RETROACTIVE CHECK-INS BASED ON LEARNED LOCATIONS TO WHICH THE USER HAS TRAVELED
    51.
    发明申请
    RETROACTIVE CHECK-INS BASED ON LEARNED LOCATIONS TO WHICH THE USER HAS TRAVELED 有权
    基于用户行进的学习位置的回溯检查

    公开(公告)号:US20150264518A1

    公开(公告)日:2015-09-17

    申请号:US14207132

    申请日:2014-03-12

    Applicant: APPLE INC.

    Abstract: A mobile device enables its user to retroactively “check in,” on social media, to locations to which the device has previously been. The mobile device automatically tracks the locations to which it goes during some time interval. As the mobile device goes to each location, the mobile device stores data that specifies that location. Following the time interval, and potentially in response to a request by the device's user to view the locations previously visited, the mobile device presents a list of at least some of the locations on its display. The device's user can select one or more of the presented locations. The selection of a location causes the mobile device to post, to an Internet-based social media service, information pertaining to the selected location. For example, such information can indicate that the device's user had been at the selected location.

    Abstract translation: 移动设备使其用户能够在社交媒体上追溯地“检入”到设备之前所在的位置。 移动设备在一段时间间隔内自动跟踪它进入的位置。 随着移动设备到达每个位置,移动设备存储指定该位置的数据。 在时间间隔之后,并且潜在地响应于设备用户查看先前访问的位置的请求,移动设备在其显示器上呈现至少一些位置的列表。 设备的用户可以选择一个或多个所呈现的位置。 选择位置使得移动设备向基于因特网的社交媒体服务发布与所选择的位置有关的信息。 例如,这样的信息可以指示设备的用户已经在所选择的位置。

    Tiered delivery of location data
    52.
    发明授权
    Tiered delivery of location data 有权
    分层交付位置数据

    公开(公告)号:US09071937B2

    公开(公告)日:2015-06-30

    申请号:US13756452

    申请日:2013-01-31

    Applicant: Apple Inc.

    Abstract: Techniques of delivering location data are described. A location server can receive, from a mobile device, a request for location data for determining a location of the mobile device at a venue. The request can include an estimated location of the mobile device. The location server can provide to the mobile device coarse location data for each venue that is located within a threshold distance to the estimated location of the mobile device. The coarse location data can include a list of coarse tiles at each venue, and parameters of a probability distribution function for determining in which tile of the venue the mobile device is located based on signals detected by the mobile device. The location server can the provide location fingerprint data associated with the tile and neighboring tiles to the mobile device. The mobile can use the location fingerprint data to determine a more detailed location.

    Abstract translation: 描述了传送位置数据的技术。 位置服务器可以从移动设备接收用于确定移动设备在场地的位置的位置数据的请求。 该请求可以包括移动设备的估计位置。 位置服务器可以向移动设备提供位于距移动设备的估计位置的阈值距离内的每个场所的粗略位置数据。 粗略位置数据可以包括每个场地的粗瓦片的列表,以及用于基于由移动设备检测到的信号来确定移动设备所在场所的哪个瓦片的概率分布功能的参数。 位置服务器可以向移动设备提供与瓦片和相邻瓦片相关联的位置指纹数据。 移动台可以使用位置指纹数据来确定更详细的位置。

    Location determination using a state space estimator
    53.
    发明授权
    Location determination using a state space estimator 有权
    使用状态空间估计器进行位置确定

    公开(公告)号:US08942725B2

    公开(公告)日:2015-01-27

    申请号:US13715183

    申请日:2012-12-14

    Applicant: Apple Inc.

