Intelligent health all-in-one machine

Abstract

The invention relates to an intelligent health all-in-one machine. The intelligent health all-in-one machine includes a health detection module, a main controller, a power supply module, a face recognition module, a voice module, a data storage module and a display module, wherein the health detection module is electrically connected to the main controller; the main controller is electrically connected to each module, for analyzing and processing the health data of the user, and controlling signal transmission between the modules; the power supply module is electrically connected to the main controller and each module; the face recognition module comprises a camera, an authentication unit and an emotion recognition unit; the camera is electrically connected to the authentication unit and the emotion recognition unit; the voice module comprises a voice entry module, a voiceprint recognition unit and a voice recognition unit; the voice entry module is electrically connected to the voiceprint recognition unit, the voice recognition unit and the voice broadcast unit; and the data storage module is used for storing user data, and the display module is used for displaying an interface. The intelligent health all-in-one machine can automatically recognize the user identity and the emotional state of the user through the face, and the operation can be completed only by voice, and the functions of different detectors are integrated, thus being convenient to use.

Description

technical field [0001] The present invention relates to the technical field of medical devices, and in particular to an intelligent health all-in-one machine, which is an intelligent device capable of measuring and data management of physiological health parameters such as blood pressure and / or blood sugar, and has a face recognition function and voice interaction Function, and can monitor the user's blood pressure for a long time, and warn the abnormal blood pressure state. Background technique [0002] With the improvement of living standards, the dietary structure and living habits of modern people have changed, and more and more people have chronic diseases such as hypertension, hyperglycemia, and hyperlipidemia. With the improvement of living standards, people have also begun to pay attention to their own health problems, and at the same time, the demand for various household testing instruments is also increasing, such as: blood pressure monitors, blood glucose meters,...

AI Technical Summary

Problems solved by technology

The deficiencies in the existing technology include: 1. The detectors currently on the market only have a health detection function (such as blood pressure), which cannot meet the family's more needs for health detection; 2. The collection process of most detectors is relatively Single, without classifying different users and different emotional states of the same user. Although face recognition has been applied to blood pressure monitors in existing technologies, these technologies are usually only used for identity authentication and data management; 3. Most of the detectors Data analysis is relatively single, and can only be compared with historical values ​​for longitudinal analysis, but lacks horizontal analysis of users' different emotional states

However, because most of the users who need these tests are older, it is difficult for them to get familiar with the interface and master the method

Moreover, some detectors cannot be operated independently for some elderly people and some people with physical defects (such as poor eyesight)

Therefore, there are also the following deficiencies: one, the operation and use of the detector are inconvenient; for example, the blood pressure monitor needs to operate the cuff while operating the buttons, which cannot be operated independently for some elderly people and people with physical defects; two. Most of the detectors on the market are silent. For users with poor eyesight, it is impossible to obtain the feedback of the instrument in time for the next step of operation; 3. These detectors currently on the market generally only have a single function, and each The detection instruments all have different operation interfaces and button methods, which are difficult to use

At present, the existing household sphygmomanometer only compares the blood pressure value obtained by a single measurement, and does not analyze the long-term change of blood pressure, so it cannot fully reflect the health status of the human body

The reason is that this method of comparing the historical average blood pressure with the measured blood pressure has the following problems: 1. The conclusion of the analysis is inaccurate and cannot reflect the sudden fluctuation of the user's blood pressure, so it is easy to ignore potential blood pressure problems 2. Because the user's blood pressure is greatly affected by other factors (such as age, etc.), the conclusion drawn by comparing it with the average value seems inaccurate; 3. In the face of the professional numerical analysis detected by the blood pressure meter, it is difficult for regular users Know first-hand what their health data means

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