CN108073287B - Motion monitoring method and device and wearable motion equipment - Google Patents
Motion monitoring method and device and wearable motion equipment Download PDFInfo
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F3/00—Input arrangements for transferring data to be processed into a form capable of being handled by the computer; Output arrangements for transferring data from processing unit to output unit, e.g. interface arrangements
- G06F3/01—Input arrangements or combined input and output arrangements for interaction between user and computer
- G06F3/011—Arrangements for interaction with the human body, e.g. for user immersion in virtual reality
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- G06F—ELECTRIC DIGITAL DATA PROCESSING
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- G06F1/1613—Constructional details or arrangements for portable computers
- G06F1/163—Wearable computers, e.g. on a belt
Abstract
The invention provides a motion monitoring method, a motion monitoring device and wearable motion equipment, and relates to the technical field of the wearable motion equipment, wherein the method comprises the following steps: a wearable athletic device for monitoring a user's athletic situation by the wearable athletic device comprising: a plurality of motion components wearable on a motion node of a user, each motion component being provided with a human-computer interaction interface; the method comprises the following steps: receiving motion data detected by a plurality of motion components in a wearable motion device; determining a motion type of the wearable motion device; respectively calculating the motion states of a plurality of motion parts according to the motion types and the motion data; determining the movement condition of a user according to the movement states of the plurality of movement parts; the movement is displayed so that the user can monitor his movement. The problem of in the prior art when involving hand and foot and using or whole body coordinated movement motion movement analysis inaccurate is solved, and the experience of the user is improved.
Description
Technical Field
The invention relates to the technical field of wearable sports equipment, in particular to a sports monitoring method and device and the wearable sports equipment.
Background
With the advancement of technology, wearable sports equipment gradually comes into the field of view of people. The wearable sports equipment has the functions of digitizing personal training processes of users, recording training data, virtual online games and the like, so that people can be stimulated to actively exercise the body. Most of the existing wearable sports equipment in the market is in a form of a bracelet or a watch, or hooks and binding bands are placed on clothes and shoes. These devices are typically worn at a single exercise node of the human body for taking steps, calculating calories, running, riding, swimming, etc., and analyzing.
However, such exercises as swimming require the use of both arms and feet, or coordinated exercises throughout the body, and if wearable exercise equipment is worn at only one exercise node, inaccuracy in analysis of the motion situation of the human body may be caused, and the user experience is not strong and the practicability is low.
Disclosure of Invention
In view of the above, the invention aims to provide a motion monitoring method, a motion monitoring device and a wearable motion device, which solve the problem of inaccurate motion analysis when hands and feet are involved in a coordinated motion or the whole body is coordinated in the prior art, and improve the experience of users.
In a first aspect, an embodiment of the present invention provides a motion monitoring method, configured to monitor a motion situation of a user through a wearable motion device, where the wearable motion device includes: a plurality of motion components wearable on a motion node of a user, each motion component being provided with a human-computer interaction interface; the method comprises the following steps: receiving motion data detected by a plurality of motion components in a wearable motion device; determining a motion type of the wearable motion device; calculating the motion states of a plurality of motion parts according to the motion types and the motion data; determining the movement condition of a user according to the movement states of the plurality of movement components; the movement is displayed to enable the user to monitor his movement.
With reference to the first aspect, the embodiment of the present invention provides a first possible implementation manner of the first aspect, wherein the motion type is determined by a user through the man-machine interaction interface in any motion component; or the motion type is calculated by any motion component through the motion data; or the type of motion is determined by the user via the user terminal.
With reference to the first aspect, an embodiment of the present invention provides a second possible implementation manner of the first aspect, where after the step of determining a movement condition of the user according to movement states of the plurality of moving parts, the method further includes: judging whether the current movement condition meets a preset movement standard or not; if not, prompting the user to adjust the movement condition.
In a second aspect, an embodiment of the present invention provides a motion monitoring apparatus for monitoring a motion situation of a user through a wearable motion device, where the wearable motion device includes: a plurality of motion components wearable on a motion node of a user, each motion component being provided with a human-computer interaction interface; the device comprises: the receiving module is used for receiving motion data detected by a plurality of motion components in the wearable motion equipment; a motion type determining module for determining a motion type of the wearable motion device; the calculation module is used for calculating the motion states of the plurality of motion components according to the motion type and the motion data; the motion condition determining module is used for determining the motion condition of the user according to the motion states of the plurality of motion components; and the display module is used for displaying the movement condition so that a user can monitor the movement condition of the user.