    CPC classification number: H04W4/025 G01S5/0252 G01S5/0278 G01S5/0294

    Abstract: Methods, program products, and systems for using a location fingerprint database to determine a location of a mobile device are described. A mobile device can use location fingerprint data and readings of a sensor to obtain a location observation. The mobile device can use the location observation in a particle filter for determining a location of the mobile device at a venue. Using state of movement of the mobile device and a map of the venue, the mobile device can determine one or more candidate locations of the device. The mobile device can then update the candidate locations using a next observation, and determine a probability density function based on the candidate locations. The mobile device can then present to a user a most probable location as a current location of the device in the venue.

    Abstract translation: 描述了使用位置指纹数据库来确定移动设备的位置的方法,程序产品和系统。 移动设备可以使用位置指纹数据和传感器的读数来获得位置观察。 移动设备可以使用粒子滤波器中的位置观察来确定移动设备在场地的位置。 使用移动设备的移动状态和场所的地图,移动设备可以确定设备的一个或多个候选位置。 然后,移动设备可以使用下一个观察来更新候选位置,并且基于候选位置来确定概率密度函数。 然后,移动设备可以向用户呈现最可能的位置作为场地中设备的当前位置。

    Predictive User Assistance
    54.
    发明申请
    Predictive User Assistance 有权
    预测用户协助

    公开(公告)号:US20140364150A1

    公开(公告)日:2014-12-11

    申请号:US14022099

    申请日:2013-09-09

    Applicant: Apple Inc.

    Abstract: Techniques for predictive user assistance are described. A mobile device can learn movement patterns of the mobile device. The mobile device can construct a state model that is an abstraction of locations where the mobile device stayed for sufficient amount of time. The state model can include states representing the locations, and transitions representing movement of the mobile device between the locations. The mobile device can use the state model, a current location of the mobile device, and a current time to determine a predicted future location of the mobile device at a given future time. Based on the predicted location and the given future time, the mobile device can predict what assistance a user of the mobile device may request. The mobile device can then provide the assistance to the user before the given future time.

    Abstract translation: 描述用于预测性用户帮助的技术。 移动设备可以学习移动设备的移动模式。 移动设备可以构建状态模型,其是移动设备停留足够时间的位置的抽象。 状态模型可以包括表示位置的状态,以及表示移动设备在位置之间移动的转换。 移动设备可以使用状态模型,移动设备的当前位置以及当前时间来确定移动设备在给定未来时间的预测的未来位置。 基于预测的位置和给定的未来时间,移动设备可以预测移动设备的用户可以请求哪些帮助。 然后,移动设备可以在给定的未来时间之前向用户提供帮助。

    ALTITUDE ESTIMATION USING A PROBABILITY DENSITY FUNCTION
    55.
    发明申请
    ALTITUDE ESTIMATION USING A PROBABILITY DENSITY FUNCTION 审中-公开
    使用概率密度函数的海拔预测

    公开(公告)号:US20140364144A1

    公开(公告)日:2014-12-11

    申请号:US14468278

    申请日:2014-08-25

    Applicant: Apple Inc.

    Abstract: Methods, program products, and systems of location estimation using a probability density function are disclosed. In general, in one aspect, a server can estimate an effective altitude of a wireless access gateway using harvested data. The server can harvest location data from multiple mobile devices. The harvested data can include a location of each mobile device and an identifier of a wireless access gateway that is located within a communication range of the mobile device. The server can calculate an effective altitude of the wireless access gateway using a probability density function of the harvested data. The probability density function can be a sufficient statistic of the received set of location coordinates for calculating an effective altitude of the wireless access gateway. The server can send the effective altitude of the wireless access gateway to other mobile devices for estimating altitudes of the other mobile devices.

