TWM648086U - Body trajectory movement record recognition and trajectory big data analysis system - Google Patents

Abstract

This creation is a body trajectory movement record recognition and trajectory big data analysis system, including a A motion trajectory detection device, a processing server device and a cloud data server. The action trajectory detection device is used to detect the user's guidance based on a specific action, and record and collect a body trajectory action to generate a body trajectory information. The processing servo device is used to analyze and record limb trajectory information, and generate limb trajectory identification data exclusive to the user. The cloud data server is used to receive the user's body trajectory recognition data, perform data analysis and data integration of robot intelligent learning based on the body trajectory recognition data, and analyze and generate a corresponding health graph to confirm the user's health status. physical condition.

Description

Body trajectory movement record recognition and trajectory big data analysis system

This creation is about a body trajectory movement record recognition and trajectory big data analysis system. In particular, it is a system that can effectively digitize the body movements of the subject, and record and efficiently evaluate the digitized body movement data. Trajectory action record identification and trajectory big data analysis system.

A person's physical health status can be generally seen from the coordination of body movements. Therefore, there are many health assessment methods that will guide the examinee to perform related preset actions. These actions can be continuous actions or segmented actions. The doctor will evaluate the subject's movements on the side, and finally use the evaluation results to diagnose the health condition of the subject.

However, such a diagnosis is quite time-consuming for doctors, and the relevant examinations are all directly observed and evaluated by doctors with the naked eye. They cannot record every physical movement of the subject in a digital way, so the evaluation report obtained cannot be detailed. The data is used as the evaluation of the inspection standard, and it is easy to misjudge with the naked eye, resulting in distortion of the evaluation results.

Therefore, how to provide a method that can effectively digitize the body movements of the subject, and record and efficiently evaluate the digitized body movement data, so that the assessment report has detailed data as the assessment of the inspection standards, increasing the number of inspections The efficiency and avoidance of misjudgments in inspection will be the issues and focus of this case.

One of the purposes of this creation is to provide a body trajectory movement record recognition and trajectory big data analysis system that can effectively digitize the subject's body movements.

Another purpose of this creation is to provide a body trajectory action record recognition and trajectory big data analysis system for the evaluation report with detailed data as a test standard.

Another purpose of this creation is to provide a body trajectory movement record recognition and trajectory big data analysis system that increases the efficiency of inspection and avoids misjudgments in inspection.

This creation is a body trajectory movement record recognition and trajectory big data analysis system, which is based on a user's body trajectory movement and analyzes the user's physical state. The system includes a movement trajectory detection device, a processing server device and a cloud data server. The action trajectory detection device is used to detect the user's guidance according to a specific action, and record and collect body trajectory actions to generate a body trajectory information. The processing servo device includes a signal transmission unit and a processing unit. The signal transmission unit is used for signal connection to the movement trajectory detection device and for receiving the body trajectory information. The processing unit is used to analyze and record the limb trajectory information, and generate limb trajectory identification data exclusive to the user. The cloud data server is signal-connected to the signal transmission unit and is used to receive the user's body trajectory recognition data, and perform data analysis and data integration for robot intelligent learning based on the body trajectory recognition data to analyze and generate corresponding data. A health graphic chart for confirming the user's physical status.

The above-mentioned body trajectory movement record recognition and trajectory big data analysis system further includes an action guidance device, which is signal-connected to the signal transmission unit for guiding the user to perform the preset specific action. , wherein the processing server device further includes a database for storing the information corresponding to the specific action. A guidance image data is provided to the action guidance device, and is received and displayed by the action guidance device.

As mentioned above, the body trajectory movement record recognition and trajectory big data analysis system, wherein the movement guidance device is a virtual reality glasses or VR helmet or any transmission device for the user to mount on the head, and provide guidance for displaying said specific action.

As mentioned above, the body trajectory action record recognition and trajectory big data analysis system, wherein the action guidance device is a display device and is used to display the guidance of the specific action.

As mentioned above, the body trajectory action record recognition and trajectory big data analysis system, wherein the body trajectory identification data has a time record information and an action achievement rate information, wherein the processing unit includes a completion time recording module and an action Achievement rate record module. The completion time recording module is used to record the time when the user completes the body trajectory movement and generate the time recording information. The action achievement rate recording module is used to record the user's achievement rate of body trajectory actions and generate the action achievement rate information.

As mentioned above, the body trajectory movement record recognition and trajectory big data analysis system, wherein the movement trajectory detection device includes a dynamic capture camera, a depth camera or any multi-function camera, which is used for depth photography and capturing of the user. Body trajectory actions to analyze the body trajectory information.

