PLACE OF RELEVANCE DETERMINATION IN A CELLULAR NETWORK
    1.
    发明申请
    PLACE OF RELEVANCE DETERMINATION IN A CELLULAR NETWORK 审中-公开
    细胞网络中相关性测定的位置

    公开(公告)号:US20160037291A1

    公开(公告)日:2016-02-04

    申请号:US14450856

    申请日:2014-08-04

    CPC classification number: H04W64/00 H04W84/042

    Abstract: A method includes receiving cellular network signals at a mobile device from several cells of a cellular network. The method then includes generating a place model representative of a characteristic of the place where the mobile device is located in response to the received cellular network signals. In one aspect, the place model is clustered with one or more previously generated place models if the place model is similar to the one or more previously generated place models. In another aspect, it is determined whether the place where the mobile device is located is a place of relevance to a user based on the clustering of one or more previously generated place models if the place model is similar to the one or more previously generated place models.

    Abstract translation: 一种方法包括从蜂窝网络的几个小区在移动设备处接收蜂窝网络信号。 该方法然后包括响应于接收到的蜂窝网络信号而生成代表移动设备所在位置的特征的地点模型。 在一个方面,如果地点模型类似于一个或多个先前生成的地点模型,则场所模型与一个或多个先前生成的地点模型聚类。 在另一方面,如果地点模型类似于一个或多个先前生成的地点,则基于一个或多个先前生成的地点模型的聚类,确定移动设备所在的地点是否是与用户相关的地方 楷模。

    MOTION CLASSIFICATION USING A COMBINATION OF LOW-POWER SENSOR DATA AND MODEM INFORMATION
    2.
    发明申请
    MOTION CLASSIFICATION USING A COMBINATION OF LOW-POWER SENSOR DATA AND MODEM INFORMATION 审中-公开
    使用低功率传感器数据和调制解调器信息的组合进行运动分类

    公开(公告)号:US20150071102A1

    公开(公告)日:2015-03-12

    申请号:US14479167

    申请日:2014-09-05

    Abstract: Disclosed is an apparatus and method for motion classification using a combination of low-power sensor data and modem information. In one embodiment, data received from at least one low-power sensor is collected. Information regarding cellular network signals is collected from a modem. A speed estimate is determined based on the information regarding cellular network signals. A motion context classification is then determined based on a combination of the collected data received from the at least one low-power sensor and the speed estimate.

    Abstract translation: 公开了一种使用低功率传感器数据和调制解调器信息的组合的运动分类的装置和方法。 在一个实施例中,收集从至少一个低功率传感器接收的数据。 从调制解调器收集有关蜂窝网络信号的信息。 基于关于蜂窝网络信号的信息来确定速度估计。 然后基于从至少一个低功率传感器接收到的收集的数据与速度估计的组合来确定运动上下文分类。

    POWER STATE CONTROL OF A MOBILE DEVICE
    3.
    发明申请

    公开(公告)号:US20190094941A1

    公开(公告)日:2019-03-28

    申请号:US15713254

    申请日:2017-09-22

    Abstract: A method of operating a shared resource in a mobile device includes extracting a set of features from a plurality of subsystems of the mobile device. The set of features may be extracted from each subsystem of the plurality of subsystems requesting services from one or more shared resources of the mobile device. One or more parameter of the shared resource(s) may be determined based on the extracted set of features from the plurality of subsystems. The shared resource(s) may be operated based on the determined parameter(s).

    POWER EFFICIENT USE OF A DEPTH SENSOR ON A MOBILE DEVICE
    4.
    发明申请
    POWER EFFICIENT USE OF A DEPTH SENSOR ON A MOBILE DEVICE 有权
    深度传感器对移动设备的有效利用

    公开(公告)号:US20150146926A1

    公开(公告)日:2015-05-28

    申请号:US14552183

    申请日:2014-11-24

    Abstract: Systems, apparatus and methods in a mobile device to enable and disable a depth sensor for tracking pose of the mobile device are presented. A mobile device relaying on a camera without a depth sensor may provide inadequate pose estimates, for example, in low light situations. A mobile device with a depth sensor uses substantial power when the depth sensor is enabled. Embodiments described herein enable a depth sensor only when images are expected to be inadequate, for example, accelerating or moving too fast, when inertial sensor measurements are too noisy, light levels are too low or high, an image is too blurry, or a rate of images is too slow. By only using a depth sensor when images are expected to be inadequate, battery power in the mobile device may be conserved and pose estimations may still be maintained.

    Abstract translation: 提出了移动设备中的启用和禁用用于跟踪移动设备姿态的深度传感器的系统,设备和方法。 在没有深度传感器的相机上中继的移动设备可以提供不足的姿势估计,例如在低光情况下。 当深度传感器启用时,具有深度传感器的移动设备使用大量功率。 本文所描述的实施例仅在预期图像不足时才能使用深度传感器,例如,当惯性传感器测量太嘈杂时,加速或移动太快,光水平太低或过高,图像太模糊或速率 的图像太慢了。 通过在图像预期不足时仅使用深度传感器,移动设备中的电池电量可能被保存并且仍然可以维持姿态估计。

    SMARTPHONE MOTION CLASSIFIER
    6.
    发明申请
    SMARTPHONE MOTION CLASSIFIER 审中-公开
    SMARTPHONE运动分类器

    公开(公告)号:US20160195569A1

    公开(公告)日:2016-07-07

    申请号:US14865665

    申请日:2015-09-25

    CPC classification number: G01P15/18 G06F3/0346 H04W4/026 H04W4/027

    Abstract: Disclosed is an apparatus and method for classifying a motion state of a mobile device comprising: determining a first motion state associated with a highest probability value and with a first confidence level greater than a first threshold; entering the first motion state; while the first motion state is active, determining a second motion state associated with a highest probability value and with a second confidence level greater than the first threshold, the second motion state being different from the first motion state; determining whether the second motion state is to be entered; and in response to determining that the second motion state is to be entered, entering the second motion state.

