A posture detection method, device and equipment based on Internet of Things and storage medium

Abstract

The application discloses a posture detection method and device based on Internet of Things, equipment and storage medium, relates to the technical field of posture detection.The posture detection method based on Internet of Things comprises the following steps: S1, acquiring data measured by an inertial element; S2, transmitting the acquired data into a processor for processing to obtain posture information.The application greatly reduces the volume and mass of a body sensing game device by using a microprocessor and an integrated inertial element, is convenient for users to carry and use at any time, reduces the discomfort of users caused by wearing the body sensing game device, realizes the reduction of the volume of the wearing device by using the inertial element and the microprocessor, and the wearing device is suitable for various types of games, the user posture changes smoothly when the game app interface is displayed by using the Kalman filtering algorithm, and the problems that the device used in the body sensing game is inconvenient to carry and the application range is small in the prior art are solved.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of posture detection, and particularly relates to a posture detection method and device based on the Internet of Things, equipment and a storage medium. BACKGROUND

[0002] With the progress and development of science and technology, the market position of motion games is gradually rising and is more and more popular. Since Hudson launched the Famicom Disk System motion game in 1986-1989, the types of motion game devices have become more and more diverse, and the functions have become more comprehensive. These motion games usually use various sensors distributed on smart wearable devices to obtain posture information of users, and upload the posture information to the game for motion game. The smart wearable device market has grown rapidly since 2012, and in the past 10 years, more and more players have joined, and smart wearable device products have greatly improved and improved in terms of technology and use experience for motion games. Smart watches are one of the main representatives of smart wear, and are widely welcomed under the support of functions such as health monitoring, step counting, phone calling, positioning, and smart home linkage.

[0003] The existing smart wearable devices used for motion games are generally special clothes with sensors, and sensors are arranged at key positions such as wrist, elbow and waist to achieve the purpose of obtaining user posture information.

[0004] For example, the body motion game device disclosed in CN108854065A includes a game host, a display screen, a motion acquisition device, an environment quality control device, an environment monitoring device, and a cloud server connected with the game host. The game host is used to generate a control operation corresponding to the body motion in the game picture displayed on the display screen according to the body motion collected by the motion acquisition device. The environment monitoring device is used to detect the temperature and humidity in the game space and send them to the game host. The game host is used to send the received temperature and humidity to the cloud server. The cloud server is used to set the temperature threshold of the game space and send the temperature threshold to the game host. The game host is used to control the environment quality control device to adjust the temperature in the game space to the temperature threshold according to the temperature threshold.

[0005] For example, the publication number: CN105327505A discloses a body sense game control device and its control method, including a wearing ring for wearing on the user's body part, the wearing ring includes a main ring and a plurality of auxiliary rings, a sensor module, a controller, a wireless communication module, a power module, a storage module and a feedback module are arranged in each wearing ring. By setting the wearing ring for wearing on the user's body part, the movement trajectory of the body part and the distance of each body part are obtained by the sensor module, sent to the main ring by the auxiliary ring, and sent to the controller of the game device by the main ring.

[0006] For example, the publication number: CN115068938A discloses a body sense game method based on jumping action, after the preset jumping type body sense game is started, the player posture data detected by the body sense device is acquired; the player posture data is imported into the preset jumping action recognition model, whether the jumping amplitude of the player meets the preset jumping action requirement is judged; if yes, the player posture data is converted into game jumping instruction; the game jumping instruction is used to control the game character of the player to execute corresponding jumping action.

