Intelligent health measurement equipment based on biological recognition and ultrasonic technology and implementation method for synchronizing data of intelligent health measurement equipment to mobile application

Abstract

The invention relates to an intelligent health measurement device based on biological recognition and ultrasonic technology and a method for synchronizing data to a mobile application, and aims to realize automatic recognition of user identity and intelligent measurement of height and weight through a face recognition technology, a height measuring instrument and a weight detector. The height is measured by adopting an ultrasonic double-probe technology, the weight is measured by utilizing a resistance strain gauge, and the accuracy and the real-time performance of data are ensured. When the user stands on the equipment, the face recognition module automatically recognizes the identity of the user, personal information such as the name, the age and the gender does not need to be manually input, and the operation process is simplified. Measurement data is synchronized to a mobile application through Bluetooth, the application analyzes historical data and generates a personalized health report, and a user is helped to monitor the health condition. Through the automatic identity verification and data synchronization technology, the user experience, the data accuracy and the operation convenience are improved, and the system is widely applied to the fields of families, fitness places, health management and the like.

Description

Technical Field

[0001] The present invention relates to the field of intelligent hardware technology, in particular to the application of biometric technology in health measurement equipment, and mainly relates to an intelligent health measurement equipment based on face recognition and height and weight detection and a method for synchronizing its data to a mobile application. Background Art

[0002] With the continuous development of intelligent hardware technology, intelligent health measurement equipment can not only measure weight, but also integrate many advanced sensing technologies, such as biometrics, ultrasonic measurement, strain gauge sensing, etc., to achieve more accurate and personalized health monitoring. However, most of the existing intelligent electronic scales only have weight measurement functions, and the data storage and synchronization functions are relatively simple, so users cannot manage and analyze their health data in real time and conveniently.

[0003] In recent years, with the rapid development of biometric technology, especially the maturity of face recognition technology, smart hardware devices have begun to explore user identity authentication through face recognition to improve the security and convenience of devices. With the popularization of mobile Internet, data synchronization to mobile applications has become an important requirement for smart hardware. Through wireless technologies such as Bluetooth, the device can synchronize the user's weight, height and other health data to the application of the smartphone or tablet in real time, and the user can view and analyze personal health status at any time. Therefore, how to combine biometric technology with weight and height detection technology and realize wireless synchronization and analysis of data has become a key technical challenge to improve the function and user experience of smart health measurement equipment. Summary of the invention

[0004] The object of the present invention is to provide an intelligent health measurement device based on biometrics and ultrasonic technology and a method for synchronizing its data to a mobile application.

[0005] The present invention comprises the following steps:

[0006] S1: The face recognition module compares with the database to ensure that the person being detected is a registered or authenticated user. If the recognition is successful, the system records the user's information (such as name, gender, age, etc.);

[0007] S2: Height measurement uses ultrasonic dual-probe technology, which transmits ultrasonic signals through two probes and measures the reflection time of the signal from the user's head to the ground, thereby calculating the accurate height;

[0008] Weight detection is measured through the built-in resistance strain gauge. When the user stands on the device, the weight will be applied to the scale surface through the feet. The resistance strain gauge embedded in the scale body will be affected by the pressure and undergo a slight deformation, causing its resistance value to change;

[0009] S3: The system will compare historical records to check whether there are any abnormal changes in the user's weight, height and other data, and compare them with standard health indicators to provide a basis for subsequent health analysis;

[0010] S4: The measured data is connected to the mobile phone APP via Bluetooth wireless technology. The APP automatically obtains the user's height, weight and other health information and displays it on the user's device screen.

[0011] The intelligent health measurement device based on biometrics and ultrasonic technology and the implementation method of synchronizing its data to a mobile application, the facial recognition technology used can automatically identify the identity of the user when the user stands in front of the device, without the need for the user to manually enter personal information.

[0012] The intelligent health measurement device based on biometrics and ultrasonic technology and the implementation method of synchronizing its data to a mobile application adopt a face recognition module that is associated with health measurement data in real time, so that the user's height and weight data can be automatically matched with their identity information, ensuring the personalization and accuracy of the data.

