公开(公告)号：US20200210472A1

公开(公告)日：2020-07-02

申请号：US16696854

申请日：2019-11-26

Applicant: Intel Corporation

Inventor： BARNAN DAS ,  MAYURESH M. VARERKAR ,  NARAYAN BISWAL ,  STANLEY J. BARAN ,  GOKCEN CILINGIR ,  NILESH V. SHAH ,  ARCHIE SHARMA ,  SHERINE ABDELHAK ,  PRANEETHA KOTHA ,  NEELAY PANDIT ,  JOHN C. WEAST ,  MIKE B. MACPHERSON ,  DUKHWAN KIM ,  LINDA L. HURD ,  ABHISHEK R. APPU ,  ALTUG KOKER ,  JOYDEEP RAY

IPC: G06F16/583 ,  G06F16/783 ,  G06K9/00 ,  G06K9/62

Abstract: A mechanism is described for facilitating recognition, reidentification, and security in machine learning at autonomous machines. A method of embodiments, as described herein, includes facilitating a camera to detect one or more objects within a physical vicinity, the one or more objects including a person, and the physical vicinity including a house, where detecting includes capturing one or more images of one or more portions of a body of the person. The method may further include extracting body features based on the one or more portions of the body, comparing the extracted body features with feature vectors stored at a database, and building a classification model based on the extracted body features over a period of time to facilitate recognition or reidentification of the person independent of facial recognition of the person.

公开(公告)号：US20160174620A1

公开(公告)日：2016-06-23

申请号：US14582018

申请日：2014-12-23

Applicant: Intel Corporation

Inventor： JOHN C. WEAST ,  WENDY MARCH ,  ERIC LEWALLEN ,  CORY J. BOOTH

IPC: A41D1/00 ,  G01B21/18 ,  A41D1/02 ,  A41D1/04 ,  A41B9/00 ,  A41B1/08

CPC classification number: A41D1/002 ,  A41B1/08 ,  A41B9/00 ,  A41D1/02 ,  A61B5/0002 ,  A61B5/0024 ,  A61B5/01 ,  A61B5/02444 ,  A61B5/6804 ,  A61B5/6805 ,  G06F1/163 ,  G06F3/011

Abstract: Techniques to determine depth for a number of wearable devices, which may be worn in layers are provided. A wearable device can receive measurements from sensors to include sensors from a number of other wearable devices. Based on the sensor measurements, the wearable device can determine a depth for the wearable devices. The depth can include an indication of which wearable device is closest to a user, which wearable device is closest to an external environment, or the like.

Abstract translation: 提供了可以穿戴在层中的许多可穿戴装置的深度的技术。 可穿戴设备可以接收来自传感器的测量，以包括来自多个其他可穿戴设备的传感器。 基于传感器测量，可穿戴设备可以确定可穿戴设备的深度。 深度可以包括哪个可佩戴装置最接近用户的指示，哪个可穿戴装置最接近外部环境等。

公开(公告)号：US20230177817A1

公开(公告)日：2023-06-08

申请号：US17966067

申请日：2022-10-14

Applicant: Intel Corporation

Inventor： BARNAN DAS ,  MAYURESH M. VARERKAR ,  NARAYAN BISWAL ,  STANLEY J. BARAN ,  GOKCEN CILINGIR ,  NILESH V. SHAH ,  ARCHIE SHARMA ,  SHERINE ABDELHAK ,  PRANEETHA KOTHA ,  NEELAY PANDIT ,  JOHN C. WEAST ,  MIKE B. MACPHERSON ,  DUKHWAN KIM ,  LINDA L. HURD ,  ABHISHEK R. APPU ,  ALTUG KOKER ,  JOYDEEP RAY

IPC: G06V10/82 ,  G06F16/783 ,  G06F16/583 ,  G06V10/94 ,  G06V40/10 ,  G06V40/20 ,  G06F18/2413 ,  G06V10/764

CPC classification number: G06V10/82 ,  G06F16/784 ,  G06F16/5838 ,  G06V10/955 ,  G06V40/10 ,  G06V40/23 ,  G06V40/103 ,  G06F18/24143 ,  G06V10/764

Abstract: A mechanism is described for facilitating recognition, reidentification, and security in machine learning at autonomous machines. A method of embodiments, as described herein, includes facilitating a camera to detect one or more objects within a physical vicinity, the one or more objects including a person, and the physical vicinity including a house, where detecting includes capturing one or more images of one or more portions of a body of the person. The method may further include extracting body features based on the one or more portions of the body, comparing the extracted body features with feature vectors stored at a database, and building a classification model based on the extracted body features over a period of time to facilitate recognition or reidentification of the person independent of facial recognition of the person.