With reference to the second aspect, the embodiment of the present invention provides a first possible implementation manner of the second aspect, wherein the motion type is determined by a user through the man-machine interaction interface in any motion component; or the motion type is calculated by any motion component through the motion data; or the type of motion is determined by the user via the user terminal.
In a third aspect, an embodiment of the present invention provides a wearable sports apparatus, including: the system comprises a processor, a memory and a communication module, wherein the plurality of motion components are wearable on a motion node of a user, each motion component is provided with a human-computer interaction interface, the plurality of motion components are connected with the processor, the processor is connected with the memory, the communication module is connected with the processor, the memory is used for storing one or more computer instructions, and the processor is configured to execute the computer instructions in the memory so that the user can monitor the motion state of the user by the method according to any one of the embodiments.
With reference to the third aspect, an embodiment of the present invention provides a first possible implementation manner of the second aspect, where the method further includes: the charging storage box comprises a plurality of charging interfaces and an energy storage module, wherein the charging interfaces are respectively connected with the wearable movement equipment and the energy storage module, and electric energy in the energy storage module is charged for the wearable movement equipment through the plurality of charging interfaces.
With reference to the third aspect, an embodiment of the present invention provides a second possible implementation manner of the third aspect, wherein the communication module is mounted in the charging storage box, and the processor and the memory are mounted in the moving part.
With reference to the third aspect, an embodiment of the present invention provides a third possible implementation manner of the third aspect, where the charging storage box further includes: microphone sensors to monitor the sleep condition of the user.
With reference to the third aspect, an embodiment of the present invention provides a fourth possible implementation manner of the third aspect, wherein the plurality of moving parts further includes at least one of: a motion part worn on the foot, a motion part worn on the head, a motion part worn on the back or the chest, and a motion part worn on the hand.
The embodiment of the invention has the following beneficial effects: by wearing the moving parts at a plurality of moving nodes on the body of the user, all the moving parts are determined to be of the same moving type, the moving state of each moving node can be analyzed for the same moving type, and then the overall moving condition of the user is obtained according to the moving state of each node, so that the problem of inaccurate moving analysis when the user uses hands and feet or performs whole body coordinated movement in the prior art is solved, and the experience of the user is improved.
Additional features and advantages of the invention will be set forth in the description which follows, and in part will be obvious from the description, or may be learned by practice of the invention. The objectives and other advantages of the invention will be realized and attained by the structure particularly pointed out in the written description and claims hereof as well as the appended drawings.
In order to make the above objects, features and advantages of the present invention more comprehensible, preferred embodiments accompanied with figures are described in detail below.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings that are needed in the description of the embodiments or the prior art will be briefly described, and it is obvious that the drawings in the description below are some embodiments of the present invention, and other drawings can be obtained according to the drawings without inventive effort for a person skilled in the art.
FIG. 1 is a flow chart of a method for motion monitoring according to an embodiment of the present invention;
FIG. 2 is a schematic diagram of a motion monitoring method according to an embodiment of the present invention;
FIG. 3 is a flow chart of a motion monitoring method according to another embodiment of the present invention;
FIG. 4 is a block diagram of a wearable athletic device provided by one embodiment of the invention;
fig. 5 is a block diagram of a wearable sports apparatus according to another embodiment of the present invention;
fig. 6 is a block diagram of a charging storage box according to an embodiment of the present invention.
Detailed Description
For the purpose of making the objects, technical solutions and advantages of the embodiments of the present invention more apparent, the technical solutions of the present invention will be clearly and completely described below with reference to the accompanying drawings, and it is apparent that the described embodiments are some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
Most of the existing wearable sports equipment in the market is in a form of a bracelet or a watch, or hooks and binding bands are placed on clothes and shoes. These devices are typically worn at a single exercise node of the human body for taking steps, calculating calories, running, riding, swimming, etc., and analyzing. However, such exercises as swimming, requiring both arms and feet or coordinated exercises throughout the body, may cause inaccuracy in analysis of the motion situation of the human body and may result in a poor user experience if the wearable exercise device is worn at only one exercise node. Based on the above, the motion monitoring method, the motion monitoring device and the wearable motion equipment provided by the embodiment of the invention determine that all the motion parts are of the same motion type by wearing the motion parts at a plurality of motion nodes on the body of a user, can analyze the motion state of each motion node for the same motion type, and then obtain the overall motion condition of the user according to the motion state of each node, thereby solving the problem of inaccurate motion analysis when hands and feet are involved in the coordinated motion or the whole body is coordinated in the prior art and improving the experience of the user.
