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Method and system for detecting and determining abnormal behaviors of human body based on big data

A judgment method and judgment system technology, applied in the input/output process of data processing, electrical digital data processing, input/output of user/computer interaction, etc. The effect of eliminating differences

Active Publication Date: 2018-02-02
南京雀翼信息科技有限公司
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0006] The technical problem to be solved by the present invention is to provide a method and system for detecting and judging abnormal human behavior based on big data, so as to solve the problem of inaccurate models or algorithms in the prior art in practical applications

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  • Method and system for detecting and determining abnormal behaviors of human body based on big data
  • Method and system for detecting and determining abnormal behaviors of human body based on big data
  • Method and system for detecting and determining abnormal behaviors of human body based on big data

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Embodiment 1

[0065] This embodiment provides a method for detecting and judging abnormal human behavior based on big data, such as figure 1 shown, including steps;

[0066] S11: Acquire and store the acceleration data collected by the smart wearable device and perform preprocessing;

[0067] S12: Using the K-means algorithm to perform preliminary clustering processing on the acceleration data;

[0068] S13: Using the DBSCAN algorithm to perform final clustering processing on the acceleration data for preliminary clustering processing;

[0069] S14: Perform ellipsoid fitting on the data processed by final clustering.

[0070] In this embodiment, the smart wearable device will continuously collect acceleration data and store the data in the database, and wait for the next step of processing. When the amount of data reaches a certain amount of data, it is believed that these data will show certain rules, and they will be aggregated into several different data sets to form a data cluster or...

Embodiment 2

[0145] This embodiment provides a method for detecting and judging abnormal human behavior based on big data, such as Figure 5 shown, including:

[0146] The acquisition module 21 is used to acquire and store the acceleration data collected by the smart wearable device and perform preprocessing;

[0147] Preliminary clustering processing module 22, for utilizing K-means algorithm to carry out preliminary clustering processing to acceleration data;

[0148] The final clustering processing module 23 is used to perform final clustering processing on the acceleration data processed by the preliminary clustering process using the DBSCAN algorithm;

[0149] The ellipsoid fitting module 24 is configured to perform ellipsoid fitting on the data that has undergone the final clustering process.

[0150] This embodiment combines the real-time data collection technology of smart wearable devices and the analysis technology based on big data, which can process the data of the human body...

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Abstract

The invention discloses a method and system for detecting and determining abnormal behaviors of a human body based on big data, and is used for solving a problem that a model or algorithm in the priorart is not accurate in actual application. The method comprises the steps: S1, obtaining and storing acceleration data collected by intelligent wearable equipment, and then carrying out the preprocessing of the acceleration data; S2, carrying out the initial clustering processing of the acceleration data through a K-means algorithm; S3, carrying out the final clustering processing of the acceleration data after the initial clustering processing through employing the DBSCAN algorithm; S4, carrying out the ellipsoid fitting of the data after the final clustering processing. The method eliminates the difference between human beings through the clustering algorithm, gives consideration to the difference between the human beings, is different in collected data, and enables the usability of data to be improved.

Description

technical field [0001] The invention relates to the technical field of abnormal human behavior recognition, in particular to a method and system for detecting and judging abnormal human behavior based on big data. Background technique [0002] At present, the aging trend of the world is becoming more and more serious. In the next century, the elderly population will double, and the ratio of the young population to the elderly population will also drop significantly. In this context, the way of artificially caring for the elderly has become more and more inappropriate. If the monitoring and management of your health through computers and electronic systems has become a new field, abnormal human behavior detection is one of them. A hot research direction. [0003] In the existing research, most researchers solve this problem from the perspective of human motion analysis, such as analyzing the acceleration waveform of the fall, the impact force and the angle change during the ...

Claims

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Application Information

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IPC IPC(8): G06K9/62G08B21/04G06F3/01
CPCG08B21/043G06F3/011G06F18/2321G06F18/23213G06F18/24
Inventor 刘璐
Owner 南京雀翼信息科技有限公司
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