[0013] After the device recognizes the face, it immediately compares it with the preset database, matches the corresponding user information (name, gender, age) and displays it on the screen;

[0014] For users who have not pre-registered, the device uses an integrated AI algorithm to predict gender and age based on facial features and displays them on the screen, while the name needs to be manually entered or selected by the user;

[0015] The AI ​​algorithm uses FaceNet and optimizes feature embedding through "triplet loss", so that the model can map the faces of the same person to similar feature spaces and map the faces of different people to different areas.

[0016] If the user has logged in and bound personal information in the mobile application being used, the device will obtain the user's name, gender and age information from the application through data synchronization technology and display it on the screen in real time;

[0017] The intelligent health measurement device based on biometrics and ultrasonic technology and the implementation method of data synchronization to mobile applications, the ultrasonic dual-probe technology used in height measurement uses two ultrasonic sensors, one of which transmits ultrasonic waves and the other receives them, and measures the distance between the transmission and reception, and then combines the human body posture, position and algorithm to finally obtain the height value;

[0018] The intelligent health measurement device based on biometrics and ultrasonic technology and the implementation method of data synchronization to mobile applications, the resistance strain gauge is usually configured in the form of a bridge circuit, in which multiple strain gauges cooperate with each other to increase the accuracy and sensitivity of the measurement;

[0019] As body weight increases, the pressure applied to the strain gauge increases, and the resistance change increases accordingly;

[0020] Through the signal processing unit in the circuit, the sensed resistance changes will be converted into corresponding electrical signals, which are transmitted to the display module of the device. After processing, the user's weight value is calculated and displayed.

[0021] Working principle: By integrating facial recognition technology, ultrasonic height measuring instrument and resistance strain gauge weight measuring instrument, the user's identity recognition and accurate measurement of height and weight can be automatically realized. When the user stands on the device, the built-in facial recognition module automatically recognizes the user's identity without manual input of personal information. Ultrasonic dual-probe technology accurately measures height, and resistance strain gauges monitor weight in real time. After the measurement is completed, the data is synchronized to the mobile application in real time via Bluetooth. The application generates personalized health reports by analyzing historical data to help users monitor their health status. The overall system simplifies operations through automated processes, improving data accuracy and user experience.

[0022] The beneficial effects produced by the present invention are:

[0023] 1. An intelligent health measurement device based on biometrics and ultrasonic technology not only realizes the rapid and automatic identification of the user's identity, but also ensures the high accuracy and reliability of height and weight measurement, greatly reducing human errors. At the same time, the device can synchronize the measurement data to the mobile application in real time, allowing users to easily view, manage and track their health data, so as to obtain personalized health advice based on their personal situation.

[0024] 2. The application of biometric technology enhances the security of the device, while data encryption and privacy protection measures ensure the absolute privacy and security of user data. BRIEF DESCRIPTION OF THE DRAWINGS

[0025] The present invention will be further described below with reference to the accompanying drawings and embodiments, in which:

[0026] Figure 1 It is a work flow chart of the present invention;

[0027] Figure 2 It is a system architecture diagram of the present invention. DETAILED DESCRIPTION

[0028] The specific implementation modes of the present invention are further described in detail below in conjunction with the accompanying drawings.

[0029] like Figure 1 As shown, a smart health measurement device based on biometrics and ultrasonic technology and a method for synchronizing its data to a mobile application include:

[0030] The face recognition module compares the face with the database to ensure that the person being detected is a registered or authenticated user. If the recognition is successful, the system records the user's information (such as name, gender, age, etc.);

[0031] First, given three face images, A: anchor image, P: positive sample belonging to the same person as the anchor image, N: negative sample belonging to a different person than the anchor image, the triplet loss of FaceNet is: L(A,P,N)=max(d(f(A),f(P))-d(f(A),f(N))+α,0) (1) Where f(x) is the embedding vector of image x (the feature representation extracted from CNN), and d(x,y) is the distance between the two embedding vectors x and y, using the Euclidean distance: d(f(A),f(B))=||f(A)-f(B)|| (2) α is a hyperparameter that controls the minimum distance between negative samples and positive samples, ensuring that negative samples are far enough from anchor samples to avoid the model being too tolerant of negative samples.