For the sake of understanding the present embodiment, first, a motion monitoring method disclosed in the present embodiment is described in detail, and referring to fig. 2, for monitoring a motion situation of a user through a wearable motion device 200, the wearable motion device 200 includes: a plurality of moving parts 250 wearable at a user's moving node, each moving part provided with a human-computer interaction interface;
referring to fig. 1, the method includes:
s110: motion data detected by a plurality of moving parts in a wearable motion device is received.
Specifically, the moving part 250 includes a plurality of sensors, and when the user performs the movement, the sensors may drive the moving part 250 of the wearable moving device 200 to move together, for example: when the motion component 250 in the wearable motion device 200 takes a motion bracelet as an example, the motion bracelet can play a ball or swim along with a person, so that the motion situation of the corresponding motion node can be inferred by collecting the motion data of the motion component 250.
S120: a type of motion of the wearable athletic device is determined.
Wherein the motion type is determined by a user through the human-computer interaction interface in any motion part; or the motion type is calculated by any motion component through the motion data; or the motion type is determined by the user through the background server.
For example, the man-machine interaction interface of any motion component can comprise a plurality of optional motion types, and the user can touch the motion type of the motion to be performed, so that the motion type of the user is determined.
For another example, any motion component collects motion data when a user moves, and the type of the motion performed by the user is judged according to the motion data.
As another example, the type of movement may be configured in a background server 100, wherein the background server comprises a user terminal. For example: the user selects a corresponding motion type through mobile phone app (Application).
In some embodiments, the type of motion includes: shuttlecocks, tennis balls, table tennis balls, swimming, gymnastics, basketball, volleyball, running, riding, rope skipping, and the like.
In particular, step S120 determines the type of movement of the wearable sports device 200 and then uploads the type of movement to the background server.
The motion nodes of the user refer to hands, feet, heads, backs, forehearts and the like of the user, and can be used as the motion nodes of the user when the user moves. For example, the user wears a motion component 250 at each motion node, determining that: when the table tennis ball is played, the hand and the foot are worn, and the motion parts 250 to be worn on the hand and the foot are all of the type of table tennis ball playing motion.
S130: according to the motion type and the motion data, the motion states of a plurality of motion parts are calculated respectively.
For example, the motion parts 250 are worn on the hands and the feet respectively, the motion type is badminton, tennis or table tennis, and the number of times and the force of the user are obtained according to the motion data uploaded by the motion parts worn on the hands; and obtaining running speed and running distance of the user according to the motion data uploaded by the motion parts worn on the feet.
The motion parts 250 are respectively worn on the hands and the footsteps, the motion type is swimming, and the number of times and the efficiency of the rowing of the user are obtained according to the motion data uploaded by the motion parts worn on the hands; according to the motion data uploaded by the motion parts worn on the feet, the foot pedaling times and the foot pedaling efficiency of the user are obtained.
The movement parts 250 are worn on the hands and feet, respectively, and the movement type is gymnastics. Obtaining a hand action track of a user according to motion data uploaded by a motion component worn on the hand; and obtaining the foot action track of the user according to the motion data uploaded by the motion component worn on the foot.
S140: and determining the movement condition of the user according to the movement states of the plurality of movement parts.
For example, the swimming stroke and the swimming distance are obtained according to the number and the efficiency of the strokes obtained by the hands and the number and the efficiency of the foot pedaling obtained by the feet. And obtaining the gymnastics action of the user according to the hand action track and the foot action track.
S150: the movement is displayed so that the user can monitor his movement.
As shown in fig. 2, the wearable exercise device 200 may upload exercise data and exercise type to the background server 100 or the user terminal 300, calculate the exercise situation of the user, and then send the exercise situation to the user terminal 300 if the exercise situation is calculated by the background server 100, and directly display the exercise situation if the exercise situation is calculated by the user terminal 300, so that the user may monitor the exercise situation of the user through the user terminal 300. For example: the swimming stroke and the swimming distance can be seen when the user swings the ball in a preset time, such as the movement distance, the movement speed, the swing force, the swing times, the swing gesture and the swimming.
In some embodiments, after step S140, the method further comprises: judging whether the current movement condition meets a preset movement standard or not; if not, prompting the user to adjust the movement condition. .
