PREDICTING USER ACTIONS ON UBIQUITOUS DEVICES

    公开(公告)号:US20200020326A1

    公开(公告)日:2020-01-16

    申请号:US16235983

    申请日:2018-12-28

    Abstract: A method includes that for each model from multiple models, evaluating a model prediction accuracy based on a dataset of a user over a first time duration. The dataset includes a sequence of actions with corresponding contexts based on electronic device interactions. Each model is trained to predict a next action at a time point within the first time duration, based on a first behavior sequence over a first time period from the dataset before the time point, a second behavior sequence over a second time period from the dataset before the time point, and context at the time point. A model is selected from the multiple models based on its model prediction accuracy for the user based on a domain. An action to be initiated at a later time using an electronic device of the user is recommended using the selected model during a second time duration.

    AUTOMATIC FIXTURE MONITORING USING MOBILE LOCATION AND SENSOR DATA WITH SMART METER DATA
    22.
    发明申请
    AUTOMATIC FIXTURE MONITORING USING MOBILE LOCATION AND SENSOR DATA WITH SMART METER DATA 有权
    使用智能仪表数据的移动位置和传感器数据进行自动检测

    公开(公告)号:US20150308856A1

    公开(公告)日:2015-10-29

    申请号:US14262601

    申请日:2014-04-25

    Abstract: A method and system for monitoring resource information and user activity. The method includes acquiring one or more data streams from one or more resource meters and one or more electronic device sensors. Discrete events are computed from each data stream. A sequence of discrete sensor-meter event itemsets are extracted based on the events. Frequent sensor-meter event itemsets are discovered from the sequence of discrete event itemsets that occur together, and a frequency of occurrence of each frequent co-occurrence itemset is discovered. Rising sensor-meter event itemsets and falling sensor-meter event itemsets are matched based on appliance state models and the frequency of occurrence of each sensor-meter event itemset. Each individual fixture is identified. Each fixture cluster is classified to a fixture category. Based on the matched fixture events, fixture clusters, and categories, resource usage information and user activities are determined for each fixture usage event identified.

    Abstract translation: 监控资源信息和用户活动的方法和系统。 该方法包括从一个或多个资源计量器和一个或多个电子设备传感器获取一个或多个数据流。 从每个数据流计算离散事件。 基于事件提取离散传感器事件项集的序列。 从发生在一起的离散事件项集的序列中发现频繁的传感器事件项目集,并且发现每个频繁共存项集的发生频率。 根据设备状态模型和每个传感器仪表事件项目集的出现频率,匹配上升的传感器计数器事件项目集和下降的传感器事件项目集。 识别每个单独的夹具。 每个灯具集群分类为灯具类别。 基于匹配的夹具事件,固定装置集群和类别,为所识别的每个夹具使用事件确定资源使用信息和用户活动。

    TWO-PHASE POWER-EFFICIENT ACTIVITY RECOGNITION SYSTEM FOR MOBILE DEVICES
    23.
    发明申请
    TWO-PHASE POWER-EFFICIENT ACTIVITY RECOGNITION SYSTEM FOR MOBILE DEVICES 审中-公开
    用于移动设备的两相功率效能识别系统

    公开(公告)号:US20140038674A1

    公开(公告)日:2014-02-06

    申请号:US13902683

    申请日:2013-05-24

    CPC classification number: H04W52/0251 Y02D70/00 Y02D70/142

    Abstract: An activity recognition system for an electronic device comprising at least one sensor and a two-phase activity recognition module. The sensors capture data relating to user activity. The activity recognition application module identifies a user activity based on data captured by the sensors, and dynamically controls power consumption of the activity recognition module based on the user activity identified.

    Abstract translation: 一种用于电子设备的活动识别系统,包括至少一个传感器和两相活动识别模块。 传感器捕获与用户活动有关的数据。 活动识别应用模块基于由传感器捕获的数据识别用户活动,并且基于所识别的用户活动来动态地控制活动识别模块的功率消耗。

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