公开(公告)号：US09646144B2

公开(公告)日：2017-05-09

申请号：US14142795

申请日：2013-12-28

Applicant: Intel Corporation

Inventor： Francis M. Tharappel ,  Saurin S. Shah ,  Lakshman Krishnamurthy ,  Saurabh Dadu

IPC: G06F21/00 ,  G06F21/32 ,  H04L9/32 ,  G06F21/41 ,  H04W12/08 ,  H04W12/06 ,  G06F21/35 ,  G06F21/62 ,  H04L29/06

Abstract: Particular embodiments described herein provide for a wearable electronic device with a biometric sensor and logic. At least a portion of the logic is implemented in hardware. The logic is configured to receive input data indicative of biometric input and attempt to authenticate the input data based, at least in part, on at least one biometric credential of an authorized user. The logic is configured to establish a wireless connection to a smart device, determine whether the smart device is included in a trust group of one or more smart devices, and send a communication to unlock the smart device when the input data is successfully authenticated and when the trust group includes the smart device.

公开(公告)号：US09563855B2

公开(公告)日：2017-02-07

申请号：US14318555

申请日：2014-06-27

Applicant: Intel Corporation

Inventor： Xue Yang ,  Lakshman Krishnamurthy ,  Lama Nachman

IPC: G06N99/00 ,  G06N5/04

CPC classification number: G06N99/005 ,  G06F1/163 ,  G06N3/0454 ,  G06N3/08

Abstract: Systems and methods may provide for using one or more generic classifiers to generate self-training data based on a first plurality of events associated with a device, and training a personal classifier based on the self-training data. Additionally, the one or more generic classifiers and the personal classifier may be used to generate validation data based on a second plurality of events associated with the device. In one example, the personal classifier is substituted for the one or more generic classifiers if the validation data indicates that the personal classifier satisfies a confidence condition relative to the one or more generic classifiers.

Abstract translation: 系统和方法可以提供使用一个或多个通用分类器基于与设备相关联的第一多个事件来生成自训练数据，以及基于自训练数据训练个人分类器。 另外，一个或多个通用分类器和个人分类器可以用于基于与设备相关联的第二多个事件来生成验证数据。 在一个示例中，如果验证数据指示个人分类器相对于一个或多个通用分类器满足置信条件，则个人分类器被替换为一个或多个通用分类器。

公开(公告)号：US20160379251A1

公开(公告)日：2016-12-29

申请号：US14752471

申请日：2015-06-26

Applicant: Intel Corporation

Inventor： Addicam V. Sanjay ,  Archana Rajendran ,  Jose A. Avalos ,  Lakshman Krishnamurthy ,  Mary C. Murphy-Hoye ,  Miriam Daniel ,  Rajnish Maini

IPC: G06Q30/02 ,  H04W4/02 ,  H04W4/00 ,  G06Q50/00 ,  G06F17/30

CPC classification number: G06Q30/0255 ,  G06F16/9535 ,  G06Q30/0261 ,  G06Q30/0267 ,  G06Q30/0269 ,  G06Q50/01 ,  H04W4/029 ,  H04W4/80

Abstract: Disclosed herein is a computer system for rendering targeted advertisements. The computer system includes a Web crawling module that generates product information based on product reviews obtained from product review Websites. The computer system also includes a content management module that receives audience metrics and user interest data from a digital sign. The audience metrics describe features of people in the vicinity of the digital sign, and the user interest data is received from a mobile device in the vicinity of the digital sign. The computer system also includes a data miner to correlate the product information, the user interest data, and the audience metrics to identify an advertisement likely to appeal to the user of the mobile device.

Abstract translation: 这里公开了一种用于呈现目标广告的计算机系统。 计算机系统包括一个Web爬行模块，可根据从产品评论网站获得的产品评估产生产品信息。 计算机系统还包括内容管理模块，其从数字符号接收观众指标和用户兴趣数据。 观众指标描述数字符号附近的人的特征，并且从数字标牌附近的移动设备接收用户感兴趣的数据。 计算机系统还包括数据挖掘机，用于将产品信息，用户兴趣数据和受众度量相关联，以识别可能吸引移动设备的用户的广告。

公开(公告)号：US20160283783A1

公开(公告)日：2016-09-29

申请号：US14671227

申请日：2015-03-27

Applicant: Intel Corporation

Inventor： Xue Yang ,  Sridhar G. Sharma ,  Prasanna Singamsetty ,  Lakshman Krishnamurthy ,  Ke Ding

IPC: G06K9/00 ,  G06K9/62

CPC classification number: G06K9/00335 ,  G06F3/01 ,  G06K9/00342 ,  G06K9/6202 ,  G06K9/6267 ,  G06N3/0454

Abstract: A method is described including storing reference vector data corresponding to user gestures at a plurality of neurons at pattern matching hardware, receiving real time signals from the sensor array and performing gesture recognition using the pattern matching hardware to compare incoming vector data corresponding to the real time signals with the reference vector data.

Abstract translation: 描述了一种方法，其包括在模式匹配硬件处在多个神经元处存储与用户手势相对应的参考矢量数据，从传感器阵列接收实时信号，并使用模式匹配硬件来执行手势识别，以对比实时的输入矢量数据 信号与参考矢量数据。