公开(公告)号：US11783542B1

公开(公告)日：2023-10-10

申请号：US17489487

申请日：2021-09-29

Applicant: Amazon Technologies, Inc.

Inventor： Matan Goldman ,  Lior Fritz ,  Omer Meir ,  Imry Kissos ,  Yaar Harari ,  Eduard Oks ,  Mark Kliger

IPC: G06T17/20 ,  G06T7/20 ,  H04N5/04 ,  G06N3/08 ,  G06T7/70 ,  G06N3/045

CPC classification number: G06T17/20 ,  G06N3/045 ,  G06N3/08 ,  G06T7/20 ,  G06T7/70 ,  H04N5/04 ,  G06T2207/30196 ,  G06T2207/30244

Abstract: Devices and techniques are generally described for three dimensional mesh generation. In various examples, first two-dimensional (2D) image data representing a human body may be received from a first image sensor. Second 2D image data representing the human body may be received from a second image sensor. A first pose parameter and a first shape parameter may be determined using a first three-dimensional (3D) mesh prediction model and the first 2D image data. A second pose parameter and a second shape parameter may be determined using a second 3D mesh prediction model and the second 2D image data. In various examples, an updated 3D mesh prediction model may be generated from the first 3D mesh prediction model based at least in part on a first difference between the first pose parameter and the second pose parameter and a second difference between the first shape parameter and the second shape parameter.

公开(公告)号：US12067806B2

公开(公告)日：2024-08-20

申请号：US17176479

申请日：2021-02-16

Applicant: AMAZON TECHNOLOGIES, INC.

Inventor： Eduard Oks ,  Ridge Carpenter ,  Lamarr Smith ,  Claire McGowan ,  Elizabeth Reisman ,  Ianir Ideses ,  Eli Alshan ,  Mark Kliger ,  Matan Goldman ,  Liza Potikha ,  Ido Yerushalmy ,  Dotan Kaufman ,  Guy Adam ,  Omer Meir ,  Lior Fritz ,  Imry Kissos ,  Georgy Melamed ,  Eran Borenstein ,  Sharon Alpert ,  Noam Sorek

IPC: G06K9/00 ,  G06N20/00 ,  G06T7/70 ,  G06V40/20

CPC classification number: G06V40/23 ,  G06N20/00 ,  G06T7/70

Abstract: Characteristics of a user's movement are evaluated based on performance of activities by a user within a field of view of a camera. Video data representing performance of a series of movements by the user is acquired by the camera. Pose data is determined based on the video data, the pose data representing positions of the user's body while performing the movements. The pose data is compared to a set of existing videos that correspond to known errors to identify errors performed by the user. The errors may be used to generate scores for various characteristics of the user's movement. Based on the errors, exercises or other activities to improve the movement of the user may be determined and included in an output presented to the user.

公开(公告)号：US11771863B1

公开(公告)日：2023-10-03

申请号：US16710211

申请日：2019-12-11

Applicant: AMAZON TECHNOLOGIES, INC.

Inventor： Eli Alshan ,  Mark Kliger ,  Ido Yerushalmy ,  Liza Potikha ,  Dotan Kaufman ,  Ianir Ideses ,  Eduard Oks ,  Noam Sorek

IPC: G08B21/04 ,  A61M21/02 ,  G16H10/60 ,  G16H50/30 ,  G16H20/00 ,  G06Q10/1093 ,  G06V40/20 ,  G06V40/16 ,  A61M21/00

CPC classification number: A61M21/02 ,  G06Q10/1097 ,  G06V40/176 ,  G06V40/23 ,  G16H10/60 ,  G16H20/00 ,  G16H50/30 ,  A61M2021/0016 ,  A61M2021/0022 ,  A61M2021/0044 ,  A61M2021/005 ,  A61M2205/3306 ,  A61M2205/3375 ,  A61M2205/50 ,  A61M2205/52 ,  A61M2230/04 ,  A61M2230/06 ,  A61M2230/20 ,  A61M2230/30 ,  A61M2230/42 ,  A61M2230/50 ,  A61M2230/62 ,  A61M2230/63

Abstract: Systems for assisting a user in performance of a meditation activity or another type of activity are described. The systems receive user input and sensor data indicating physiological values associated with the user. These values are used to determine a recommended type of activity and a length of time for the activity. While the user performs the activity, sensors are used to measure physiological values, and an output that is provided to the user is selected based on the measured physiological values. The output may be selected to assist the user in reaching target physiological values, such as a slower respiration rate. After completion of the activity, additional physiological values are used to determine the effectiveness of the activity and the output that was provided. The effectiveness of the activity and the output may be used to determine future recommendations and future output.

公开(公告)号：US11861944B1

公开(公告)日：2024-01-02

申请号：US16582789

申请日：2019-09-25

Applicant: AMAZON TECHNOLOGIES, INC.

Inventor： Ido Yerushalmy ,  Ianir Ideses ,  Eli Alshan ,  Mark Kliger ,  Liza Potikha ,  Dotan Kaufman ,  Sharon Alpert ,  Eduard Oks ,  Noam Sorek

IPC: H04N5/04 ,  G06V40/20 ,  G06V20/40

CPC classification number: G06V40/23 ,  G06V20/40 ,  H04N5/04

Abstract: Video output is generated based on first video data that depicts the user performing an activity. Poses of the user during performance of the activity are compared with second video data that depicts an instructor performing the activity. Corresponding poses of the user's body and the instructor's body may be determined through comparison of the first and second video data. The video data is used to determine the rate of motion of the user and to generate video output in which a visual representation of the instructor moves at a rate similar to the that of the user. For example, video output generated based on an instructional fitness video may be synchronized so that movement of the presented instructor matches the rate of movement of the user performing an exercise, improving user comprehension and performance.