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The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Patent No.:

US 12657765 B1

PDFFull Text
Date of Patent:
Jun. 16, 2026

Filed:

Oct. 13, 2023

Method for human fall detection and method for obtaining feature extraction model, and terminal device

Applicant:

Ubtech Robotics Corp Ltd, Shenzhen, CN;

Inventors:

Kan Wang, Shenzhen, CN;

Shuping Hu, Shenzhen, CN;

Jianxin Pang, Shenzhen, CN;

Huan Tan, Shenzhen, CN;

Assignee:

UBTECH ROBOTICS CORP LTD, Shenzhen, CN;

Attorney:
Primary Examiner:

Amandeep Saini

Assistant Examiner:

Mehrazul undefined Islam

Int. Cl.
CPC ...
G16H 30/40 (2018.01); G06N 20/00 (2019.01); G06T 7/73 (2017.01); G06V 10/77 (2022.01); G06V 10/774 (2022.01); G06V 10/776 (2022.01); G06V 10/82 (2022.01); G06V 40/10 (2022.01); G16H 50/20 (2018.01); G06V 20/52 (2022.01);
U.S. Cl.
CPC ...
G06T 7/74 (2017.01); G06V 10/7715 (2022.01); G06V 10/774 (2022.01); G06V 10/776 (2022.01); G06V 10/82 (2022.01); G06V 40/10 (2022.01); G06T 2207/20081 (2013.01); G06T 2207/20084 (2013.01); G06T 2207/30196 (2013.01); G06V 20/52 (2022.01);
Abstract

A method for obtaining a feature extraction model, a method for human fall detection and a terminal device are provided. The method for human fall detection includes: inputting a human body image into a feature extraction model for feature extraction to obtain a target image feature; in response to a distance between the target image feature and a pre-stored mean value of standing category image features being greater than or equal to a preset distance threshold, determining that the human body image is a human falling image; and in response to the distance being less than the preset distance threshold, determining that the human body image is a human standing image. The feature extraction model is obtained based on constraint training to aggregate standing category image features and separate falling category image features from the standing category image features.

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