An Elderly Fall Detection Method Based on UWB Radar

An ultra-wideband radar and detection method technology, applied in the field of radar target detection signal processing, can solve the problems of false alarm rate, inability to obtain distance information, etc.

Active Publication Date: 2021-03-05
BEIJING INSTITUTE OF TECHNOLOGYGY
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Problems solved by technology

[0010] The purpose of the present invention is to reduce the false alarm rate of existing detection methods, and provide a method for detecting falls of the elderly based on ultra-wideband radar; The algorithm cannot get the technical defect of distance information to achieve more accurate fall recognition results;

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  • An Elderly Fall Detection Method Based on UWB Radar
  • An Elderly Fall Detection Method Based on UWB Radar
  • An Elderly Fall Detection Method Based on UWB Radar

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Embodiment 1

[0096] This embodiment describes the process of applying the "Ultra-Wideband Radar-Based Elderly Fall Detection Method" of the present invention to the actual collection of human fall movements;

[0097] In this embodiment, the UWB radar parameters are set as follows: effective detection distance 0.4-5m, frequency range 6.0-8.5GHz, baseband sampling rate 2.916GHz, number of distance units is 91, each distance unit length is 5.14cm, pulse The transmission interval is 2ms; in order to simulate the daily life environment, through comparison and selection, the office area in the building was finally selected as the human motion data collection environment; At the same height, this method is convenient for data collection; but after comparative experiments, it is found that the radar emits pulses from top to bottom for better detection and is suitable for indoor installation, so the radar module is placed slightly lower than the ceiling for data collection. Acquisition, the radar m...

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Abstract

The invention relates to a fall detection method for the elderly based on ultra-wideband radar, belonging to the field of radar target detection signal processing; the invention is based on the time, Doppler frequency, and distance variation characteristics of radar echoes of different human actions, and uses multi-domain peak point tracking method to replace the traditional time-frequency analysis method. On the basis of obtaining the time characteristics and Doppler frequency characteristics of human body movements, the distance characteristic information can be obtained at the same time, which effectively avoids the influence of micro-Doppler on the results caused by the swinging of limbs when the human body is moving. , which is beneficial to achieve more accurate motion feature analysis results. Compared with the prior art, the method of the present invention can accurately detect the distance information of human body movements while retaining the time and frequency information obtained by the traditional time-frequency analysis method, and improves the recognition accuracy of falling movements.

Description

technical field [0001] The invention relates to a fall detection method for the elderly based on ultra-wideband radar, belonging to the field of radar target detection signal processing; Background technique [0002] Researchers at home and abroad have conducted a lot of research on the problem of human fall motion recognition, and obtained a series of valuable research results; according to different application scenarios and data acquisition methods, there are mainly human body fall motion recognition based on wearable sensors, There are three types of methods: human body fall action recognition based on video image information, and human body fall action recognition based on radar sensors; the first type of method monitors and recognizes human body fall action through a variety of micro sensors carried on the body, and the latter two methods use cameras, radar and other non-contact methods to obtain human body movement information; [0003] The fall motion recognition te...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G01S13/58G01S7/41G01S7/292
CPCG01S7/2923G01S7/412G01S7/415G01S13/582
Inventor 单涛陶然苗仲菁
Owner BEIJING INSTITUTE OF TECHNOLOGYGY
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