[0007] But the present inventors in the process of implementing the technical scheme of the present embodiment, found that the above-mentioned technology at least has the following technical problems:

[0008] The existing body sense game device has a relatively large volume, which greatly limits the use scene and is not conducive to playing games anytime and anywhere; the existing intelligent wearable body sense game device has many wearing rings, which leads to a complicated wearing process and cannot provide users with the experience of playing games anytime and anywhere; the existing jumping type body sense game device can only obtain single posture, which leads to a small range of applicable games. In summary, the existing body sense game device is not convenient to carry and has a small range of applicable games. SUMMARY

[0009] The present embodiment provides a posture detection method based on Internet of Things, which solves the problem of the existing body sense game device being not convenient to carry and having a small range of applicable games, and achieves the reduction of the volume of the wearable device by using inertial elements and microprocessors, and the device is applicable to various types of games.

[0010] The present embodiment provides a posture detection method based on Internet of Things, which includes the following steps:

[0011] S1: obtaining data measured by an inertial element;

[0012] S2: transmitting the obtained data into a processor for processing to obtain posture information.

[0013] Further, the specific steps of S1 are:

[0014] S101: connecting a game app through Bluetooth;

[0015] S102: When the game selected by the user is started, the inertial element is started and begins to measure the user's motion;

[0016] S103: Collect the data measured by the inertial element.

[0017] Further, the specific steps in S2 are:

[0018] S201: The data collected in S1 is transmitted into the processor;

[0019] S202: The processor processes the incoming data and outputs game data;

[0020] S203: The processor encapsulates the game data and transmits it into the game app through Bluetooth.

[0021] Further, the processor in S2 includes a data processing program;

[0022] The data transmitted into the processor is converted by the data processing program to obtain the required gesture data for the game.

[0023] Further, the data conversion method refers to integrating the direction information, vibration information, acceleration, speed, angular velocity, and movement distance measured by the inertial element to obtain the spatial motion trajectory data required by the game, and then encapsulating the spatial motion trajectory data and transmitting it into the game to proportionally restore the spatial motion trajectory in the game.

[0024] Further, the data conversion method includes a Kalman filter algorithm.

[0025] The Kalman filter algorithm is used to predict the position where the user will appear next based on inertia.

[0026] Further, the inertial element and the processor are connected by a communication bus in an electrical connection manner.

[0027] The embodiments of the present application provide a gesture detection device based on the Internet of Things, which comprises an acquisition module and a processing module:

[0028] The acquisition module is used to acquire data measured by an inertial element;

[0029] The processing module is used to transmit the acquired data into a processor for processing to obtain gesture information.

[0030] An embodiment of the present application provides a posture detection device based on the Internet of Things, wherein the posture detection device based on the Internet of Things is used to interact with data with a smart watch, and the posture detection device based on the Internet of Things includes: an inertial element, a processor, a communication bus, and a program for processing data stored in the processor;

[0031] The inertial element is used to obtain data obtained by inertial element testing during the user's movement;

[0032] The communication bus is used to realize the connection between the inertial element and the processor;

[0033] The processor is used to execute a program for processing data to implement a posture detection method based on the Internet of Things.

[0034] An embodiment of the present application provides a storage medium having a program for processing data stored thereon;

[0035] When the data processing program is executed by the processor, a posture detection method based on the Internet of Things is implemented.

[0036] One or more technical solutions provided in the embodiments of this application have at least the following technical effects or advantages:

[0037] 1. The use of the QMI8658C gyroscope technology, which integrates a gyroscope and an accelerometer, effectively solves the problem in the existing technology that the equipment used for somatosensory games is not easy to carry and has a small range of applicable games. It also achieves the goal of reducing the size of wearable devices and making them suitable for various types of games by using inertial components and microprocessors.

[0038] 2. Since the MCU chip model XC6652 is used as the micro control unit technology of the detection equipment, the problem that the existing somatosensory game devices are large in size and inconvenient to carry is effectively solved. In addition, the device occupies a very small space in the somatosensory game device, thereby freeing up the larger size of the somatosensory game device, making it easier for users to experience different somatosensory games anytime and anywhere.

