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
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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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