Biological recognition method and system for weight detection device

A detection device and biometric technology, which is applied in measuring devices, character and pattern recognition, diagnostic records/measurement, etc., can solve problems such as data storage errors, and achieve the effect of avoiding data storage errors

Pending Publication Date: 2018-03-27
杭州吉吉知识产权运营有限公司
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Benefits of technology

This new method improves upon previous methods by utilizing an algorithm that matches specific parts or characteristics from electrocardiogram (EKG) signals collected during sleeping sessions for each person being tested. By comparing this pattern against existing patterns stored on memory, it becomes possible to determine which individuals are likely going through their movements without storing any incorrect data.

Problems solved by technology

This patented technical problem addressed by this patents relates to an improved way that allows people who have access to weights or other physical characteristics to accurately recognize themselves without having them manually input any details about each person being tested.

Method used

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  • Biological recognition method and system for weight detection device
  • Biological recognition method and system for weight detection device
  • Biological recognition method and system for weight detection device

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0047] This embodiment provides a biometric identification method for a body weight detection device, such as figure 1 shown, including steps:

[0048] S11: collect the ECG IDs of multiple users and store them in the database;

[0049] S12: Detect whether the ECG ID of the current user matches the preset ECG ID in the database, and if so, upload the detection data of the current user to the database corresponding to the current user.

[0050] The weight detection device is usually used by multiple users. In order to detect the privacy of the data, we usually send the detection data to the database corresponding to the weight detection device. It is assumed that the database has data of multiple users. If no corresponding user, it is possible to place detection data in the default user database.

[0051] For example, if the difference between the detection data and the historical data in the database does not exceed a preset difference, the detection data is assumed to be the us

Embodiment 2

[0062] This embodiment provides a biometric identification method for a body weight detection device, such as figure 2 shown, including steps:

[0063] S21: collect the ECG IDs of multiple users and store them in the database;

[0064] S22: Collect the detection data of the first detection of multiple users and store them in the databases corresponding to the multiple users;

[0065] S23: Detect whether the ECG ID of the current user matches the preset ECG ID in the database, and if so, upload the detection data of the current user to the database corresponding to the current user.

[0066] The difference from the first embodiment is that this embodiment further includes step S22.

[0067] Specifically, when a user detects for the first time, a database of the user is established, and the first detection result is stored in the corresponding database. In this way, each user has its own database, and the historical detection data is stored in the corresponding database, which

Embodiment 3

[0070] This implementation provides a biometric identification method for a weight detection device, such as image 3 shown, including steps:

[0071] S31: collect the ECG IDs of multiple users and store them in the database;

[0072] S32: Collect the detection data of multiple users for the first detection and store them in the databases corresponding to multiple users;

[0073] S33: Detect whether the ECG ID of the current user matches the preset ECG ID in the database, and if so, upload the detection data of the current user to the database corresponding to the current user;

[0074] S34: If the ECG ID of the current user does not match the preset ECG ID in the database, prompt the current user to collect the ECG ID;

[0075] S35: Judging whether the ECG ID of the current user is collected, if so, uploading the detection data of the current user to the database corresponding to the current user;

[0076] S36: If the ECG ID of the current user is not collected, only display

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Abstract

The invention discloses a biological recognition method and system for a weight detection device. The biological recognition method and system are used for solving the problem that in the prior art, adata storage error possibly occurs when the weight detection device is used by multiple users. The method comprises the steps that S1, electrocardiogram IDs of multiple users are collected and storedin a database; and S2, whether the electrocardiogram ID of the current user is matched with the preset electrocardiogram IDs in the database is detected, and if yes, detection data of the current user is uploaded to a database corresponding to the current user. According to the biological recognition method and system, different users are distinguished by the adoption of an electrocardiogram ID matching biological recognition technology, the current user can be accurately recognized, biological electric signals of the users are collected more accurately, and the problem of data storage errorsis avoided.

Description

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Claims

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Application Information

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Owner 杭州吉吉知识产权运营有限公司
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