As mentioned above, the body trajectory movement record recognition and trajectory big data analysis system, wherein the movement trajectory detection device includes a pressure sensor for the user to stand and for detecting the user's feet. Pressure distribution to analyze the limb trajectory information.

As mentioned above, the body trajectory movement record recognition and trajectory big data analysis system, wherein the movement trajectory detection device includes a strain gauge sensor, which is configured on the user and detects the user. Movement changes during movement to analyze the limb trajectory information.

As mentioned above, the body trajectory movement record recognition and trajectory big data analysis system, wherein the movement trajectory detection device includes a sensor for detecting changes in light and shadow when the user's movements change to analyze the body trajectory information.

As mentioned above, the body trajectory movement record recognition and trajectory big data analysis system, wherein the movement trajectory detection device includes a smart wearing device for detecting the user's guidance according to the specific movement. Physiological change data is provided to the processing unit, which is uploaded to the cloud data server. Data analysis and data integration of robot intelligent learning are performed based on the physiological change data to analyze and generate corresponding data. Describe the health graphics chart.

This case involves a body trajectory movement record recognition and trajectory big data analysis system that digitizes the user's body movements through a movement trajectory detection device and generates body trajectory recognition data. And the cloud data server generates corresponding health graphs based on the body trajectory recognition data. In this way, the user's body movements can be effectively digitized, and the digitized body movement data can be recorded and evaluated efficiently, so that the assessment report will have detailed data for evaluation of inspection standards, increasing the efficiency of inspection. and avoid misjudgments in inspections, and achieve all the above purposes.

1:Motion track detection device

11:Motion capture camera

12: Pressure sensor

13: Strain gauge sensor

14: Sensor

15:Smart loading device

2: Handle the servo device

21: Signal transmission unit

22: Processing unit

221:Complete time record module

222: Action achievement rate record module

23:Database

3: Cloud data server

Figure 1 shows a block diagram of a body trajectory action record recognition and trajectory big data analysis system in this case; and Figure 2 shows the action trajectory detection of the body trajectory action record recognition and trajectory big data analysis system in Figure 1 Block diagram of the device.

This case is a body trajectory movement record recognition and trajectory big data analysis system, which is based on a user's body trajectory movements and analyzes the user's physical state. Please refer to Figure 1, which includes a movement trajectory detection device 1, a processing server device 2, a cloud data server 3 and an action guidance device 4, where the action guidance device 4 is used to guide the user Perform a preset specific action. The motion trajectory detection device 1 is used to detect the user's body trajectory movements according to the guidance of specific movements, and record and collect the body trajectory movements to generate a body trajectory information. The processing server device 2 includes a signal transmission unit 21, a processing unit 22 and a database 23. The signal transmission unit 21 is used for signal connection to the motion trajectory detection device 1 and for receiving body trajectory information. The processing unit 22 is used to analyze and record limb trajectory information, and generate limb trajectory identification data unique to the user. The cloud data server 3 is connected to the signal transmission unit 21 and is used to receive the user's body trajectory recognition data, and perform data analysis and data integration for robot intelligent learning based on the body trajectory recognition data to analyze and generate a corresponding Health graphs are used as reference data to confirm the user's physical status. The database 23 further stores a guidance image data corresponding to a specific action, and the action guidance device 4 is signal-connected to the signal transmission unit 21 and can receive the guidance image data and display it.

The body trajectory recognition data has a time record information and an action achievement rate information, and the processing unit 22 in this example includes a completion time recording module 221 and an action achievement rate recording module 222. The completion time recording module 221 is used to record the time when the user completes the body trajectory movement and generate the time recording information. The action achievement rate recording module 222 is used to record the user's achievement rate of body trajectory actions and generate the action achievement rate information.

In this example, the motion guidance device 4 is a virtual reality glasses, which is mounted on the user's face. The user can be in the virtual reality and use AR/VR/MR or any virtual image prompt guidance. , so that the user Perform a preset specific action. Of course, the action guidance device 4 in this example can also be a display device (such as a projector or a screen), and is used to display guidance for the specific action.

Referring also to FIG. 2 , in this example, the motion trajectory detection device 1 includes a motion capture camera 11 , a pressure sensor 12 , a strain gauge sensor 13 , a sensor 14 and a smart wearing device 15 . The dynamic capture camera 11 in this example can be a camera, a multi-function camera, a depth camera or a depth camera, which is used for depth photography and capturing the user's body trajectory movements to analyze body trajectory information. The pressure sensor 12 is used for the user to stand and detect the pressure distribution of the user's feet to analyze limb trajectory information. The strain gauge sensor 13 is configured on the user's body and detects movement changes during the user's movements to analyze the body trajectory information. In this example, the sensor 14 is a laser projector or an infrared sensor, which can detect changes in light and shadow when the user moves to analyze body trajectory information.

