TWM508303U - Smart recognition device of physiological exercise information - Google Patents

Description

Physiological motion information intelligence identification device

A physiological motion information recognition device, in particular, a physiological motion information recognition device with self-set learning.

With the rapid aging of the population and chronic diseases, the population of mental and physical disabilities or old age in China has also increased dramatically, leading to a strong demand for long-term care. According to the household registration demographics of the Ministry of the Interior until December of 102, the proportion of the elderly population over 65 years old in China is 11.5%, and it is increasing year by year. It is estimated that after 20 years, the proportion of the elderly is twice that of the present. However, the number of elderly people who have long-term care and maintenance in the elderly is only 1.7% of the elderly population, indicating that most elderly people choose to stay at home. However, as the health status of the elderly declines and the social form changes, such as the growth of small families and living alone, how to provide adequate and appropriate care services at home will be the direction of future policy planning.

In recent years, the global health care industry has changed, and the health care service has shifted from the traditional hospital bedside service to the home care and life service of chronic diseases. The focus of attention has also shifted from emergency treatment to preventive health care. Think about the development of a health care system. The application of the communication technology to preventive health care, medical care and related services has become more and more extensive, and it has become one of the important strategies that are expected in the future to address the needs of health care. "Telecare" is a combination of medical care, communication technology, and electronic medical equipment. Getting people to get health care and preventive health care services in a familiar community and home environment is a trend in the development of medical technology and service industries in countries around the world.

Modern people are paying more and more attention to their own health checks, and for physiological information that requires regular examinations, such as blood sugar, blood pressure, heartbeat, etc., it must be detected by people at home. Through home-based electronic physiology measuring instruments, such as electronic sphygmomanometers, blood glucose meters, etc., the measurer can easily grasp his body at home when he needs to know the physiological measurements such as blood pressure or blood sugar. Condition, to achieve convenient, rapid physiological measurements. Remote health care can provide remote health data collection and care guidance for the user, so that the user can prepare and prevent it earlier, which can reduce the chance and severity of the disease. Although the existing physiological data management method can be uploaded through the Internet, it is still necessary for the user to input the measured information into the website by himself, which is not only troublesome, but also has physiological movement information that is misinterpreted or not typed incorrectly. risk. In addition, traditional designs must be identified for specific physiological information models that have been developed. If the program does not cover the instrument that the user wants to identify, it will not be recognized. In addition, the identification system fails to provide an enhanced way of intelligent learning recognition ability, and cannot automatically adjust to improve the recognition ability according to the difference in shooting environment conditions.

Therefore, this creation provides a physiological movement information intelligent identification device for self-set learning, which can increase the accuracy of identifying physiological motion information, and can directly upload physiological exercise information through the network through wired or wireless means, thereby effectively avoiding human error. The case of interpretation or mis-keying occurs.

The physiological motion information recognition device of the present invention can meet the related requirements for application of physiological information measurement or motion measurement information storage. Develop the design through software and hardware, the physiology of this creation The related applications of the sports information recognition device can be installed on a desktop computer, a notebook computer, a tablet computer, a smart phone, and the like. In addition, the physiological motion information recognition device of the present invention provides a mechanism for the user to set the system identification program parameters developed by the user, and can be shared to others by uploading the cloud (server).

According to an embodiment of the present invention, a physiological motion information intelligent identification device includes a physiological motion information measuring device, a system host, and a server. The physiological motion information measuring device is used to measure the physiological motion information of the user and display the physiological motion information. The system host includes at least: an image capturing module for capturing physiological motion information displayed by the physiological motion device; and an image recognition module for identifying physiological motion information captured by the image capturing module; A network transmission module for transmitting identified physiological motion information. The server is configured to receive and store physiological motion information transmitted by the network transmission module.

In one embodiment, the physiological motion information measuring device can be a weight scale, a body fat meter, a blood pressure meter, a blood glucose meter, a thermometer, a blood oxygen concentration meter, a sports bracelet, a sports watch, a pedometer, a treadmill or a bicycle machine. .

In one embodiment, the server is a cloud server.