    Abstract translation: 公开了一种用于对移动设备的运动状态进行分类的装置和方法,包括:确定与最高概率值相关联的第一运动状态和大于第一阈值的第一置信度; 进入第一动作状态; 当所述第一运动状态为有效时,确定与最高概率值相关联的第二运动状态和大于所述第一阈值的第二置信度,所述第二运动状态不同于所述第一运动状态; 确定是否要输入第二运动状态; 并且响应于确定要输入第二运动状态,进入第二运动状态。

    CONTEXT LABELS FOR DATA CLUSTERS
    7.
    发明申请
    CONTEXT LABELS FOR DATA CLUSTERS 有权
    数据集的语境标签

    公开(公告)号:US20140129560A1

    公开(公告)日:2014-05-08

    申请号:US13831393

    申请日:2013-03-14

    Abstract: Systems and methods for applying and using context labels for data clusters are provided herein. A method described herein for managing a context model associated with a mobile device includes obtaining first data points associated with a first data stream assigned to one or more first data sources; assigning ones of the first data points to respective clusters of a set of clusters such that each cluster is respectively assigned ones of the first data points that exhibit a threshold amount of similarity and are associated with times within a threshold amount of time of each other; compiling statistical features and inferences corresponding to the first data stream or one or more other data streams assigned to respective other data sources; assigning context labels to each of the set of clusters based on the statistical features and inferences.

    Abstract translation: 本文提供了应用和使用数据集群上下文标签的系统和方法。 本文描述的用于管理与移动设备相关联的上下文模型的方法包括:获得与分配给一个或多个第一数据源的第一数据流相关联的第一数据点; 将所述第一数据点中的一个分配给一组集群的相应集群,使得每个集群分别被分配出呈现阈值相似度的第一数据点中的一个并且与彼此的阈值时间量内的时间相关联; 编译对应于分配给各个其他数据源的第一数据流或一个或多个其他数据流的统计特征和推论; 基于统计特征和推论将上下文标签分配给每组集群。

    Detecting Imminent Use of a Device
    8.
    发明申请
    Detecting Imminent Use of a Device 审中-公开
    检测即将使用的设备

    公开(公告)号:US20150253351A1

    公开(公告)日:2015-09-10

    申请号:US14201576

    申请日:2014-03-07

    Abstract: Apparatuses and methods for detecting imminent use of a device are disclosed. According to aspects of the present disclosure, a device can be configured to consume sensor data, such as accelerometer data, or other available information obtained from low power sources. From the sensor data or other available information, the device is configured to determine an inference of imminent use. Based on the determination of inference of imminent use, the device can be configured to provide information for power management applications or situation aware applications in some implementations.

    Abstract translation: 公开了一种用于检测设备即将使用的装置和方法。 根据本公开的方面,设备可以被配置为消耗诸如加速度计数据的传感器数据或从低功率源获得的其他可用信息。 根据传感器数据或其他可用信息,该设备被配置为确定即将使用的推断。 基于即将使用的推断的确定,可以将该设备配置为在一些实现中为电源管理应用或情境感知应用提供信息。

    HALF STEP FREQUENCY FEATURE FOR RELIABLE MOTION CLASSIFICATION
    9.
    发明申请
    HALF STEP FREQUENCY FEATURE FOR RELIABLE MOTION CLASSIFICATION 有权
    用于可靠运动分类的半步进频率特征

    公开(公告)号:US20150066422A1

    公开(公告)日:2015-03-05

    申请号:US14476482

    申请日:2014-09-03

    Abstract: Disclosed is an apparatus and method for classifying a motion state of a mobile device. In one embodiment, accelerometer data representing acceleration components along orthogonal x, y, and z axes of the mobile device are collected. A presence or absence of a half-step frequency relationship between the accelerometer data is determined. Last, the motion state of the device is determined based at least in part on the presence or absence of the half-step frequency relationship.

    Abstract translation: 公开了一种用于对移动设备的运动状态进行分类的装置和方法。 在一个实施例中,收集表示沿着移动设备的正交x,y和z轴的加速度分量的加速度计数据。 确定加速度计数据之间是否存在半步频率关系。 最后,至少部分地基于半步频率关系的存在或不存在来确定设备的运动状态。

    ALWAYS-ON CAMERA SAMPLING STRATEGIES
    10.
    发明申请
    ALWAYS-ON CAMERA SAMPLING STRATEGIES 有权
    始终如一的摄像机采样策略

    公开(公告)号:US20140267799A1

    公开(公告)日:2014-09-18

    申请号:US13843201

    申请日:2013-03-15

    CPC classification number: H04N5/23245 H04N5/23216

    Abstract: Embodiments of the present invention are directed toward providing intelligent sampling strategies that make efficient use of an always-on camera. To do so, embodiments can utilize sensor information to determine contextual information regarding the mobile device and/or a user of the mobile device. A sampling rate of the always-on camera can then be modulated based on the contextual information.

    Abstract translation: 本发明的实施例旨在提供能够有效利用始终在线的相机的智能采样策略。 为此,实施例可以利用传感器信息来确定关于移动设备和/或移动设备的用户的上下文信息。 然后可以基于上下文信息来调制始终在线摄像机的采样率。

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