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    • 2. 发明申请
    • CONTEXT EMOTION DETERMINATION SYSTEM
    • 背景情绪测定系统
    • US20140280529A1
    • 2014-09-18
    • US13798367
    • 2013-03-13
    • GENERAL INSTRUMENT CORPORATION
    • Paul C. DavisMir F. AliJianguo LiDale W. RussellDi You
    • H04L29/08
    • H04L67/22A61B5/0022A61B5/165A61B5/6898G06F17/21G06F17/27G06F17/2785G06F19/00G06F2203/011G16H40/67
    • Systems, methods, and devices for determining contexts and determining associated emotion profiles using information received from multiple emotion sensor enabled electronic devices, are disclosed. Contexts can be defined by a description of spatial and/or temporal components. Such contexts can be arbitrarily defined using semantically meaningful and absolute descriptions of times and locations. Emotion sensor data is associated with or includes context data that describes the circumstances under which the data was determined. The emotion sensor data can include emotion sensor readings that are implicit indications of an emotion for the context. The sensor data can also include user reported data with explicit descriptors of an emotion for the context. The emotion sensor data can be filtered by context data according a selected context. The filtered sensor data can then be analyzed to determine an emotion profile for the context that can be output to one or more users or entities.
    • 公开了用于使用从多个启用情感传感器的电子设备接收的信息确定上下文并确定相关情绪简档的系统,方法和设备。 可以通过描述空间和/或时间分量来定义上下文。 这种上下文可以使用语义有意义和绝对的时间和位置描述来任意定义。 情感传感器数据与描述数据确定的情况相关联或包含上下文数据。 情绪传感器数据可以包括情绪传感器读数,这些情绪是上下文感觉的隐含指示。 传感器数据还可以包括具有用于上下文的情绪的显式描述符的用户报告数据。 情绪传感器数据可以根据所选上下文的上下文数据进行过滤。 然后可以分析经滤波的传感器数据,以确定可以输出到一个或多个用户或实体的上下文的情绪简档。
    • 3. 发明申请
    • CONTEXT HEALTH DETERMINATION SYSTEM
    • 上下文健康测定系统
    • US20140266782A1
    • 2014-09-18
    • US13798337
    • 2013-03-13
    • GENERAL INSTRUMENT CORPORATION
    • Di YouMir F. AliPaul C. DavisJianguo LiDale W. Russell
    • G08C19/16
    • G08C19/16G06F19/00G16H50/80
    • Systems, methods, and devices for determining contexts and determining associated health profiles using information received from multiple health sensor enabled electronic devices, are disclosed. Contexts can be defined by a description of spatial and/or temporal components. Such contexts can be arbitrarily defined using semantically meaningful and absolute descriptions of time and location. Health sensor data is associated with or includes context data that describes the circumstances under which the data was determined. The health sensor data can include health sensor readings that are implicit indications of health for the context. The sensor data can also include user reported data with explicit descriptions of health for the context. The health sensor data can be filtered by context data according a selected context. The filtered sensor data can then be analyzed to determine a health profile for the context that can be output to one or more users or entities.
    • 公开了用于使用从具有多个健康传感器的电子设备接收到的信息确定上下文并确定相关健康简档的系统,方法和设备。 可以通过描述空间和/或时间分量来定义上下文。 这种上下文可以使用语义有意义和绝对的时间和位置描述来任意定义。 健康传感器数据与描述数据确定的环境相关联或包含上下文数据。 健康传感器数据可以包括健康传感器读数,这些内容是上下文的健康的隐含指示。 传感器数据还可以包括用户报告的数据,其具有关于上下文的健康的明确描述。 健康传感器数据可以根据所选上下文的上下文数据进行过滤。 然后可以分析经过滤的传感器数据,以确定可以输出到一个或多个用户或实体的上下文的健康状况。
    • 4. 发明授权
    • Context demographic determination system
    • 情境人口统计系统
    • US09135248B2
    • 2015-09-15
    • US13798391
    • 2013-03-13
    • General Instrument Corporation
    • Jianguo LiMir F. AliPaul C. DavisDale W. RussellDi You
    • G06F17/30
    • G06F17/30G06Q30/02
    • Systems, methods, and devices for determining contexts and determining associated demographic profiles using information received from multiple demographic sensor enabled electronic devices, are disclosed. Contexts can be defined by a description of spatial and/or temporal components. Such contexts can be arbitrarily defined using semantically meaningful and absolute descriptions of time and location. Demographic sensor data is associated with or includes context data that describes the circumstances under which the data was determined. The demographic sensor data can include demographic sensor readings that are implicit indications of a demographic for the context. The sensor data can also include user reported data with explicit descriptions of a demographic for the context. The demographic sensor data can be filtered by context data according a selected context. The filtered sensor data can then be analyzed to determine a demographic profile for the context that can be output to one or more users or entities.