Specifically, after the motion situation is received, judging whether the current motion situation meets the preset motion standard, if not, prompting a user to adjust the motion situation, and if so, not prompting and continuing to monitor. For example, when the user performs gym exercises, the current motion track obtained by the wearable exercise device 200 is different from the predetermined motion track, that is, the user should extend his or her hand leftwards and his or her hand rightwards, and the wearable exercise device 200 prompts the user to adjust the hand motions. Wherein the prompt module comprises at least one of the following forms: vibration, audible prompts, displaying "error" or "X" in a human-machine interaction interface.
As shown in conjunction with fig. 3, the motion monitoring device 400 is configured to monitor a motion situation of a user through the wearable motion device 200, where the wearable motion device 200 includes: a plurality of movement parts 250 wearable at a movement node of a user, each movement part 250 being provided with a human-computer interaction interface; the motion monitoring device 400 includes: a receiving module 410, a determining motion type module 420, a calculating module 430, a determining motion situation module 440, a display module 450.
The receiving module 410 is configured to receive motion data detected by a plurality of motion components in the wearable motion device. The determine motion type module 420 is configured to determine a motion type of the wearable motion device. The calculating module 430 is connected to the receiving module 410 and the motion type determining module 420, respectively, and is configured to calculate motion states of the plurality of motion components according to the motion type and the motion data, respectively. The determine motion status module 440 is coupled to the computing module 430 for determining a motion status of the user based on the motion status of the plurality of motion components. The display module 450 is connected to the determine movement status module 440 for displaying movement status to enable the user to monitor his movement status.
In some embodiments, the type of motion is determined by the user through a human-machine interaction interface in any of the motion components 250; or the motion type is calculated by any motion component 250 through motion data; or the type of movement is determined by the user through the user terminal 300.
As shown in connection with fig. 4, a wearable athletic device 200 includes: the device comprises a processor 210, a memory 220, a communication module 230, and a plurality of moving parts 250 wearable on a moving node of a user, wherein each moving part 250 is provided with a human-computer interaction interface, the plurality of moving parts 250 are connected with the processor 210, the processor 210 is connected with the memory 220, the communication module 230 is connected with the processor 210, the memory 220 is used for storing one or more computer instructions, and the processor 210 is configured to execute the computer instructions in the memory 220 so that the user can monitor the movement state of the user by the method described in the embodiment.
The memory 220 may include a high-speed random access memory (RAM, random Access Memory), and may further include a non-volatile memory (non-volatile memory), such as at least one magnetic disk memory. The communication connection between the system network element and at least one other network element is implemented by at least one communication module 230 (which may be wired or wireless), and may use the internet, a wide area network, a local network, a metropolitan area network, etc.
The memory 220 is configured to store a program, and the processor 210 executes the program after receiving an execution instruction, where the method executed by the apparatus for flow defining disclosed in any of the foregoing embodiments of the present invention may be applied to the processor 210 or implemented by the processor 210.
The processor 210 may be an integrated circuit chip with signal processing capabilities. In implementation, the steps of the above method may be performed by integrated logic circuitry in hardware or instructions in software in processor 210. The processor 210 may be a general-purpose processor, including a central processing unit (Central Processing Unit, CPU for short), a network processor (Network Processor, NP for short), etc.; but may also be a digital signal processor (Digital Signal Processing, DSP for short), application specific integrated circuit (Application Specific Integrated Circuit, ASIC for short), off-the-shelf programmable gate array (Field-Programmable Gate Array, FPGA for short), or other programmable logic device, discrete gate or transistor logic device, discrete hardware components. The disclosed methods, steps, and logic blocks in the embodiments of the present invention may be implemented or performed. A general purpose processor may be a microprocessor or the processor may be any conventional processor or the like. The steps of the method disclosed in connection with the embodiments of the present invention may be embodied directly in the execution of a hardware decoding processor, or in the execution of a combination of hardware and software modules in a decoding processor. The software modules may be located in a random access memory, flash memory, read only memory, programmable read only memory, or electrically erasable programmable memory, registers, etc. as well known in the art. The storage medium is located in the memory 220, and the processor 210 reads the information in the memory 220 and, in combination with its hardware, performs the steps of the method described above.
As shown in connection with fig. 5, further includes: and a charging storage case 410. The charging storage box 410 includes a plurality of charging interfaces 411 and an energy storage module 412, wherein the plurality of charging interfaces 411 are respectively connected with the plurality of moving components 250 and the energy storage module 412, and the plurality of moving components 250 are charged with electric energy in the energy storage module 412 through the plurality of charging interfaces 411.
