公开(公告)号：US20160228010A1

公开(公告)日：2016-08-11

申请号：US14988629

申请日：2016-01-05

Applicant: Samsung Electronics Co., Ltd.

Inventor： Insoo Kim ,  Daquan Huang ,  Jungsuek Oh ,  Yusuf A. Bhagat ,  Sean D. Lai ,  Johnny T. Homer

IPC: A61B5/021 ,  A61B5/00 ,  H04Q9/00

CPC classification number: A61B5/021 ,  A61B5/0015 ,  A61B5/0285 ,  A61B5/0507 ,  A61B5/681 ,  H04Q9/00 ,  H04Q2209/50 ,  H04Q2209/84

Abstract: A method implemented by a device to measure a bodily parameter includes transmitting, by a transmit (Tx) antenna of an antenna pair, a first radar pulse to a receive (Rx) antenna of the antenna pair. The method also includes receiving, by the receive (Rx) antenna, the first radar pulse. The first radar pulse travels through a radar target between the Tx antenna and the Rx antenna. The method further includes transmitting, by the Tx antenna, a second radar pulse to the Rx antenna. In addition the method includes receiving, by the Rx antenna, the second radar pulse, wherein the second radar pulse travels through the radar target between the Tx antenna and the Rx antenna. The method also includes determining a bodily parameter within the radar target as a function of the transmission and the reception of the first radar pulse and the second radar pulse.

Abstract translation: 由用于测量身体参数的设备实现的方法包括通过天线对的发射（Tx）天线将第一雷达脉冲发射到天线对的接收（Rx）天线。 该方法还包括通过接收（Rx）天线接收第一雷达脉冲。 第一雷达脉冲穿过Tx天线和Rx天线之间的雷达目标。 该方法还包括由Tx天线向Rx天线发送第二雷达脉冲。 此外，该方法包括通过Rx天线接收第二雷达脉冲，其中第二雷达脉冲在Tx天线和Rx天线之间穿过雷达目标。 该方法还包括根据第一雷达脉冲和第二雷达脉冲的传输和接收确定雷达目标内的身体参数。

公开(公告)号：US12260523B2

公开(公告)日：2025-03-25

申请号：US17318287

申请日：2021-05-12

Applicant: SAMSUNG ELECTRONICS CO., LTD.

Inventor： Insoo Kim ,  Seungju Han ,  Seong-jin Park ,  Jiwon Baek ,  Jaejoon Han

IPC: G06T5/70 ,  G06N3/045 ,  G06N3/08 ,  G06T3/4046 ,  G06T5/73

Abstract: An image recognition method includes: receiving an input image of a first quality; extracting an input feature of a second quality of the input image from the input image by inputting the input image to an encoding model in an image recognizing model; and generating a recognition result for the input image based on the input feature.

公开(公告)号：US11810397B2

公开(公告)日：2023-11-07

申请号：US17208048

申请日：2021-03-22

Applicant: SAMSUNG ELECTRONICS CO., LTD.

Inventor： Jiwon Baek ,  Seong-Jin Park ,  Seungju Han ,  Insoo Kim ,  Jaejoon Han

IPC: G06V40/16 ,  G06T7/73 ,  G06V10/75 ,  G06N3/04 ,  G06N3/08 ,  G06T3/40 ,  G06T3/60 ,  G06T9/00 ,  G06F18/214

CPC classification number: G06V40/172 ,  G06F18/214 ,  G06N3/04 ,  G06N3/08 ,  G06T3/40 ,  G06T3/60 ,  G06T7/73 ,  G06T9/002 ,  G06V10/751 ,  G06V40/171 ,  G06T2207/20081 ,  G06T2207/20084 ,  G06T2207/30201

Abstract: A processor-implemented facial image generating method includes: determining a first feature vector associated with a pose and a second feature vector associated with an identity by encoding an input image including a face; determining a flipped first feature vector by flipping the first feature vector with respect to an axis in a corresponding space; determining an assistant feature vector based on the flipped first feature vector and rotation information corresponding to the input image; determining a final feature vector based on the first feature vector and the assistant feature vector; and generating an output image including a rotated face by decoding the final feature vector and the second feature vector based on the rotation information.

公开(公告)号：US11367451B2

公开(公告)日：2022-06-21

申请号：US16519757

申请日：2019-07-23

Applicant: Samsung Electronics Co., Ltd.

Inventor： Kyuhong Kim ,  Insoo Kim ,  Dohwan Lee ,  Hana Lee

IPC: G10L17/04 ,  G10L17/00 ,  G10L15/16 ,  G06N3/04

Abstract: A speaker authentication method and apparatus may extract input speaker features corresponding to a plurality of frames of an input speech of an object, estimate discriminable speaker sections corresponding to the plurality of frames, and dynamically match the input speaker features to pre-enrolled enrolled speaker features based on the discriminable speaker section.

公开(公告)号：US11341365B2

公开(公告)日：2022-05-24

申请号：US16913205

申请日：2020-06-26

Applicant: Samsung Electronics Co., Ltd.

Inventor： Seong-Jin Park ,  Insoo Kim ,  Seungju Han ,  Jiwon Baek ,  Ju Hwan Song ,  Jaejoon Han

IPC: G06K9/62 ,  G06N3/04 ,  G06N3/08

Abstract: A processor-implemented neural network method includes: determining, using a neural network, a feature vector based on a training image of a first class among a plurality of classes; determining, using the neural network, plural feature angles between the feature vector and class vectors of other classes among the plurality of classes; determining a margin based on a class angle between a first class vector of the first class and a second class vector of a second class, among the class vectors, and a feature angle between the feature vector and the first class vector; determining a loss value using a loss function including an angle with the margin applied to the feature angle and the plural feature angles; and training the neural network by updating, based on the loss value, either one or both of one or more parameters of the neural network and one or more of the class vectors.