[0039] 3. By using the Kalman filter algorithm to predict the next action corresponding to the previous encapsulated package, the problem of game app interface display action jamming caused by the discontinuous acquisition of encapsulated data packets is effectively solved, thereby achieving smooth user posture changes when the game app interface is displayed, improving the user experience. BRIEF DESCRIPTION OF THE DRAWINGS

[0040] Figure 1 A flowchart of a posture detection method based on the Internet of Things provided in Example 1 of the present application;

[0041] Figure 2A schematic diagram of the structure of a posture detection device based on the Internet of Things provided in Example 2 of the present application;

[0042] Figure 3 This is a schematic diagram of the structure of the IoT-based posture detection device provided in Example 3 of the present application. DETAILED DESCRIPTION

[0043] The embodiments of the present application provide a posture detection method based on the Internet of Things, which solves the problem in the prior art that the devices used for somatosensory games are not easy to carry and have a small range of applicable games. By using inertial elements and microcontrollers in the somatosensory game devices, the size of the wearable devices can be reduced and they can be applied to various types of games.

[0044] The technical solution in the embodiments of the present application is to solve the problem that the devices used for the above-mentioned somatosensory games are inconvenient to carry and have a limited range of applicable games. The overall idea is as follows:

[0045] By setting an IoT-based posture detection device on a somatosensory game device, the somatosensory game device is connected to a game app via Bluetooth, and using the inertial element in the posture detection device to measure the action data made by the user after opening the game app, these data are transmitted to the microprocessor in the posture detection device. The data processing program stored in the microprocessor processes the incoming data and converts it into spatial motion trajectory data, and then encapsulates the spatial motion trajectory data to obtain encapsulated data. The encapsulated data is transmitted to the game app via Bluetooth, completing the data interaction between the somatosensory game device and the game app, and realizing the display of the detected posture on the game app.

[0046] The interval of the above-mentioned encapsulated data transmission is calculated using the Kalman filter algorithm using the information in the last transmitted encapsulated data packet to obtain the position where the next action will appear according to inertia after the action in the previous data packet is completed. In this way, the game app can display the action without lag and with continuity.

[0047] The data processing program integrates the input direction information, vibration information, acceleration, speed, angular velocity, moving distance and other data to simulate a spatial motion trajectory.

[0048] In order to better understand the above technical solution, the above technical solution will be described in detail below with reference to the accompanying drawings and specific implementation methods.

[0049] Example 1

[0050] like Figure 1 FIG. 1 is a flow chart of a posture detection method based on the Internet of Things provided in an embodiment of the present application. The method is applied to a posture detection device based on the Internet of Things. The method includes:

[0051] Further, the method provided by the embodiment of the application can be used in a smart watch to achieve reduction of the volume of the wearable device and application to various types of games by using an inertial element and a microprocessor, and the specific steps are as follows:

[0052] S1: obtaining data measured by the inertial element;

[0053] S2: transmitting the obtained data into the processor to obtain posture information.

[0054] In the embodiment, when the smart watch worn on the wrist of a user starts a game for experience, the inertial element in the smart watch measures the motion data of the user, and then the data measured for the user motion is transmitted into the processor to obtain posture information.

[0055] Further, the specific steps of S1 are as follows:

[0056] S101: connecting a game app through Bluetooth;

[0057] S102: when the game selected by the user is started, the inertial element is started and begins to measure the motion of the user;

[0058] S103: collecting the data measured by the inertial element.

[0059] In the embodiment, after the smart watch is powered on by the user, a red light flashes once to remind the user that the smart watch has started to send a broadcast, and the user needs to use the game app to scan the broadcast of the smart watch and confirm the connection to complete the Bluetooth connection between the smart watch and the game app, that is, the smart watch and the game app support data interaction through Bluetooth.

[0060] When the user needs to experience a motion game and selects a motion game to be experienced, the inertial element in the smart watch is started and begins to measure the motion of the user.