In one embodiment, the physiological motion information measuring device includes a measurement module and a display module. The measurement module is used to measure the physiological movement information of the user, and the display module can display the physiological movement information obtained by the measurement.

In one embodiment, the system host further includes a central processing unit to control and execute the operations of the image capturing module, the image recognition module, and the network transmission module.

In one embodiment, the system host further includes an information display module to display the retrieved physiological motion information, and a database to provide a storage space.

In one embodiment, the system host further includes a user interface for the user to input or operate. The user operation interface may include an information recognition area to identify physiological motion information captured by the image capture module. The user operation interface may include an information measurement type menu for the user to select the correct physiological motion information measurement device. The user interface includes an identification item and a digital information area to display the identification item and digital information. The identification item and the digital information area display the identification item and the digital information according to the information measurement type menu. For example, a sphygmomanometer displays information such as systolic blood pressure, diastolic blood pressure, and pulse.

Furthermore, the creation of the physiological measurement or motion measurement information photos or videos obtained by the physiological movement information measuring device can be self-learned and increased by the user through setting the program parameters. The accuracy. The physiological motion information measuring device mainly distinguishes two parts, one is a physiological motion information measuring device with a display function, and includes a physiological measuring and motion measuring device. Physiological measuring devices, such as weight scales, body fat meters, sphygmomanometers, blood glucose meters, thermometers, blood oxygen concentration meters, etc.; exercise measuring devices, such as sports bracelets, sports watches, pedometers and fitness exercises that can display sports information equipment. The second is a system host with an identification function, which may include a central processing unit, an information display module, an image capture module, an image recognition module, a user operation interface, a data library, and a network transmission module. System hosts such as desktop computers, notebook computers, industrial computers, tablet computers, smart phones, etc.

In terms of application mode, firstly, the user uses the information displayed by the information smart identification device on the physiological motion information measuring device to perform the setting of the comparison position; then performs the identification and compares the obtained related information with Users input data to test each other back and forth, increasing their recognition accuracy. The system host can automatically establish the self-intelligent identification function by automatically recognizing or manually setting the adjustment. In addition, by inputting other relevant information of the equipment, such as measurement or calculation The type, brand, model and other information are set for the tag parameters and uploaded to the cloud (server) for sharing their smart ID settings to others.

The physiological motion information measuring device of the present invention has the following characteristics: (1) through the structural design method of the physiological motion intelligent identification device, in the interaction mode with the user, selecting the identification unit type and inputting the position of the image information to be recognized is completed. Identify the parameter settings of the program. (2) The accuracy and accuracy of the identification program can be improved by automatically learning to correct the relevant parameters with the number of measurements and the information that the user has input corrected, that is, the smart learning mode. Or manually set the adjustment to help achieve the establishment of the self-intelligence recognition function. (3) The programmed parameters of the completed program, the user can add the information of the relevant models such as the brand model as the tag parameters, upload to the cloud (server) storage, and share others. It can be used as a business model of priceless sharing or paid pricing. (4) Compared with other information identification system, this creation does not need to develop a large number of input recognition programs or related parameters in the system for different physiological information instruments, but set the development by users' needs. Or download the instrument setting parameters that others have developed by the cloud. In terms of the user side, the storage memory of the application can be reduced.

10‧‧‧ Physiological information intelligence identification device

11‧‧‧Physical exercise information measuring device

12‧‧‧System Host

13‧‧‧Server

21‧‧‧ Physiological exercise information measuring device

22‧‧‧Information Identification Area

23‧‧‧ camera pattern

24‧‧‧Information Measurement Type Menu

25‧‧‧Measurement display project

26‧‧‧ memory card icon

31‧‧‧ Identification project and digital information area

41‧‧‧ page number

42‧‧‧Sequence button

111‧‧‧Measurement module

112‧‧‧Display module

121‧‧‧Image capture module

122‧‧‧Image recognition module

123‧‧‧Network Transmission Module

124‧‧‧Information Display Module

125‧‧‧User interface

126‧‧‧Database

127‧‧‧ central processor

131‧‧‧Database

FIG. 1 is a schematic diagram showing a physiological motion information recognition device according to an embodiment of the present invention.