    Abstract translation: 公开了使用概率密度函数的方法,程序产品和位置估计系统。 通常,在一个方面,服务器可以使用收获的数据估计无线接入网关的有效高度。 服务器可以从多个移动设备收集位置数据。 所收获的数据可以包括每个移动设备的位置和位于移动设备的通信范围内的无线接入网关的标识符。 服务器可以使用收获的数据的概率密度函数来计算无线接入网关的有效高度。 概率密度函数可以是用于计算无线接入网关的有效高度的所接收的位置坐标集合的足够的统计量。 服务器可以将无线接入网关的有效高度发送到其他移动设备,以估计其他移动设备的高度。

    PROXIMITY FENCE
    56.
    发明申请
    PROXIMITY FENCE 有权
    临近性

    公开(公告)号:US20140274150A1

    公开(公告)日:2014-09-18

    申请号:US14191330

    申请日:2014-02-26

    Applicant: Apple Inc.

    Abstract: A proximity fence can be a location-agnostic fence defined by signal sources having no geographic location information. The proximity fence can correspond to a group of signal sources instead of a point location fixed to latitude and longitude coordinates. A signal source can be a radio frequency (RF) transmitter broadcasting a beacon signal. The beacon signal can include a payload that includes an identifier indicating a category to which the signal source belongs, and one or more labels indicating one or more subcategories to which the signal source belongs. The proximity fence defined by the group of signal sources can trigger different functions of application programs associated with the proximity fence on a mobile device, when the mobile device moves within the proximity fence and enters and exits different parts of the proximity fence corresponding to the different subcategories.

    Abstract translation: 靠近栅栏可以是由不具有地理位置信息的信号源定义的与位置无关的栅栏。 接近栅栏可以对应于一组信号源,而不是固定在纬度和经度坐标上的点位置。 信号源可以是广播信标信号的射频(RF)发射机。 信标信号可以包括包括指示信号源所属的类别的标识符和指示信号源所属的一个或多个子类别的一个或多个标签的有效载荷。 当移动设备在邻近围栏内移动并进入和离开对应于不同的邻近栅栏的不同部分时,由信号源组定义的邻近栅栏可以触发与移动设备上的邻近栅栏相关联的应用程序的不同功能 子类别。

    FEDERATED MOBILE DEVICE POSITIONING
    57.
    发明申请
    FEDERATED MOBILE DEVICE POSITIONING 有权
    联邦移动设备定位

    公开(公告)号:US20140247280A1

    公开(公告)日:2014-09-04

    申请号:US13783082

    申请日:2013-03-01

    Applicant: APPLE INC.

    CPC classification number: G06T19/006 G06F3/011

    Abstract: A user interface enables a user to calibrate the position of a three dimensional model with a real-world environment represented by that model. Using a device's sensor suite, the device's location and orientation is determined. A video image of the device's environment is displayed on the device's display. The device overlays a representation of an object from a virtual reality model on the video image. The position of the overlaid representation is determined based on the device's location and orientation. In response to user input, the device adjusts a position of the overlaid representation relative to the video image.

    Abstract translation: 用户界面使得用户能够用由该模型表示的现实环境来校准三维模型的位置。 使用设备的传感器套件,确定设备的位置和方向。 设备的环境的视频图像显示在设备的显示屏上。 该设备在视频图像上覆盖来自虚拟现实模型的对象的表示。 重叠表示的位置是根据设备的位置和方向来确定的。 响应于用户输入,设备调整相对于视频图像的重叠表示的位置。

    Altitude estimation using a probability density function
    58.
    发明授权
    Altitude estimation using a probability density function 有权
    使用概率密度函数进行海拔估计

    公开(公告)号:US08818411B2

    公开(公告)日:2014-08-26

    申请号:US13784664

    申请日:2013-03-04

    Applicant: Apple Inc.

    Abstract: Methods, program products, and systems of location estimation using a probability density function are disclosed. In general, in one aspect, a server can estimate an effective altitude of a wireless access gateway using harvested data. The server can harvest location data from multiple mobile devices. The harvested data can include a location of each mobile device and an identifier of a wireless access gateway that is located within a communication range of the mobile device. The server can calculate an effective altitude of the wireless access gateway using a probability density function of the harvested data. The probability density function can be a sufficient statistic of the received set of location coordinates for calculating an effective altitude of the wireless access gateway. The server can send the effective altitude of the wireless access gateway to other mobile devices for estimating altitudes of the other mobile devices.