[0061] The inertial element used by the smart watch is a gyroscope with a model of QMI8658C; the gyroscope includes a 3-axis gyroscope and a 3-axis accelerometer, is a complete 6D MEMS inertial system measurement unit (IMU) and 9-axis sensor fusion designated system level positioning accuracy; the tight board level gyroscope sensitivity of the gyroscope with the model is ±3%, the gyroscope noise density is 15 mdps / √Hz, the performance is higher, the delay is lower, the function is more, the volume is smaller, and the gyroscope is suitable for user selection and industrial use.

[0062] The data measured by the inertial element in the smart watch is collected, that is, the data is stored.

[0063] Further, the specific steps in S2 are as follows:

[0064] S201: the data collected in S1 is transmitted into a processor;

[0065] S202: the processor processes the incoming data and outputs game data;

[0066] S203: the processor encapsulates the game data and transmits it into a game app through Bluetooth.

[0067] In this embodiment, the data collected from the inertial element test is transmitted into the processor of the smart watch and processed by a specific method to convert the data into game data required by the game app, and then encapsulated by the processor of the smart watch and transmitted into the game app through Bluetooth.

[0068] After encapsulation, the coupling degree between the data and the game app is greatly reduced, which is convenient for direct use.

[0069] The processor used in the smart watch is a micro control unit, specifically an MCU chip of model XC6652; the chip XC6652 (MCU) is a low-power, high-performance and highly integrated SoC Bluetooth 5.0, which integrates a high-performance 2.4GHz radio frequency transceiver, supports 256K / 512K / 1M Byte FLASH and 96KB memory, and makes programmable protocol and configuration; since the micro control unit used is very small in size, it also occupies a small space in the device, which can greatly reduce the size of the device used.

[0070] Further, the processor in S2 includes a data processing program;

[0071] The data transmitted into the processor is converted into attitude data required by the game after being processed by the data processing program.

[0072] In this embodiment, the processor of the smart watch stores a data processing program, and the measurement data transmitted into the processor is processed by the program, and the data processed by the program is converted into attitude data required by the game.

[0073] Further, the data conversion method refers to integrating the direction information, vibration information, acceleration, speed, angular velocity and movement distance measured by the inertial element to obtain spatial motion trajectory data required by the game, and then encapsulating the spatial motion trajectory data and transmitting it into the game to restore the spatial motion trajectory in the game.

[0074] In this embodiment, the data processing program in the smart watch integrates the incoming measurement information such as direction information, vibration information, acceleration, speed, angular velocity, moving distance, etc., simulates a spatial motion trajectory, and encapsulates this spatial motion trajectory data. The data is then transmitted to the game app via Bluetooth. The game app will unpack the data packet, obtain the spatial motion trajectory data therein, and then restore it in proportion in the game, thereby achieving limb swinging, tapping, jumping and other actions in the game to adapt to various types of somatosensory games.

[0075] Furthermore, the data conversion method includes a Kalman filter algorithm;

[0076] The Kalman filter algorithm is used to predict the location where the user's next action will occur based on inertia.

[0077] In this embodiment, the user action information during the interval between the smart watch and the game app transmitting the encapsulated data packets needs to be predicted by the Kalman filter algorithm to ensure the continuity of the actions displayed on the game interface; the Kalman filter algorithm is stored on the processor, and the processor processes the predicted result of the next action and then sends it to the game app, which displays the action.

[0078] In this embodiment, the inertial element and the processor, the inertial element and the storage medium, and the processor and the storage medium are all electrically connected via a communication bus.

[0079] The technical solutions in the above-mentioned embodiments of the present application have at least the following technical effects or advantages: by using a microprocessor and an integrated inertial element, the volume and weight of the somatosensory gaming device are greatly reduced, making it easier for users to carry and use at any time, and reducing the discomfort caused to users by wearing the somatosensory gaming device.

[0080] Example 2

[0081] like Figure 2 , which is a structural diagram of a posture detection device based on the Internet of Things provided in an embodiment of the present application, includes an acquisition module and a processing module:

[0082] Acquisition module: used to obtain data measured by inertial components;

[0083] Processing module: used to transfer the acquired data to the processor for processing to obtain posture information.