FIG. 2 is a schematic diagram showing a user operation interface for setting a smart identification program parameter by the physiological motion information recognition device according to an embodiment of the present invention.

FIG. 3 is a flow chart showing the parameter setting process of the smart identification program of the physiological motion information recognition device according to an embodiment of the present invention.

FIG. 4 shows the smart recognition of the physiological motion information recognition device according to an embodiment of the present invention. User interface diagram.

FIG. 5 is a flow chart showing the smart identification of the physiological motion information recognition device according to an embodiment of the present invention.

FIG. 6 is a schematic diagram showing the system operation of the physiological motion information recognition apparatus according to an embodiment of the present invention.

The above and other technical contents, features, and advantages of the present invention will become more apparent and understood.

1 shows a physiological motion information intelligent identification device 10 according to an embodiment of the present invention, which includes a physiological motion information measuring device 11, a system host 12, and a server 13. In one embodiment, the physiological motion information measuring device 11 includes a measurement module 111 and a display module 112. The measurement module 111 can measure the physiological motion information of the user, and the display module 112 displays the physiological motion information. The system host 12 includes at least an image capturing module 121, an image recognition module 122, and a network transmission module 123. The image capturing module 121 can capture the display by the display module 112 of the physiological motion information measuring device 11. The physiological motion information; the image recognition module 122 can recognize the physiological motion information captured by the image capturing module 121; the network transmission module 123 can transmit the recognized physiological motion information. The system host 12 can additionally include an information display module 124, a user operation interface 125, and a database 126. The information display module 124 can display the information displayed by the image recognition module 122. The user operation interface 125 can be used by the operator to set relevant parameters and select image modes. The database 126 can be used to store related materials. The server 13 can include a database 131 for receiving and storing physiological motion information transmitted by the network transmission module 123. The system host 12 can further include a central processing unit 127 for controlling and executing the image capturing module 121, the image recognition module 122, and the network transmission mode. The operation of group 123, information display module 124, user interface 125 and database 126.

The physiological motion information measuring device 11 may include a weight scale, a body fat meter, a blood pressure meter, a blood glucose meter, a thermometer, a blood oxygen concentration meter, and the like, and also includes a sports bracelet, a sports watch, a pedometer, and a fitness that can display sports information. Sports equipment, etc. The system host 12 can be an electronic device with an image capture function, such as a desktop computer, a notebook computer, an industrial computer, a tablet computer, a smart phone, and the like. Smart phones, etc.

Through the user interface 125, the user can set the identification program parameters, that is, provide the user with self-setting and learning functions. FIG. 2 is a schematic diagram showing a user operation interface of the physiological motion information recognition device of the embodiment for setting the parameter of the smart identification program. The physiological motion information measuring device 21 is a sphygmomanometer, and the user operation interface 125 is used as an example for description. FIG. 3 is a flow chart showing the parameter setting of the smart identification program of an embodiment. For example, the initial self-setting identification parameter can be performed as follows, and is described in conjunction with the user operation interface 125 of the physiological motion information measuring device of FIG. 2: (1) selecting a loading photo or instant photographing to obtain a recognition source. The user interface (screen) 125 of the system host (such as a smart phone) is shown in FIG. 2, and the touch option of the camera pattern 23 in the upper right corner is used to select a photo to be loaded or to take a photo. (2) Perform the category selection of the physiological motion information measurement type menu 24, such as the blood pressure meter selected in Figure 2, or other instruments or motion measurement devices in the drop-down list. Instruments such as weight scales, body fat meters, sphygmomanometers, blood glucose meters, thermometers, blood oxygen concentration meters, etc. Sports measuring devices such as sports bracelets, sports watches, pedometers and other sports equipment that can display sports information. After the selection is made, the items whose categories are to be displayed are displayed. For example, the sphygmomanometer measurement display item 25 has systolic blood pressure (SIS), diastolic blood pressure (DIA), pulse (Pulse), and date (Date). The brand, model, unit system (or country area) choose to determine its identification of physiological information categories. (3) Defining the position and length of the information identification area 22 The width, that is, the rectangular frame that identifies the information recognition area 22, is aligned and adjusted. (4) The identification object unit is set according to the display item, that is, according to the objects in the information identification area 22, such as numbers, characters, graphics, etc., which are defined as different recognition units, and the buttons are placed on the user operation interface to provide the setting identification category. . When setting the identification unit object, if it is a touch screen, the design is moved to the position to be recognized and the size of the identification frame is adjusted by dragging. If it is not a touch screen, you can click the button to operate. After the alignment box appears, use other buttons to adjust the position and the size of the identification box to complete the unit identification step. (5) Perform identification test and display identification results. (6) The user can perform a correction feedback mechanism, and the system performs the wisdom correction until the digital information is correct, or is corrected by the user in the self-operating mode. If the recognition screen is dynamic or exceeds two screens, you can cycle through this step and set it again. The interval time parameter can be a dynamic identification reference time reference. The identification screen page code 41 shown in FIG. 2 is "1", and the sequence button 42 "+" for executing the next identification screen is executed. (7) After the parameter setting is completed and the identification is correct, all the setting parameter results can be stored, for example, by using the memory card icon 26 in the upper right corner of FIG. 2 for storage. Or perform a continuous smart identification improvement mode. At the same time, the relevant brands and models of the identification instrument can be input as the identification code of the identification program for self-identification or sharing, and can be searched or recognized by others. The saved device identification program setting parameters can be queried and viewed in the set device form.

