公开(公告)号：US20230315255A1

公开(公告)日：2023-10-05

申请号：US18329928

申请日：2023-06-06

Applicant: HUAWEI TECHNOLOGIES CO., LTD.

Inventor： Caifa ZHOU ,  Yongliang WANG ,  Dandan ZENG ,  Huafeng BA ,  Jianhua CAI

IPC: G06F3/04817 ,  G01C21/16

CPC classification number: G06F3/04817 ,  G01C21/1654

Abstract: An activity recognition method, a display method, and an electronic device are disclosed. The electronic device can obtain a plurality of poses of the electronic device, and obtain one or more pieces of feature data based on the plurality of poses by using a plurality of one-dimensional convolutional layers, where each of the one or more pieces of feature data indicates a motion state of a person holding the electronic device, an action of the person, or a tool carrying the person. Then, the electronic device displays, as an icon, the types of information indicated by the one or more pieces of feature data. According to the method, feature data for representing an activity state of the person is extracted by using the one-dimensional convolutional layers, and features for representing the activity

公开(公告)号：US20240271939A1

公开(公告)日：2024-08-15

申请号：US18621182

申请日：2024-03-29

Applicant: HUAWEI TECHNOLOGIES CO., LTD.

Inventor： Xiya CAO ,  Caifa ZHOU ,  Yongliang WANG ,  Dandan ZENG

IPC: G01C21/16 ,  G06N20/00

CPC classification number: G01C21/16 ,  G06N20/00

Abstract: This application relates to a method for training a trajectory estimation model. The method includes: obtaining first IMU data in a first time period; obtaining second IMU data, where the first IMU data and the second IMU data use a same coordinate system, and the second IMU data and the first IMU data have a preset correspondence; in a feature extraction module, extracting a first feature of the first IMU data, and extracting a second feature of the second IMU data; in a label estimation module, determining a first label based on the first feature, and determining a second label based on the second feature; determining a first difference between the first label and the second label; and performing a first update on a parameter of the feature extraction module and a parameter of the label estimation module in a direction of reducing the first difference.

公开(公告)号：US20230354258A1

公开(公告)日：2023-11-02

申请号：US18342077

申请日：2023-06-27

Applicant: HUAWEI TECHNOLOGIES CO., LTD.

Inventor： Caifa ZHOU ,  Yongliang WANG ,  Dandan ZENG ,  Zhi LI ,  Longhai WU

IPC: H04W64/00 ,  G01H9/00 ,  G01N21/65

CPC classification number: H04W64/003 ,  G01H9/004 ,  G01N21/65

Abstract: A data processing method is provided, the method including: obtaining crowd-sourced data, where each instance of the crowd-sourced data includes first location information of a terminal at a location point and received radio signal information, the location point is within a preset area, and the first location information indicates a relative location of the location point with respect to a preset location point; obtaining, based on the crowd-sourced data, a plurality of first similarities and a second similarity corresponding to each first similarity; determining a target mapping relationship based on the plurality of first similarities and the second similarity corresponding to each first similarity; and obtaining a plurality of preset trajectories within the preset area, and performing trajectory fusion on the plurality of preset trajectories with the target mapping relationship as a constraint, to obtain a trajectory fusion result.