[0084] In this embodiment, the Bluetooth connection path for data exchange between the somatosensory game device and the game app is first obtained through the acquisition module, and then the data measured by the inertial component is obtained. The acquired data is then transmitted to the processor through the processing module for processing to obtain posture information, and is encapsulated into a data packet and sent to the game app via Bluetooth. After the encapsulated data packet is transmitted, the Kalman filter algorithm is also needed to calculate the data packet that has just been transmitted to predict what the next user action will be based on inertia after the action in the data packet is completed.

[0085] The technical solutions in the above embodiments of the present application have at least the following technical effects or advantages:

[0086] By using the Kalman filter algorithm to predict the next action corresponding to the previous encapsulated package, the problem of action display jamming on the game app interface caused by discontinuous acquisition of encapsulated data packets is effectively solved. As a result, when user actions are displayed on the game app interface, the user's actions change smoothly without jamming, improving the user experience.

[0087] Example 3

[0088] like Figure 3 , which is a structural diagram of a posture detection device based on the Internet of Things provided in an embodiment of the present application. The posture detection device based on the Internet of Things is used to interact with data with a smart watch. The posture detection device based on the Internet of Things provided in an embodiment of the present application includes: an inertial element, a processor, a communication bus, and a program for processing data stored in the processor;

[0089] The inertial element is used to obtain data obtained from the inertial element test during the user's movement;

[0090] The communication bus is used to connect the inertial element and the processor;

[0091] The processor is used to execute a program for processing data to implement any step of the posture detection method based on the Internet of Things.

[0092] Among them, an embodiment of the present application also provides a storage medium, on which a program for processing data is stored; when the program for processing data is executed by a processor, any step of the program for processing data is implemented.

[0093] In this embodiment, the data on the user's motion measured by the inertial element can be stored in a storage medium or directly transmitted to a processor for processing; the processor can directly obtain the data on the user's motion measured by a specified inertial element from the storage medium, and internally process the above data using a Kalman filter algorithm, and then transmit the data to an external game app; the storage medium will store the data processed by the processor.

[0094] The technical solutions in the embodiments of the present application have at least the following technical effects or advantages:

[0095] By adopting the gyro with model QMI8658C integrating a gyroscope and an accelerometer, the problem that the device used in the motion sensing game is inconvenient to carry and has a small applicable game range is effectively solved, and the volume of the wearable device is reduced and the device is applicable to various games by using the inertial element and the microprocessor.

[0096] By adopting the MCU chip with model XC6652 as the micro control unit of the detection device, the problem that the existing motion sensing game device has a large volume and is inconvenient to carry is effectively solved, the volume of the motion sensing game device is significantly reduced by occupying a small space of the motion sensing game device, and the user can experience different motion sensing games anytime and anywhere.

[0097] Those skilled in the art should understand that the embodiments of the present application can be provided as a module, a system or a computer program product. Therefore, the present application can be in the form of a complete hardware embodiment, a complete software embodiment or an embodiment combining software and hardware aspects. Moreover, the present application can be in the form of a computer program product implemented on one or more computer usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer usable program codes.

[0098] The present application is described with reference to flowcharts and / or block diagrams of modules, devices (systems) and computer program products according to embodiments of the present application. It should be understood that each flow and / or block in the flowcharts and / or block diagrams, and the combination of flows and / or blocks in the flowcharts and / or block diagrams can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor or other programmable data processing device to produce a machine, so that the instructions executed by the processor of the computer or other programmable data processing device produce a means for implementing the functions specified in the flowcharts and / or block diagrams. Figure 1 one or more flows and / or blocks Figure 1 a module that performs the functions specified in one or more flows and / or blocks.