公开(公告)号：US20160142816A1

公开(公告)日：2016-05-19

申请号：US14546010

申请日：2014-11-18

Applicant: Intel Corporation

Inventor： JOHN C. WEAST ,  GLEN J. ANDERSON ,  GIUSEPPE RAFFA ,  DANIEL S. LAKE ,  KATHY YUEN ,  LENITRA M. DURHAM

IPC: H04R1/46 ,  G06Q20/40

CPC classification number: H04R1/46 ,  G06Q20/40145 ,  G07C9/00158 ,  G07C2009/00809 ,  H04R25/606 ,  H04R29/00

Abstract: Systems and methods may provide for sending a sound wave signal and measuring a body conduction characteristic of the sound wave signal. Additionally, a user authentication may be performed based at least in part on the body conduction characteristic. In one example, the body conduction characteristic includes one or more of a timing, a frequency or an amplitude of the sound wave signal after passing through one or more of bone or tissue.

Abstract translation: 系统和方法可以提供发送声波信号并测量声波信号的体导电特性。 此外，可以至少部分地基于身体传导特性来执行用户认证。 在一个示例中，身体传导特性包括通过一个或多个骨骼或组织之后的声波信号的定时，频率或振幅中的一个或多个。

公开(公告)号：US20220086566A1

公开(公告)日：2022-03-17

申请号：US17486518

申请日：2021-09-27

Applicant: Intel Corporation

Inventor： JOHN C. WEAST ,  GLEN J. ANDERSON ,  GIUSEPPE RAFFA ,  DANIEL S. LAKE ,  KATHY YUEN ,  LENITRA M. DURHAM

IPC: H04R1/46 ,  G06Q20/40 ,  H04R25/00

Abstract: Systems and methods may provide for sending a sound wave signal and measuring a body conduction characteristic of the sound wave signal. Additionally, a user authentication may be performed based at least in part on the body conduction characteristic. In one example, the body conduction characteristic includes one or more of a timing, a frequency or an amplitude of the sound wave signal after passing through one or more of bone or tissue.

公开(公告)号：US20160134609A1

公开(公告)日：2016-05-12

申请号：US14536900

申请日：2014-11-10

Applicant: Intel Corporation

Inventor： LENITRA M. DURHAM ,  DEEPAK S. VEMBAR ,  JOHN C. WEAST ,  CORY J. BOOTH

IPC: H04L29/06

CPC classification number: H04L63/08 ,  H04L9/088 ,  H04L9/3231 ,  H04L63/0861 ,  H04L63/105

Abstract: The present application is directed to user authentication confidence based on multiple devices. A user may possess at least one device. The device may determine a device confidence level that the identity of the user is authentic based on at least data collected by a data collection module in the device. For example, a confidence module in the device may receive the data from the data collection module, determine a quality corresponding to the data and determine the device confidence level based on the quality. If the user possesses two or more devices, at least one of the devices may collect device confidence levels from other devices to determine a total confidence level. For example, a device may authenticate the other devices and then receive device confidence levels for use in determining the total confidence level, which may be used to set an operational mode in a device or system.

Abstract translation: 本申请涉及基于多个设备的用户认证置信度。 用户可以拥有至少一个设备。 该设备可以至少基于由设备中的数据收集模块收集的数据来确定用户的身份是真实的设备置信度。 例如，设备中的置信模块可以从数据收集模块接收数据，确定与数据相对应的质量，并基于质量确定设备置信度。 如果用户拥有两个或更多个设备，则至少一个设备可以从其他设备收集设备置信水平以确定总置信水平。 例如，设备可以认证其他设备，然后接收设备置信水平，以用于确定总置信水平，其可用于设置设备或系统中的操作模式。