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公开(公告)号：US09565521B1
公开(公告)日：2017-02-07
申请号：US14826332
申请日：2015-08-14
Applicant: Samsung Electronics Co., Ltd.
Inventor： Vijay Srinivasan , Yannick Pellet , Abhishek Mukherji , Enamul Hoque
CPC classification number: H04W4/02 , G06Q10/04 , G06Q30/02 , G06Q30/0205 , G06Q50/06 , H04M1/72572 , H04M1/73 , H04W24/00
Abstract: A method and device for automatic semantic labeling of unlabeled places using activity recognition. A method includes determining at least one activity based on analyzing electronic device sensor data. Localization for the electronic device is performed to determine location for an unknown semantic place. An observed mapping between the at least one activity and the location for the unknown semantic place is determined. A typical mapping between the at least one activity and at least one semantic place is determined. Using the observed mapping and the typical mapping from one or more other electronic devices, the unknown semantic place is assigned with a semantic place label representing the at least one semantic place for identifying the unknown semantic place. A semantic place map is updated to include the semantic place label.
Abstract translation: 一种使用活动识别自动语义标注未标记场所的方法和装置。 一种方法包括基于分析电子设备传感器数据来确定至少一个活动。 执行电子设备的本地化以确定未知语义位置的位置。 确定至少一个活动与未知语义地点的位置之间的观察到的映射。 确定至少一个活动与至少一个语义地点之间的典型映射。 使用观察到的映射和来自一个或多个其他电子设备的典型映射，将未知语义位置分配有表示用于识别未知语义位置的至少一个语义位置的语义地方标签。 语义地图更新为包含语义地点标签。
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公开(公告)号：US20230055991A1
公开(公告)日：2023-02-23
申请号：US17674258
申请日：2022-02-17
Applicant: Samsung Electronics Co., Ltd.
Inventor： Yu Wang , Vijay Srinivasan , Hongxia Jin
IPC: G06F16/33 , G06F40/126 , G06F40/20 , G06F40/166 , G06F40/35
Abstract: A method includes receiving natural-language input from a user. The method also includes receiving, from an information source, one or more candidate recommendations as potential responses to the natural-language input. The method further includes determining, based on a similarity between the natural-language input and a selected candidate recommendation among the one or more candidate recommendations, whether to respond to the natural-language input with natural-language output that includes (i) the selected candidate recommendation or (ii) a query for additional user input. In addition, the method includes providing, based on the determination, the natural-language output to the user.
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公开(公告)号：US20190065993A1
公开(公告)日：2019-02-28
申请号：US15967327
申请日：2018-04-30
Applicant: Samsung Electronics Co., Ltd.
Inventor： Vijay Srinivasan , Christian Koehler , Hongxia Jin
Abstract: A method for action automation includes determining, using an electronic device, an action based on domain information. Activity patterns associated with the action are retrieved. For each activity pattern, a candidate action rule is determined. Each candidate action rule specifies one or more pre-conditions when the action occurs. One or more preferred candidate action rules are determined from multiple candidate action rules for automation of the action.
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公开(公告)号：US09863773B2
公开(公告)日：2018-01-09
申请号：US14574194
申请日：2014-12-17
Applicant: Samsung Electronics Co., Ltd.
Inventor： Yifei Jiang , Jun Yang , Vijay Srinivasan , Shalinder S. Sidhu , Danny R. Bennett
CPC classification number: G01C21/206 , G01S5/0252
Abstract: In one aspect, information of multiple anchor points is received and stored. The information of each anchor point includes Global Positioning System (GPS) data of a particular location and radio frequency (RF) data that was obtained at a device at the particular location. A geo coordinate is determined for an indoor location based on the RF data obtained at the indoor location and the information of the anchor points. Various embodiments pertain to software, systems, devices and methods relating to anchor points and/or the obtaining of a geo coordinate for a location.
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公开(公告)号：US20160080936A1
公开(公告)日：2016-03-17
申请号：US14488087
申请日：2014-09-16
Applicant: Samsung Electronics Co., Ltd.
Inventor： Kiran K. Rachuri , Vijay Srinivasan , Emmanuel Munguia-Tapia
CPC classification number: H04W12/06 , G06F21/31 , G06K9/00355 , G06K9/0055 , H04L63/0861 , H04L2463/082
Abstract: In some embodiments, computer implemented methods, systems, and non-transitory computer readable media determine a first comparison value based on a first comparison between a first sensor signature associated with first set of sensor data of a first device in a first context and a second sensor signature associated with second set of sensor data of a second device. The first comparison is associated with a first authentication type. It is determined whether the first comparison value satisfies a first threshold. It is determined that a user should be authenticated on the second device based on satisfaction of the first threshold.
Abstract translation: 在一些实施例中，计算机实现的方法，系统和非暂时计算机可读介质基于与第一上下文中的第一设备的第一传感器数据集合相关联的第一传感器签名与第二传感器签名的第二比较确定第一比较值 与第二设备的第二组传感器数据相关联的传感器签名。 第一个比较与第一个认证类型相关联。 确定第一比较值是否满足第一阈值。 确定用户应当基于第一阈值的满足在第二设备上被认证。
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Patent Agency Ranking
公开(公告)号：US20220147843A1
公开(公告)日：2022-05-12
申请号：US17096316
申请日：2020-11-12
Applicant: SAMSUNG ELECTRONICS CO., LTD.