[0099] These computer program instructions can also be stored in a computer readable storage medium that can direct the computer or other programmable data processing device to work in a specific manner, so that the instructions stored in the computer readable storage medium produce a product including instruction modules, which implement the functions specified in the flowcharts and / or block diagrams. Figure 1 one or more flows and / or blocks Figure 1 a module that performs the functions specified in one or more flows and / or blocks.

[0100] These computer program instructions can also be loaded into a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart block or blocks. Figure 1 Figure 1

[0101] Although preferred embodiments of the application have been described herein, it will be apparent to those skilled in the art that various modifications can be made within the scope of the application without departing from the spirit of the application. Accordingly, it is intended that all such possible modifications be included within the scope of the application as defined in the following claims in which the use of the singular includes the plural, the use of "or" means "and / or", and the use of "one of' means "one, two, three, or more".

[0102] Obviously, numerous modifications and variations of the present application are possible in light of the above teachings. It is therefore to be understood that within the scope of the appended claims and their equivalents, the application can be practiced otherwise than as specifically described.​​

Claims

1. A posture detection method based on Internet of Things, characterized in that, It comprises the following steps: S1: acquiring data measured by an inertial element; S2: transmitting the acquired data into a processor for processing to obtain attitude information; The inertial element and the processor are connected by a communication bus in an electrical connection manner. The inertial element and the processor are connected by a communication bus in an electrical connection manner. The inertial element and the processor are connected by a communication bus in an electrical connection manner. The inertial element and the processor are connected by a communication bus in an electrical connection manner. The inertial element and the processor are connected by a communication bus in an electrical connection manner. The inertial element and the processor are connected by a communication bus in an electrical connection manner. The inertial element and the processor are connected by a communication bus in an electrical connection manner. The inertial element and the processor are connected by a communication bus in an electrical connection manner. The inertial element and the processor are connected by a communication bus in an electrical connection manner.

2. The method of claim 1, wherein: The inertial element and the processor are connected by a communication bus in an electrical connection manner. The inertial element and the processor are connected by a communication bus in an electrical connection manner. The inertial element and the processor are connected by a communication bus in an electrical connection manner. The inertial element and the processor are connected by a communication bus in an electrical connection manner.

3. The method of claim 1, wherein: The inertial element and the processor are connected by a communication bus in an electrical connection manner. The inertial element and the processor are connected by a communication bus in an electrical connection manner. The inertial element and the processor are connected by a communication bus in an electrical connection manner. The inertial element and the processor are connected by a communication bus in an electrical connection manner.

4. The method of claim 1, wherein: The inertial element and the processor are connected by a communication bus in an electrical connection manner.

5. A posture detection apparatus based on Internet of Things, applying the posture detection method based on Internet of Things as claimed in any one of claims 1-4, characterized in that, The inertial element and the processor are connected by a communication bus in an electrical connection manner. The inertial element and the processor are connected by a communication bus in an electrical connection manner. The inertial element and the processor are connected by a communication bus in an electrical connection manner. The inertial element and the processor are connected by a communication bus in an electrical connection manner. The inertial element and the processor are connected by a communication bus in an electrical connection manner. The inertial element and the processor are connected by a communication bus in an electrical connection manner. The inertial element and the processor are connected by a communication bus in an electrical connection manner. 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The inertial element and the processor are connected by a communication bus in an electrical connection manner 6. A posture detection device based on Internet of Things, characterized in that, The posture detection device based on Internet of Things is used for data interaction with a smart watch, and comprises an inertial element, a processor, a communication bus and a program for processing data stored in the processor; The inertial element is used for obtaining data tested by the inertial element during user movement; The communication bus is used for connecting the inertial element and the processor; The processor is used for executing the program for processing data to realize the steps of the posture detection method based on Internet of Things in any one of claims 1 to 4.

7. A storage medium characterized by: The storage medium stores the program for processing data; The program for processing data is executed by the processor to realize the posture detection method based on Internet of Things in any one of claims 1 to 4.

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