Notification acknowledgement in electronic devices
    3.
    发明授权
    Notification acknowledgement in electronic devices 有权
    电子设备中的通知确认

    公开(公告)号:US09407756B2

    公开(公告)日:2016-08-02

    申请号:US14040646

    申请日:2013-09-28

    Inventor: Min Liu

    Abstract: In one example a controller comprises logic, at least partially including hardware logic, configured to receive a notification of an incoming event and terminate the notification in response to at least one of a predetermined motion applied to the controller or a predetermined touch applied to a touch surface. Other examples may be described.

    Abstract translation: 在一个示例中,控制器包括至少部分地包括硬件逻辑的逻辑,其被配置为响应于施加到控制器的预定运动或应用于触摸的预定触摸中的至少一个来接收进入事件的通知并终止通知 表面。 可以描述其他示例。

    Computing systems for peripheral control
    7.
    发明授权
    Computing systems for peripheral control 有权
    用于外围控制的计算系统

    公开(公告)号:US09495017B2

    公开(公告)日:2016-11-15

    申请号:US14359459

    申请日:2013-11-20

    Abstract: Embodiments of computing systems, and related methods, are disclosed herein. In some embodiments, a computing system may include a peripheral device (e.g., an image capture device and/or an audio output device) and control logic. The control logic may be coupled with a sensor system and the peripheral device to receive a trigger signal; receive, from the sensor system, one or more interaction signals indicative of a user interaction with the computing system; and, in response to receipt of the trigger signal and the one or more interaction signals, generate a control signal for output to the peripheral device to control operation of the peripheral device. Other embodiments may be disclosed and/or claimed.

    Abstract translation: 计算系统和相关方法的实施例在此公开。 在一些实施例中,计算系统可以包括外围设备(例如,图像捕获设备和/或音频输出设备)和控制逻辑。 控制逻辑可以与传感器系统和外围设备耦合以接收触发信号; 从所述传感器系统接收指示与所述计算系统的用户交互的一个或多个交互信号; 并且响应于接收到所述触发信号和所述一个或多个交互信号,产生用于输出到所述外围设备的控制信号以控制所述外围设备的操作。 可以公开和/或要求保护其他实施例。

    Detecting gestures on the side of a computing device
    9.
    发明授权
    Detecting gestures on the side of a computing device 有权
    检测计算设备侧面的手势

    公开(公告)号:US09244578B2

    公开(公告)日:2016-01-26

    申请号:US14128562

    申请日:2013-09-12

    Inventor: Min Liu

    Abstract: Embodiments of apparatus and methods for detecting gestures are described. In embodiments, an apparatus may include a transmitter-receiver electrode arrangement to generate an electric field projecting beyond a side of a computing device, so that changes to the electric field caused by user gestures on or near the outer surface of the side may be sensed. The transmitter-receiver electrode arrangement may include at least a transmitter and a receiver that are different, but complementary in geometry and disposition, disposed relative to an inner surface of the side of the computing device. Moreover, a capacitive sensor may be disposed in the computing device to output electrical signals indicative of changes to the electric field sensed. Other embodiments may be described and/or claimed.

    Abstract translation: 描述用于检测手势的装置和方法的实施例。 在实施例中,装置可以包括发射器 - 接收器电极装置,用于产生超出计算装置侧面的电场,使得可以感测到由侧面的外表面上或其附近的用户手势导致的对电场的改变 。 发射器 - 接收器电极装置可以至少包括相对于计算装置的侧面的内表面布置的不同的,但在几何形状和布局上互补的发射器和接收器。 此外,电容传感器可以设置在计算设备中以输出指示对所感测的电场的变化的电信号。 可以描述和/或要求保护其他实施例。

    COARSE AND HIERARCHICAL SWEEP SAMPLING IN MEMORY TRAINING

    公开(公告)号:US20230042495A1

    公开(公告)日:2023-02-09

    申请号:US17967037

    申请日:2022-10-17

    Abstract: In coarse memory training approaches, a multiple of a base timing interval is used to reduce the sampling time in a sweep sampling approach during memory training to determine the timing offset between a non-clock memory signal and a memory clock to ensure reliable memory operation at high frequencies. In a hierarchical memory training method, a coarse memory training step is employed to determine adjustable timing offsets where a memory captures the rising and falling edges of a non-clock memory signal and those adjustable timing offsets are used in a subsequent fine memory training step to refine the timing offsets where the memory captures the rising and falling edges of the non-clock memory signal. The hierarchical approach can determine timing offsets for non-clock memory signals with the accuracy of existing (non-coarse, non-hierarchical) memory training methods in less time than the existing methods.

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