Inventor： Dalkandura Arachchige Kalpa Shashika Silva Gunaratna , Vijay Srinivasan , Sandeep Nama , Christian Koehler , Hongxia Jin
IPC: G06N5/02 , G06T7/11 , G06F40/284 , G06F40/211 , G06N7/00 , H04N19/176
Abstract: Computer-based content understanding can include segmenting an image into a plurality of blocks, wherein each block includes textual information from the image. For each block of the plurality of blocks, encoded feature data is generated by encoding visual information of the block and visual information of one or more neighboring blocks from the plurality of blocks and encoded textual data is generated by encoding the textual information of the block and the textual information of the one or more neighboring blocks. Further, using an entity class prediction model, one or more tokens of the block are classified into one or more entity classes based on a combination of the encoded textual data and the encoded feature data. A plurality of entities can be extracted from the image based on the entity classes of the plurality of blocks.
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公开(公告)号：US20210279606A1
公开(公告)日：2021-09-09
申请号：US16813510
申请日：2020-03-09
Applicant: Samsung Electronics Co., Ltd.
Inventor： Vijay Srinivasan , Christian Koehler , Hongxia Jin
Abstract: Systems and methods are described for adding new attributes to entities of a knowledge base. A plurality of correlations may be identified between the new attribute and existing attributes of the entities using a rule-based model, such that attribute rules may be associated with each identified correlation exceeding a predetermined confidence threshold. An unstructured data model may then be applied to the knowledge base to identify unstructured data associated with each entity of the plurality of entities correlated to presence of the new attribute. Then a meta learner model may be applied to identify weights for each attribute rule and the identified unstructured data. After the weights have been set for the meta learner model, the meta learner model may then be applied to each entity in the knowledge base to accurately identify entities having the new attribute.
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公开(公告)号：US09743279B2
公开(公告)日：2017-08-22
申请号：US14488087
申请日：2014-09-16
Applicant: Samsung Electronics Co., Ltd.
Inventor： Kiran K. Rachuri , Vijay Srinivasan , Emmanuel Munguia-Tapia
CPC classification number: H04W12/06 , G06F21/31 , G06K9/00355 , G06K9/0055 , H04L63/0861 , H04L2463/082
Abstract: In some embodiments, computer implemented methods, systems, and non-transitory computer readable media determine a first comparison value based on a first comparison between a first sensor signature associated with first set of sensor data of a first device in a first context and a second sensor signature associated with second set of sensor data of a second device. The first comparison is associated with a first authentication type. It is determined whether the first comparison value satisfies a first threshold. It is determined that a user should be authenticated on the second device based on satisfaction of the first threshold.
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公开(公告)号：US20170048660A1
公开(公告)日：2017-02-16
申请号：US14826332
申请日：2015-08-14
Applicant: Samsung Electronics Co., Ltd.
Inventor： Vijay Srinivasan , Yannick Pellet , Abhishek Mukherji , Enamul Hoque
CPC classification number: H04W4/02 , G06Q10/04 , G06Q30/02 , G06Q30/0205 , G06Q50/06 , H04M1/72572 , H04M1/73 , H04W24/00
Abstract: A method and device for automatic semantic labeling of unlabeled places using activity recognition. A method includes determining at least one activity based on analyzing electronic device sensor data. Localization for the electronic device is performed to determine location for an unknown semantic place. An observed mapping between the at least one activity and the location for the unknown semantic place is determined. A typical mapping between the at least one activity and at least one semantic place is determined. Using the observed mapping and the typical mapping from one or more other electronic devices, the unknown semantic place is assigned with a semantic place label representing the at least one semantic place for identifying the unknown semantic place. A semantic place map is updated to include the semantic place label.
Abstract translation: 一种使用活动识别自动语义标注未标记场所的方法和装置。 一种方法包括基于分析电子设备传感器数据来确定至少一个活动。 执行电子设备的本地化以确定未知语义位置的位置。 确定至少一个活动与未知语义地点的位置之间的观察到的映射。 确定至少一个活动与至少一个语义地点之间的典型映射。 使用观察到的映射和来自一个或多个其他电子设备的典型映射，将未知语义位置分配有表示用于识别未知语义位置的至少一个语义位置的语义地方标签。 语义地图更新为包含语义地点标签。
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20.发明授权Automatic fixture monitoring using mobile location and sensor data with smart meter data 有权使用移动位置和传感器数据进行自动夹具监测，并配备智能仪表数公开(公告)号：US09417092B2
公开(公告)日：2016-08-16
申请号：US14262601
申请日：2014-04-25
Applicant: Samsung Electronics Co., Ltd.
Inventor： Vijay Srinivasan , Emmanuel M. Tapia
CPC classification number: G01D4/002 , H04L67/12 , H04L67/125 , Y02B70/343 , Y02B90/241 , Y02B90/245 , Y04S20/32 , Y04S20/34 , Y04S20/38 , Y04S20/40
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。
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