公开(公告)号：US11941366B2

公开(公告)日：2024-03-26

申请号：US17102395

申请日：2020-11-23

Applicant: UBTECH ROBOTICS CORP LTD

Inventor： Chi Shao ,  Dongyan Huang ,  Wan Ding ,  Youjun Xiong

IPC: G06F40/35 ,  G06F40/284 ,  G06N3/049

CPC classification number: G06F40/35 ,  G06F40/284 ,  G06N3/049

Abstract: The present disclosure discloses a context-based multi-turn dialogue method. The method includes: obtaining to-be-matched historical dialogue information; performing a word feature extraction based on the to-be-matched historical dialogue information to obtain a historical dialogue word embedding; obtaining candidate answer information; performing the word feature extraction based on the candidate answer information to obtain a candidate answer word embedding; obtaining a historical dialogue partial matching vector and a candidate answer partial matching vector by performing partial semantic relationship matching based on the historical dialogue word embedding and the candidate answer word embedding; obtaining a candidate answer matching probability by performing a matching probability calculation based on the historical dialogue partial matching vector and the candidate answer partial matching vector; and determining matched answer information based on the candidate answer information and the candidate answer matching probability.

公开(公告)号：US20220067354A1

公开(公告)日：2022-03-03

申请号：US17463500

申请日：2021-08-31

Applicant: UBTECH Robotics Corp Ltd

Inventor： Chi Shao ,  Miaochen Guo ,  Jun Cheng ,  Jianxin Pang

IPC: G06K9/00 ,  G06K9/62

Abstract: A dynamic gesture recognition method includes: performing detection on each frame of image of a video stream using a preset static gesture detection model to obtain a static gesture in each frame of image of the video stream; in response to detection of a change of the static gesture from a preset first gesture to a second gesture, suspending the static gesture detection model and activating a preset dynamic gesture detection model; and performing detection on multiple frames of images that are pre-stored in a storage medium using the dynamic gesture detection model to obtain a dynamic gesture recognition result.

公开(公告)号：US11636712B2

公开(公告)日：2023-04-25

申请号：US17463500

申请日：2021-08-31

Applicant: UBTECH ROBOTICS CORP LTD

Inventor： Chi Shao ,  Miaochen Guo ,  Jun Cheng ,  Jianxin Pang

IPC: G06V40/20 ,  G06V10/94 ,  G06V20/40 ,  G06V10/62 ,  G06V10/82 ,  G06V40/10 ,  G06N3/08 ,  G06F18/21 ,  G06F18/20 ,  G06F18/214

Abstract: A dynamic gesture recognition method includes: performing detection on each frame of image of a video stream using a preset static gesture detection model to obtain a static gesture in each frame of image of the video stream; in response to detection of a change of the static gesture from a preset first gesture to a second gesture, suspending the static gesture detection model and activating a preset dynamic gesture detection model; and performing detection on multiple frames of images that are pre-stored in a storage medium using the dynamic gesture detection model to obtain a dynamic gesture recognition result.

公开(公告)号：US20210200961A1

公开(公告)日：2021-07-01

申请号：US17102395

申请日：2020-11-23

Applicant: UBTECH ROBOTICS CORP LTD

Inventor： Chi Shao ,  Dongyan Huang ,  Wan Ding ,  Youjun Xiong

IPC: G06F40/35 ,  G06F40/284 ,  G06N3/04

Abstract: The present disclosure discloses a context-based multi-turn dialogue method. The method includes: obtaining to-be-matched historical dialogue information; performing a word feature extraction based on the to-be-matched historical dialogue information to obtain a historical dialogue word embedding; obtaining candidate answer information; performing the word feature extraction based on the candidate answer information to obtain a candidate answer word embedding; obtaining a historical dialogue partial matching vector and a candidate answer partial matching vector by performing partial semantic relationship matching based on the historical dialogue word embedding and the candidate answer word embedding; obtaining a candidate answer matching probability by performing a matching probability calculation based on the historical dialogue partial matching vector and the candidate answer partial matching vector; and determining matched answer information based on the candidate answer information and the candidate answer matching probability.