In addition to the above self-setting, the server 13 may download the sharing settings of others or obtain the setting parameters through the payment method, and then perform the identification. In addition, the smart learning identification mode can also be activated to improve the problem of low recognition accuracy caused by the environment. After downloading and saving, you can query in the form of the set device and view related details. It also appears in the device menu of the Identification function page, providing immediate user action.

After completing the parameter setting of the smart identification program, the identification function is executed, and the digital information correction is performed when an error occurs. 4 is a schematic diagram showing a user operation interface for performing smart identification in an embodiment. FIG. 5 is a flow chart showing the execution of smart identification in an embodiment. As described above, before displaying the information for the device to be identified, the user must be able to complete the development of the identification parameter setting, or the cloud (server) can find the brand and model of the device to be identified, and then download the identification program data. . At this time, the identification function can be performed after clicking from the identification device form. (1) Start the identification function page. (2) Click on the identification device form. For example, the identification device selected in the information measurement type menu 24 of FIG. 4 is a sphygmomanometer. (3) The display information is automatically recognized in the screen alignment frame of the information recognition area 22. When the identification application function is enabled, the screen of the user operation interface 125 will display two main blocks, one is an instant shooting image capturing area, and the aiming frame of the information identification area 22 is provided for the user to adjust and adjust the angle and the distance. (size), at the same time, the frame of each identification unit can be emerged, and the system can automatically interpret the best photographing time (good alignment state) or manually perform photographing by the user. (4) After the identification is completed, the analyzed digital information is displayed. Another block in the screen of the user operation interface 125 is the identification item and the digital information area 31 presented along with the identification. As shown in FIG. 4, information such as systolic pressure, diastolic pressure, and pulse after identification is displayed in the identification item and the digital information area 31. (5) Perform digital information input correction. If the digital information of the identification result is incorrect, the user can input the correct number for the establishment of the intelligent learning recognition ability and improve the accuracy. If the digital information is correct, directly perform (6) automatic intelligent learning. If the dynamic capture mode (above two screens), the presentation mode of the instant shooting image area is presented by multiple consecutive capture images, and the page of page capture and page number 41 are used to display the capture order page, and the system can intelligently detect each A picture changes to make the next capture. In the multiplex processing mode, the identification result after capturing the picture is immediately presented in the identification item and the digital information area 31. The entire dynamic capture identification is completed within the number of items. (7) After the user confirms that all the information is correct, the data is automatically stored.

After completing the identification function and smart learning, upload the set program parameters. (1) After accumulating enough recognition times and reaching the required discrimination accuracy, the application side (system side) will allow the user to upload and share. (2) Check the upload from the device menu that has been set. The application will actively remind the unfilled information (brand, model), and the system will upload it immediately after the user inputs and confirms. (3) The system upload program parameter server 13 completes the storage operation.

