Human body fall detection method based on acceleration sensor

A technology of acceleration sensor and detection method, which is applied in the field of biomedical signal processing, can solve the problems of missed falls, insufficient, false positives, etc., and achieve the effect of improving accuracy, meeting high-precision requirements, and ensuring personal safety

Active Publication Date: 2019-01-08
SHANDONG UNIV OF SCI & TECH
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Problems solved by technology

[0008] The object of the present invention is to address the above-mentioned deficiencies, and proposes a human body fall detection method based on an acceleration sensor. question

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  • Human body fall detection method based on acceleration sensor
  • Human body fall detection method based on acceleration sensor
  • Human body fall detection method based on acceleration sensor

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Embodiment Construction

[0033] ADL: Actions of daily life;

[0034] SVM classifier: A discriminative classifier defined by a classification hyperplane, that is, given a set of labeled training samples, the algorithm will output an optimal hyperplane to classify new samples (test samples).

[0035] The specific embodiment of the present invention will be further described below in conjunction with accompanying drawing and specific embodiment:

[0036] Such as Figure 1-Figure 3 As shown, a human body fall detection method based on an acceleration sensor, the method is based on a detection system, and the detection system includes an interconnected data acquisition module, a threshold value extraction module, a fall detection module, an alarm and a threshold value update module, an alarm and a threshold value update module and The fall detection modules are connected to form a loop, which specifically includes:

[0037] Step 1: Extract the threshold set; preprocess the pre-acquired ADL and fall acceler...

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Abstract

The invention discloses a human body fall detection method based on an acceleration sensor and relates to the technical field of biomedical signal processing. The human body fall detection method is based on a double check human body fall detection algorithm, wherein primary fall detection comprises the following steps: extracting a threshold value set according to pre-acquired activities of dailyliving (ADL) and fall acceleration sample data; then acquiring ADL acceleration data of a human body in real time, and extracting variance of the data as a dynamic threshold value for partially updating a pre fall behavior threshold value specific to a user; and setting the threshold value as a human body fall judgment standard, and performing primary detection on a human body fall behavior; in aprimary fall detection process, once a fact that a pre fall behavior happens is detected, human body behavior data t seconds before the pre fall behavior is sent onto a server near a data source, andsecondary fall detection judgment based on SVM is performed; and finally according to a dual fall judgment result, a human body fall event is determined, and the threshold value set of a fall detection algorithm is dynamically updated to be used for follow-up fall detection on the user.

Description

technical field [0001] The invention relates to the technical field of biomedical signal processing, in particular to a human fall detection method based on an acceleration sensor. Background technique [0002] With the continuous growth of the world's population, the continuous improvement of the medical system, and the rapid aging of the population, my country is also facing the prominent problem of aging. There are more and more elderly people living alone, and the phenomenon of empty nests is becoming more and more obvious. However, the health and safety of the elderly living alone has gradually become a serious social problem. According to statistics, about one-third of the elderly over 65 years old in the world have fallen every year, and falls are often accompanied by serious physical and psychological injuries, which will increase the burden on families and society. If the fall event of the elderly is detected timely and accurately and an alarm is issued, the harm c...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G08B21/04
CPCG08B21/043G08B21/0446
Inventor 任领美刘政张怡睿宸
Owner SHANDONG UNIV OF SCI & TECH
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