

    公开(公告)号:US10524670B2

    公开(公告)日:2020-01-07

    申请号:US14501771

    申请日:2014-09-30

    Applicant: Apple, Inc.

    Abstract: In one aspect, the present disclosure relates to a method including obtaining, by a fitness tracking device, a plurality of heart rate measurements of the user over a period of time, wherein the plurality of heart rate measurements can include heart rate data from a heart rate sensor of the fitness tracking device; analyzing, by the fitness tracking device, the plurality of heart rate measurements to determine a rate of change of a heart rate of the user during the period of time; determining, by the fitness tracking device, that the user is experiencing an onset phase if the rate of change of the heart rate during the period of time is greater than zero; determining, by the fitness tracking device, that the user is experiencing a cool-down phase if the rate of change of the heart rate during the period of time is less than zero; estimating, by the fitness tracking device, a first rate of energy expenditure of the user if the user is experiencing an onset phase using an onset calorimetry model; and estimating, by the fitness tracking device, a second rate of energy expenditure of the user if the user is experiencing a cool-down phase using a cool-down calorimetry model.

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