The above system operation can organize the schematic diagram of the system operation flow as shown in FIG. 6. In the preparation stage of the device identification program, you can find the brand model of the device to be identified from the cloud and download the identification program. Or the user can set the parameters of the smart identification program. Secondly, in the implementation of the identification function and the intelligent learning phase, the correct device is selected from the identification device form to start the relevant program, and the digital information correction is used to assist the intelligent identification learning. In the stage of uploading the set program parameters, when the recognition accuracy and the number of times are up to the default standard, you can check the upload in the identified device menu, upload the program parameters to the server to complete the storage action, and share the smart identification program with others. Settings.

The physiological motion information intelligent identification device of the present invention can directly capture the physiological motion information measured by the physiological motion information measuring device by using various existing fixed or handheld electronic smart devices, and can identify and directly recognize the physiological motion information. The information is uploaded to the cloud or related websites for statistical, analysis and storage. This way users do not need to type information themselves, which simplifies the steps and avoids the chance of typing incorrect information. In addition, the identification device of the present invention can provide an enhanced way of intelligent learning recognition ability, and automatically adjusts according to the difference of shooting environment conditions, thereby effectively improving the recognition ability.

The technical content and technical features of this creation have been disclosed above, however, the field has Generally, the technical person of knowledge may still make various substitutions and modifications based on the teachings and disclosures of the creation without departing from the spirit of the creation. Therefore, the scope of the present invention is not limited to the embodiments disclosed, but includes various alternatives and modifications that do not depart from the present invention and are covered by the following claims.

10‧‧‧ Physiological information intelligence identification device

11‧‧‧Physical exercise information measuring device

12‧‧‧System Host

13‧‧‧Server

111‧‧‧Measurement module

112‧‧‧Display module

121‧‧‧Image capture module

122‧‧‧Image recognition module

123‧‧‧Network Transmission Module

124‧‧‧Information Display Module

125‧‧‧User interface

126‧‧‧Database

127‧‧‧ central processor

131‧‧‧Database

Claims (11)

A physiological motion information intelligent identification device comprises: a physiological motion information measuring device, measuring a physiological motion information of a user, and displaying the physiological motion information; a system host, comprising: an image capturing module, capturing The physiological motion information displayed by the physiological motion information measuring device; an image recognition module for identifying physiological motion information captured by the image capturing module; and a network transmission module for transmitting the identified physiological motion information And a server for receiving and storing physiological motion information transmitted by the network transmission module. The physiological motion information intelligent identification device according to claim 1, wherein the physiological motion information measuring device is a weight scale, a body fat meter, a blood pressure meter, a blood glucose meter, a thermometer, a blood oxygen concentration meter, a sports bracelet, a sports watch, Pedometer, treadmill or bicycle. The physiological motion information intelligent identification device according to claim 1, wherein the server is a cloud server. The physiological motion information intelligent identification device according to claim 1, wherein the physiological motion information measuring device comprises: a measuring module for measuring physiological physiological information of the user; and a display module for displaying the measured result Physiological exercise information. The physiological motion information intelligent identification device according to claim 1, wherein the system host further comprises a central processing unit for controlling and executing the operation of the image capturing module, the image recognition module and the network transmission module. The physiological motion information intelligent identification device according to claim 1, wherein the system host further comprises an information display module to display the captured physiological motion information. The physiological motion information intelligent identification device according to claim 1, wherein the system host further comprises a user operation interface for the user to input or operate. The physiological motion information intelligent identification device according to claim 7, wherein the user operation interface includes an information recognition area to identify physiological motion information captured by the image capture module. The physiological motion information intelligent identification device according to claim 7, wherein the user operation interface comprises an information measurement type menu for the user to select a correct physiological motion information measurement device. The physiological motion information intelligent identification device according to claim 9, wherein the user operation interface comprises an identification item and a digital information area to display the identification item and the digital information. The physiological motion information intelligent identification device according to claim 10, wherein the identification item and the digital information area display the identification item and the digital information according to the information measurement type menu.