    • 公开了用于使用从多个受人口统计传感器启用的电子设备接收的信息来确定上下文并确定相关人口统计特征的系统,方法和设备。 可以通过描述空间和/或时间分量来定义上下文。 这种上下文可以使用语义有意义和绝对的时间和位置描述来任意定义。 人口统计传感器数据与描述数据被确定的情况相关联或包括上下文数据。 人口统计传感器数据可以包括人口学传感器读数,其是针对上下文的人口统计学的隐含指示。 传感器数据还可以包括具有用于上下文的人口统计的显式描述的用户报告数据。 人口统计传感器数据可以根据所选上下文的上下文数据进行过滤。 然后可以分析经过滤的传感器数据,以确定可以输出到一个或多个用户或实体的上下文的人口统计特征。
    • 5. 发明申请
    • CONTEXT DEMOGRAPHIC DETERMINATION SYSTEM
    • 背景人口学决定系统
    • US20140280138A1
    • 2014-09-18
    • US13798391
    • 2013-03-13
    • GENERAL INSTRUMENT CORPORATION
    • Jianguo LiMir F. AliPaul C. DavisDale W. RussellDi You
    • G06F17/30
    • G06F17/30G06Q30/02
    • Systems, methods, and devices for determining contexts and determining associated demographic profiles using information received from multiple demographic sensor enabled electronic devices, are disclosed. Contexts can be defined by a description of spatial and/or temporal components. Such contexts can be arbitrarily defined using semantically meaningful and absolute descriptions of time and location. Demographic sensor data is associated with or includes context data that describes the circumstances under which the data was determined. The demographic sensor data can include demographic sensor readings that are implicit indications of a demographic for the context. The sensor data can also include user reported data with explicit descriptions of a demographic for the context. The demographic sensor data can be filtered by context data according a selected context. The filtered sensor data can then be analyzed to determine a demographic profile for the context that can be output to one or more users or entities.
    • 公开了用于使用从多个受人口统计传感器启用的电子设备接收的信息来确定上下文并确定相关人口统计特征的系统,方法和设备。 可以通过描述空间和/或时间分量来定义上下文。 这种上下文可以使用语义有意义和绝对的时间和位置描述来任意定义。 人口统计传感器数据与描述数据被确定的情况相关联或包括上下文数据。 人口统计传感器数据可以包括人口学传感器读数,其是针对上下文的人口统计学的隐含指示。 传感器数据还可以包括具有用于上下文的人口统计的显式描述的用户报告数据。 人口统计传感器数据可以根据所选上下文的上下文数据进行过滤。 然后可以分析经过滤的传感器数据,以确定可以输出到一个或多个用户或实体的上下文的人口统计特征。
    • 6. 发明授权
    • Inferring attribute and item preferences
    • 推断属性和项目首选项
    • US09195945B2
    • 2015-11-24
    • US13793650
    • 2013-03-11
    • GENERAL INSTRUMENT CORPORATION
    • Jianguo LiuMir F. AliPaul C. DavisGuohua Hao
    • G06N5/04
    • G06N5/04G06F17/30029G06F17/30761G06F17/30766G06F17/30828G06Q30/02
    • User-preference datapoints are collected. At least some of these datapoints are associated with user-preference information about an item (e.g., a movie), and some of these datapoints are associated with user-preference information about an attribute (e.g., a movie genre or an actor). A profile of the user is created based, at least in part, on these datapoints. When a new datapoint is collected, the new datapoint is assigned a user-preference “score.” If, for example, the new datapoint does not come with an explicit user-preference rating, then the score is based on related item and attribute datapoints already in the profile. Depending upon the relationship of the new datapoint to the already existing datapoints, a confidence value is assigned to the user-preference score. The profile is then updated with the new datapoint along with its assigned score and confidence rating. The user profile can be used in performing any number of actions.