[0032] Height measurement uses ultrasonic dual-probe technology, which transmits ultrasonic signals through two probes and measures the reflection time of the signal from the user's head to the ground, thereby calculating the accurate height and the distance of ultrasonic propagation: Where v is the propagation speed of ultrasound and t is the measured time difference. The ultrasonic probe is located at two positions, one in the head area and the other on the ground. Assume that the measured ultrasonic propagation distance between the two points is d 1 and d 2 , tester height = d 1 +d 2 ;

[0033] Weight detection is measured through a built-in resistance strain gauge. When the user stands on the device, the weight will be applied to the scale surface through the feet. The resistance strain gauge embedded in the scale body will be affected by the pressure and undergo a slight deformation, causing its resistance value to change.

[0034] The system will compare historical records to check whether there are any abnormal changes in the user's weight, height and other data, and compare them with standard health indicators to provide a basis for subsequent health analysis;

[0035] The measured data is connected to the mobile phone APP via Bluetooth wireless technology. The APP automatically obtains the user's height, weight and other health information and displays it on the user's device screen;

[0036] The APP automatically receives and analyzes data from the measuring device. Combined with the built-in algorithm, the system can intelligently compare the current measurement results with the user's historical data to analyze trends and changes.

[0037] Based on these data, the APP automatically generates health reports and provides personalized health advice or reminders, thereby improving the accuracy and convenience of user health management.

[0038] like Figure 2 As shown, the face recognition module uses face recognition technology, and the system can automatically identify the user's identity and match relevant health data records for him.

[0039] The central processing unit (CPU) is responsible for receiving and processing data from various modules (such as face recognition, height measurement, and weight detection) and performing data analysis and management.

[0040] The height measurement module uses ultrasonic or other sensing technologies to measure the user's height and transmits the data to the central processing unit for further processing.

[0041] The weight detection module measures the user's weight through a weighing sensor and sends the result to the central processing unit for integration with other data.

[0042] The display screen shows real-time information such as height, weight and health report, and provides user interface interaction.

[0043] Bluetooth enables wireless data transmission between the central processing unit and the mobile phone APP, ensuring that user data can be updated and synchronized to the APP in real time.

[0044] The APP receives data from the device via Bluetooth, automatically displays the user's height, weight and other information, and performs historical data comparison and health report generation.

[0045] The above is an exemplary description of the present invention in combination with the accompanying drawings. It is obvious that the specific implementation of the present invention is not limited to the above-mentioned method. As long as such non-substantial improvements are made by adopting the method concept and technical solution of the present invention, or the concept and technical solution of the present invention are directly applied to other occasions without improvement, they are all within the protection scope of the present invention.

Claims

1. A smart health measurement device based on biometrics and ultrasonic technology and a method for synchronizing its data to a mobile application, characterized in that: The method comprises the following steps: S1: The face recognition module compares with the database to ensure that the person being detected is a registered or authenticated user. If the recognition is successful, the system records the user's information (such as name, gender, age, etc.); S2: Height is measured using ultrasonic dual-probe technology, and weight is measured using a built-in resistance strain gauge; S3: The system compares historical records to check whether there are any abnormal changes in the user's weight, height and other data, and compares them with standard health indicators to provide a basis for subsequent health analysis; S4: The measured data is connected to the mobile phone APP via Bluetooth wireless technology. The APP automatically obtains the user's height, weight and other health information and displays it on the user's device screen.

2. The method according to claim 1, characterized in that The face recognition module verifies the user's identity by comparing it with the database and ensures the security and accuracy of data records.

3. The method according to claim 1, characterized in that The ultrasonic dual-probe technology is used to measure the height of the user with high accuracy and high stability.

4. The method according to claim 1, characterized in that: The built-in resistance strain gauge measures the user's weight through force changes, ensuring the real-time and accuracy of the measurement results.

5. The method according to claim 1, characterized in that: The system automatically detects abnormal changes in the user's weight and height by comparing historical health data and generates a health assessment report.

6. The method according to claim 1, characterized in that The mobile phone APP receives and displays the user's health information such as height and weight through Bluetooth wireless technology, and also supports data storage and health trend analysis.

7. The method according to claim 2, characterized in that The user identity authentication does not require the user to manually input any information, which simplifies the usage process and improves the user experience.

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