In this example, the smart wearable device 15 can be a health bracelet watch (such as an Apple watch), which can detect physiological change data (such as changes in blood pressure, respiration, heartbeat, etc.) when the user is guided by the specific action. ;

This case is a body trajectory movement record recognition and trajectory big data analysis system that digitizes the user's body movements through a movement trajectory detection device and generates body trajectory recognition data, and can be used with virtual reality glasses, projectors or screens Conduct guidance for specific actions and digitize the guidance process. In addition, the user's movements, concentration balance and body trajectories can be detected through the motion trajectory detection device, and the cloud data server generates corresponding health graphs based on the body trajectory recognition data. In this way, the user's body movements can be effectively digitized, and the digitized body movement data can be Record keeping and efficient assessment, so that the assessment report has detailed data for the assessment of inspection standards, increasing the efficiency of inspection and avoiding misjudgment of inspection, and achieving all the above purposes.

The embodiments of this invention are described above, but they are not intended to limit the scope of the patent rights claimed by this invention. The scope of patent protection shall depend on the appended patent application scope and its equivalent fields. Any changes or modifications made by those with ordinary knowledge in the art without departing from the spirit or scope of this patent shall be equivalent changes or designs completed within the spirit disclosed in this invention, and shall be included in the following patent application scope. within.

1:Motion track detection device

2: Handle the servo device

21: Signal transmission unit

22: Processing unit

221:Complete time record module

222: Action achievement rate record module

23:Database

3: Cloud data server

Claims (10)

A body trajectory movement record recognition and trajectory big data analysis system is based on the body trajectory movements of one or more users and analyzes the user's physical status. The system includes: a movement trajectory detection device for Detect the user's guidance according to a specific action, and record and collect body trajectory movements to generate body trajectory information; a processing server device includes: a signal transmission unit for signal connection to the action trajectory detection device , and for receiving the body trajectory information; and a processing unit for analyzing and recording the body trajectory information, and generating a body trajectory identification data exclusive to the user; and a cloud data server, for communicating with the signal transmission unit Signal connection is used to receive the user's body trajectory recognition data, and perform data analysis and data integration of the robot's intelligent learning based on the body trajectory recognition data to analyze and generate a corresponding health graph to confirm the user's body condition. The body trajectory action record recognition and trajectory big data analysis system as described in claim 1 further includes an action guidance device that is signal-connected to the signal transmission unit for guiding the user to perform the preset specific action. , wherein the processing server device further includes a database for storing a guidance image data corresponding to the specific action, and provides it to the action guidance device, and is received and displayed by the action guidance device. The body trajectory movement record recognition and trajectory big data analysis system as described in claim 2, wherein the movement guidance device is a virtual reality glasses, VR helmet or any transmission device for the user to mount on the head , and provide guidance for displaying that specific action. The body trajectory action record recognition and trajectory big data analysis system as described in claim 2, wherein the action guidance device is a display device and is used to display guidance for the specific action. The body trajectory action record recognition and trajectory big data analysis system as described in claim 1, wherein the body trajectory recognition data has a time record information and an action achievement rate information, and the processing unit includes: a completion time record module, It is used to record the time when the user completes the body trajectory action and generate the time record information; and an action achievement rate recording module is used to record the achievement rate of the user's body trajectory action and generate the action achievement rate information. The body trajectory movement record recognition and trajectory big data analysis system as described in claim 1, wherein the movement trajectory detection device includes a dynamic capture camera, a depth camera or any multi-function camera for depth photography and capturing of the user body trajectory actions to analyze the limb trajectory information. The body trajectory movement record recognition and trajectory big data analysis system as described in claim 1, wherein the movement trajectory detection device includes a pressure sensor for the user to stand and for detecting the user's feet Pressure distribution to analyze the limb trajectory information. The body trajectory movement record recognition and trajectory big data analysis system as described in claim 1, wherein the movement trajectory detection device includes a strain gauge sensor for being disposed on the user and for detecting the user Movement changes during movement to analyze the limb trajectory information. The body trajectory movement record recognition and trajectory big data analysis system as described in claim 1, wherein the movement trajectory detection device includes a sensor for detecting light and shadow changes when the user's movements change to analyze the body trajectory information. The body trajectory movement record recognition and trajectory big data analysis system as described in claim 1, wherein the movement trajectory detection device includes a smart wearing device for detecting the user's guidance according to the specific movement. The physiological change data is provided to the processing unit, and the processing unit uploads it to the cloud data server. Based on the physiological change data, data analysis and data integration of the robot's intelligent learning are performed to analyze and generate the corresponding health graphic table. .

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