Electronic Devices with Motion Characterization Circuitry
    61.
    发明申请
    Electronic Devices with Motion Characterization Circuitry 审中-公开
    具有运动特性电路的电子设备

    公开(公告)号:US20150350822A1

    公开(公告)日:2015-12-03

    申请号:US14501725

    申请日:2014-09-30

    Applicant: Apple Inc.

    Abstract: An electronic device may include a motion sensor for detecting movement of the electronic device. Applications that run on the electronic device such as fitness applications or activity logging applications may use motion sensor data to track a user's physical activity. To avoid mischaracterizing a user's movement, motion sensor circuitry in the electronic device may supplement motion sensor data with additional information in instances where motion sensor data alone may be insufficient to distinguish between different types of physical activity. For example, information on a user's speed may be synthesized with motion sensor data to help characterize a user's movement. Information on a user's speed may be determined based on location information. The location information may, for example, be gathered using IEEE 802.11 transceiver circuitry or, in more rural areas, may be gathered using Global Positioning System receiver circuitry.

    Abstract translation: 电子设备可以包括用于检测电子设备的移动的运动传感器。 在电子设备上运行的应用程序(如健身应用程序或活动记录应用程序)可以使用运动传感器数据来跟踪用户的身体活动。 为了避免用户移动的错误描述,电子设备中的运动传感器电路可以在运动传感器数据单独不足以区分不同类型的身体活动的情况下用补充信息补充运动传感器数据。 例如,可以使用运动传感器数据来合成关于用户速度的信息,以帮助表征用户的运动。 关于用户速度的信息可以基于位置信息来确定。 位置信息可以例如使用IEEE 802.11收发器电路收集,或者在更多的农村地区可以使用全球定位系统接收机电路收集。

    AUTOMATIC TRACK SELECTION FOR CALIBRATION OF PEDOMETER DEVICES
    62.
    发明申请
    AUTOMATIC TRACK SELECTION FOR CALIBRATION OF PEDOMETER DEVICES 有权
    用于校准设备的自动跟踪选择

    公开(公告)号:US20150285659A1

    公开(公告)日:2015-10-08

    申请号:US14721941

    申请日:2015-05-26

    Applicant: APPLE INC.

    CPC classification number: G01C22/006 A63B2225/02 G01C25/005 G01S19/19

    Abstract: A calibration track to use for pedometer calibration can be automatically selected based on detecting sustained locomotion activity and an ability to obtain and maintain a reliable location fix over a calibration period. Calibration tracks can be generated, rated for quality, and used to compute calibration parameters to convert accelerometer data to stride length and/or distance traveled. Quality of a calibration can be assessed, and old and new calibration parameter sets can be combined based on quality weights assigned to each. Calibration parameters can be separately maintained for different locomotion activities and/or different on-body locations of the pedometers. Pedometer devices can also cooperatively calibrate each other.

    Abstract translation: 用于计步器校准的校准轨迹可以基于检测持续运动活动和在校准周期内获得和维持可靠定位的能力而自动选择。 可以生成校准轨迹,以达到质量标准,并用于计算校准参数,以将加速度计数据转换为步幅长度和/或行进距离。 可以评估校准的质量,并且可以基于分配给每个的质量权重来组合旧的和新的校准参数集合。 校准参数可以单独维护,用于不同的运动活动和/或计步器的不同身体位置。 计步器装置也可以协调地相互校准。

    Determination of Device Body Location
    63.
    发明申请
    Determination of Device Body Location 有权
    设备机身位置的确定

    公开(公告)号:US20140364162A1

    公开(公告)日:2014-12-11

    申请号:US14292750

    申请日:2014-05-30

    Applicant: Apple Inc.

    Abstract: In some implementations, a mobile device can analyze motion sensor data and proximity sensor data during a voice call to determine whether the mobile device is on a stationary object or worn on a user's body (e.g., in the lap or pocket of a user of the mobile device). The mobile device can adjust the transmit power level of the telephony transceiver during the voice call based on the determination.

    Abstract translation: 在一些实施方案中,移动设备可以在语音呼叫期间分析运动传感器数据和接近传感器数据,以确定移动设备是在静止物体上还是在用户的身体上穿戴(例如,在用户身体的膝盖或口袋中) 移动设备)。 基于确定,移动设备可以在语音呼叫期间调整电话收发器的发射功率电平。

    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.

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