    Abstract translation: 公开了使用概率密度函数的方法,程序产品和位置估计系统。 通常,在一个方面,服务器可以使用收获的数据估计无线接入网关的有效高度。 服务器可以从多个移动设备收集位置数据。 所收获的数据可以包括每个移动设备的位置和位于移动设备的通信范围内的无线接入网关的标识符。 服务器可以使用收获的数据的概率密度函数来计算无线接入网关的有效高度。 概率密度函数可以是用于计算无线接入网关的有效高度的所接收的位置坐标集合的足够的统计量。 服务器可以将无线接入网关的有效高度发送到其他移动设备,以估计其他移动设备的高度。

    LOCATION DETERMINATION USING FINGERPRINT DATA
    59.
    发明申请
    LOCATION DETERMINATION USING FINGERPRINT DATA 有权
    使用指纹数据进行位置确定

    公开(公告)号:US20140171114A1

    公开(公告)日:2014-06-19

    申请号:US13715266

    申请日:2012-12-14

    Applicant: APPLE INC.

    Abstract: Methods, program products, and systems for using a location fingerprint database to determine a location of a mobile device are described. A mobile device can use location fingerprint data received from a server to determine a location of the mobile device at the venue. The mobile device can obtain, from a sensor of the mobile device, a vector of sensor readings, each sensor reading can measure an environment variable, e.g., a signal received by the sensor from a signal source. The mobile device can perform a statistical match between the vector and the location fingerprint data. The mobile device can then estimate a current location of the mobile device based on the statistical match.

    Abstract translation: 描述了使用位置指纹数据库来确定移动设备的位置的方法,程序产品和系统。 移动设备可以使用从服务器接收的位置指纹数据来确定移动设备在场地的位置。 移动设备可以从移动设备的传感器获得传感器读数的向量,每个传感器读数可以测量环境变量,例如传感器从信号源接收到的信号。 移动设备可以执行向量和位置指纹数据之间的统计匹配。 然后,移动设备可以基于统计匹配来估计移动设备的当前位置。

    ALTITUDE ESTIMATION USING A PROBABILITY DENSITY FUNCTION
    60.
    发明申请
    ALTITUDE ESTIMATION USING A PROBABILITY DENSITY FUNCTION 有权
    使用概率密度函数的海拔预测

    公开(公告)号:US20130178230A1

    公开(公告)日:2013-07-11

    申请号:US13784664

    申请日:2013-03-04

    Applicant: APPLE INC.

    Abstract: Methods, program products, and systems of location estimation using a probability density function are disclosed. In general, in one aspect, a server can estimate an effective altitude of a wireless access gateway using harvested data. The server can harvest location data from multiple mobile devices. The harvested data can include a location of each mobile device and an identifier of a wireless access gateway that is located within a communication range of the mobile device. The server can calculate an effective altitude of the wireless access gateway using a probability density function of the harvested data. The probability density function can be a sufficient statistic of the received set of location coordinates for calculating an effective altitude of the wireless access gateway. The server can send the effective altitude of the wireless access gateway to other mobile devices for estimating altitudes of the other mobile devices.

    Abstract translation: 公开了使用概率密度函数的方法,程序产品和位置估计系统。 通常,在一个方面,服务器可以使用收获的数据估计无线接入网关的有效高度。 服务器可以从多个移动设备收集位置数据。 所收获的数据可以包括每个移动设备的位置和位于移动设备的通信范围内的无线接入网关的标识符。 服务器可以使用收获的数据的概率密度函数来计算无线接入网关的有效高度。 概率密度函数可以是用于计算无线接入网关的有效高度的所接收的位置坐标集合的足够的统计量。 服务器可以将无线接入网关的有效高度发送到其他移动设备,以估计其他移动设备的高度。

Patent Agency Ranking