Toilet fall detection method based on millimeter wave radar

A millimeter-wave radar and detection method technology, applied in the field of toilet fall detection based on millimeter-wave radar, can solve the problems of large amount of calculation, complex monitoring process, easy to be affected by the environment, etc., achieve accurate calculation, avoid privacy leakage, and easy monitoring Effect

Pending Publication Date: 2021-05-11
SOUTHWEST JIAOTONG UNIV +2
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  • Claims
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Problems solved by technology

[0007] Aiming at the above-mentioned deficiencies in the prior art, the toilet fall detection method based on millimeter-wave radar provided by the present invention solves t

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  • Toilet fall detection method based on millimeter wave radar
  • Toilet fall detection method based on millimeter wave radar
  • Toilet fall detection method based on millimeter wave radar

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Embodiment Construction

[0075] The specific embodiments of the present invention are described below so that those skilled in the art can understand the present invention, but it should be clear that the present invention is not limited to the scope of the specific embodiments. For those of ordinary skill in the art, as long as various changes Within the spirit and scope of the present invention defined and determined by the appended claims, these changes are obvious, and all inventions and creations using the concept of the present invention are included in the protection list.

[0076] The present invention uses the millimeter-wave radar detection technology to realize the spatial clustering human behavior recognition method, and adopts the density-based DBSAN algorithm to cluster the coordinate data collected by the millimeter-wave radar into different cluster groups, so that each cluster group corresponds to a single human body. Behavior, and then perform data processing and feature extraction to ...

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Abstract

The invention discloses a toilet fall detection method based on a millimeter wave radar. The method comprises the steps of S1 laying the millimeter wave radar, and collecting user data; S2 performing coordinate transformation on the user data, and determining three-dimensional point cloud data of the user data in an actual scene; S3 based on the three-dimensional point cloud data, obtaining a three-dimensional point cloud picture of the user; S4 positioning the user; S5 judging whether the user falls down or not based on a user positioning result and the three-dimensional point cloud picture; if yes, entering S6; if not, returning to S2; and S6 giving an alarm to a remotely connected monitoring mechanism to realize fall detection. Only the millimeter wave radar is used in the whole detection process, the site space occupied by equipment is reduced, monitoring becomes simpler and more convenient, only a rough human body contour composed of points exists when a person is presented in a cloud point diagram through a spatial clustering method, the sound, pictures and other information of the person cannot appear in the use process of the system, and privacy leakage of the user is avoided.

Description

technical field [0001] The invention belongs to the technical field of fall detection, and in particular relates to a method for detecting falls in a toilet based on millimeter wave radar. Background technique [0002] The World Health Organization (WHO) reported in September 2016 that falls are the second leading cause of accidental or unintentional injury deaths around the world. About 10% to 15% of falls will lead to serious falls in the elderly, and more than 33% of the elderly over the age of 65 fall each year, especially in the small space of the bathroom, where falls are more likely to fall than in other rooms. Falls are more complicated, and because the user's privacy needs to be protected when detecting equipment in the bathroom environment, the discrimination system for multiple falls based on millimeter-wave radar is particularly valuable. [0003] (1) The first is a human fall detection system based on visual recognition. This system is an image-based fall detec...

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Application Information

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IPC IPC(8): G01S7/41G01S13/88
CPCG01S7/41G01S13/88
Inventor 苟先太杨亚宁唐佳璐黄毅凯魏亚林苟瀚文姚一可
Owner SOUTHWEST JIAOTONG UNIV
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