    • 收集用户偏好数据点。 这些数据点中的至少一些与关于项目(例如,电影)的用户偏好信息相关联,并且这些数据点中的一些与关于属性(例如,电影类型或演员)的用户偏好信息相关联。 至少部分地基于这些数据点创建用户的简档。 当收集新的数据点时,将为新的数据点分配用户偏好“分数”。例如,如果新的数据点不具有明确的用户偏好评级,则该分数基于相关项目和属性数据点 已经在配置文件中。 根据新数据点与现有数据点的关系,将置信度值分配给用户偏好分数。 然后,使用新的数据点更新配置文件以及其分配的分数和置信度。 用户配置文件可用于执行任何数量的操作。
    • 7. 发明申请
    • INFERRING ATTRIBUTE AND ITEM PREFERENCES
    • 感染属性和项目优先权
    • US20140258204A1
    • 2014-09-11
    • US13793650
    • 2013-03-11
    • GENERAL INSTRUMENT CORPORATION
    • Jianguo LiuMir F. AliPaul C. DavisGuohua Hao
    • G06N5/02
    • G06N5/04G06F17/30029G06F17/30761G06F17/30766G06F17/30828G06Q30/02
    • User-preference datapoints are collected. At least some of these datapoints are associated with user-preference information about an item (e.g., a movie), and some of these datapoints are associated with user-preference information about an attribute (e.g., a movie genre or an actor). A profile of the user is created based, at least in part, on these datapoints. When a new datapoint is collected, the new datapoint is assigned a user-preference “score.” If, for example, the new datapoint does not come with an explicit user-preference rating, then the score is based on related item and attribute datapoints already in the profile. Depending upon the relationship of the new datapoint to the already existing datapoints, a confidence value is assigned to the user-preference score. The profile is then updated with the new datapoint along with its assigned score and confidence rating. The user profile can be used in performing any number of actions.
    • 收集用户偏好数据点。 这些数据点中的至少一些与关于项目(例如,电影)的用户偏好信息相关联,并且这些数据点中的一些与关于属性(例如,电影类型或演员)的用户偏好信息相关联。 至少部分地基于这些数据点创建用户的简档。 当收集新的数据点时,将为新的数据点分配用户偏好“分数”。例如,如果新的数据点不具有明确的用户偏好评级,则该分数基于相关项目和属性数据点 已经在配置文件中。 根据新数据点与现有数据点的关系,将置信度值分配给用户偏好分数。 然后,使用新的数据点更新配置文件以及其分配的分数和置信度。 用户配置文件可用于执行任何数量的操作。
    • 8. 发明申请
    • SYSTEM AND METHOD FOR ACTIVITY RECOGNITION
    • 用于活动识别的系统和方法
    • US20140161322A1
    • 2014-06-12
    • US13723141
    • 2012-12-20
    • GENERAL INSTRUMENT CORPORATIONCARNEGIE MELLON UNIVERSITY
    • Heng-Tze ChengPaul C. DavisJianguo LiDi You
    • G06T7/20
    • A63B24/00G06K9/00G06K9/00342
    • A method for automatic recognition of human activity is provided and includes the steps of decomposing human activity into a plurality of fundamental component attributes needed to perform an activity and defining ontologies of fundamental component attributes from the plurality of the fundamental component attributes identified during the decomposing step for each of a plurality of different targeted activities. The method also includes the steps of converting a data stream captured during a performance of an activity performed by a human into a sequence of fundamental component attributes and classifying the performed activity as one of the plurality of different targeted activities based on a closest match of the sequence of fundamental component attributes obtained during the converting step to at least a part of one of the ontologies of fundamental component attributes defined during the defining step. A system for performing the method is also disclosed.
    • 提供了一种用于人类活动的自动识别的方法,包括以下步骤:将人类活动分解为执行活动所需的多个基本组件属性,并从分解步骤中识别的多个基本组件属性定义基本组件属性的本体 针对多个不同目标活动中的每一个。 该方法还包括以下步骤:将由人执行的活动期间捕获的数据流转换为基本组件属性序列,并将所执行的活动分类为多个不同目标活动之一,基于最接近的匹配 在转换步骤期间获得的基本分量属性的序列到在定义步骤期间定义的基本分量属性本体中的一个本体的至少一部分。 还公开了一种用于执行该方法的系统。