公开(公告)号：US20140269363A1

公开(公告)日：2014-09-18

申请号：US13839483

申请日：2013-03-15

Applicant: QUALCOMM INCORPORATED

Inventor： Jin Won Lee ,  Shankar Sadasivam ,  Disha Ahuja ,  Carlos M. Puig

IPC: H04W24/08 ,  H04W8/22

CPC classification number: H04W48/04 ,  G01C22/006 ,  G01S5/0205 ,  H04W4/025 ,  H04W4/21 ,  H04W64/006 ,  Y02D70/142 ,  Y02D70/144 ,  Y02D70/146 ,  Y02D70/164

Abstract: System and methods are disclosed to use information available on the state of mobile devices in a heuristics-based approach to improve motion state detection. In one or more embodiments, information on the WiFi connectivity of mobile devices may be used to improve the detection of the in-transit state. The WiFi connectivity information may be used with sensor signal such as accelerometer signals in a motion classifier to reduce the false positives of the in-transit state. In one or more embodiments, information that a mobile device is connected to a WiFi access point (AP) may be used as heuristics to reduce the probability of falsely classifying the mobile device in the in-transit state when mobile device is actually in the hand of a relatively stationary user. Information on the battery charging state or the wireless connectivity of the mobile devices may also be used to improve the detection of in-transit state.

Abstract translation: 公开了系统和方法以基于启发式的方法来使用可用于移动设备状态的信息来改善运动状态检测。 在一个或多个实施例中，可以使用关于移动设备的WiFi连接性的信息来改善在过境状态的检测。 WiFi连接信息可以与运动分类器中的诸如加速度计信号的传感器信号一起使用，以减少运输中状态的假阳性。 在一个或多个实施例中，移动设备连接到WiFi接入点（AP）的信息可以被用作启发式方法，以减少当移动设备实际上在手中时在移动设备中错误地分类移动设备的概率 的相对固定的用户。 有关电池充电状态或移动设备的无线连接性的信息也可用于改善在过境状态的检测。

公开(公告)号：US20140156659A1

公开(公告)日：2014-06-05

申请号：US13784229

申请日：2013-03-04

Applicant: QUALCOMM INCORPORATED

Inventor： Leonard Henry Grokop ,  Shankar Sadasivam ,  Edward Harrison Teague

IPC: G06F17/30

CPC classification number: G06F17/30598 ,  H04M1/72563 ,  H04M1/72569 ,  H04M2250/12

Abstract: System and methods for performing context inference in a computing device are disclosed. In one embodiment, a method of performing context inference includes: determining, at a computing device, a first context class using context-related data from at least one data source associated with a mobile device; and determining, at the mobile device, a fusion class based on the first context class, the fusion class being associated with at least one characteristic that is common to the first context class and a second context class that is different from the first context class.

Abstract translation: 公开了用于在计算设备中执行上下文推断的系统和方法。 在一个实施例中，执行上下文推断的方法包括：使用与移动设备相关联的至少一个数据源的上下文相关数据在计算设备处确定第一上下文类; 以及在所述移动设备处，基于所述第一上下文类确定所述融合类，所述融合类与所述第一上下文类共同的至少一个特征和与所述第一上下文类不同的第二上下文类相关联。