In some embodiments, the communication module 230 is mounted in the charging receptacle 410, and the processor 210 and the memory 220 are mounted in the moving part 250.
Further, the moving part 250 includes a communication module, that is, the moving part may communicate with the charging storage box 410 through bluetooth or wire communication, the background server 100 communicates with the charging storage box 410 through WIFI communication, and the user terminal 300 communicates with the charging storage box 410 through bluetooth or WIFI or 3G.
Specifically, the motion part 250 transmits the motion data or the motion type detected by itself to the charge storage and 410 through its own communication module, and the charge storage box 410 communicates with the user terminal 300 or the background server 100 again, and uploads the motion data or the motion type to the user terminal 300 or the background server 100 for calculating the motion situation of the user in real time.
In some embodiments, the charging cartridge 410 further comprises: the encryption module 413, the encryption module 413 is used for encrypting the motion data and the motion type to ensure the data security.
In some embodiments, the charging cartridge 410 further comprises: microphone sensor 417 to monitor the sleep condition of the user.
Specifically, the charging storage box 410 is placed in a bedroom to perform sleep detection, and the respiratory rate is obtained through the microphone. The sleeping time of the depth can be obtained according to the breathing frequency, and the sleeping breathing state is too fast and too slow.
As shown in connection with fig. 6, the charging storage case 410 further includes: microcontroller 415, power management module 416 provides charge management for motion component 250 as needed for energy storage module 412 to charge and discharge, microprocessor 415, communication module 230, etc. The moving part 250 and the charging storage box 410 are charged through a wired connection mode, and meanwhile, a wired communication mode such as serial ports, spi and iic is also provided. If the moving part 250 is not placed in the charging receptacle 410, communication is performed by bluetooth or wireless means such as wifi zegbee. The charging storage box 410 can receive the data of the moving part 250, and can also read the state of the module, such as the electric quantity information, and automatically judge whether the charging is needed. The charging pod 410 may also interact with a cell phone. Charging receiver 410 can connect the internet through wifi. The microphone may capture ambient sound. The buzzer provides sound output and reminds. The screen provides information display.
The movement component 250 in the wearable movement device 200 comprises an inertial sensor, different configurations such as heart rate, a Bluetooth communication chip, a microprocessor, a built-in small lithium battery, and can work independently, and the wearable movement component can be worn on the wrist, ankle, vamp, forearm and other positions through wearable accessories during use. A set of wearable sports apparatus 200 contains at least 2, or more than 2, sports components, which can be worn in multiple positions simultaneously. When not in use, the moving part can be placed in the storage cabin of the storage box to be charged (through wireless charging or wired charging), and the storage box can be taken out at any time for use. Each moving part can be worn at any position. The power management provides voltage and current required by a lithium battery, a microprocessor, a sensor and the like for charging and discharging. The Bluetooth communication chip 3 communicates with the mobile phone and the charging storage box. The inertial sensor is a 3-axis or 6-axis or 9-axis sensor and is used for capturing acceleration, angular velocity and geomagnetic angle of the motion module. The heart rate sensor is optional and measures the heart rate of the person. The moving part 250 may further include: the light sensor tests the intensity of the environment, including the intensity of ultraviolet light. The storage unit can temporarily store the motion data, and the motion data is uploaded to the mobile phone or the storage box after being connected to the storage box or the mobile phone and then transmitted to the server. The vibration motor in the prompt module realizes prompt and interaction. The module can acquire external data such as GPS, a camera and the like from the communication chip and perform data fusion with the module.
In some embodiments, the plurality of moving members 200 further comprises at least one of: a motion part worn on the foot, a motion part worn on the head, and a motion part worn on the back or the chest.
Specifically, the motion parts worn on the feet monitor the sitting position of the user, the motion parts worn on the head monitor whether the user is low, and the motion parts worn on the back or the chest monitor whether the user is humpback.
The background algorithm installed in the background server 100 or the user terminal 300 or the moving part 250 mainly includes a human motion calculating method including: after the human body movement is determined, acquiring the acceleration and the angular velocity of the human body movement; determining the static moment of human body movement according to the acceleration and the angular velocity; acquiring a time interval of every two static moments; judging whether the time interval between every two rest moments is larger than a preset time; if yes, calculating the maximum value of the acceleration; determining the time interval between two adjacent maxima according to the maxima; judging whether the time interval between two adjacent maximum values meets a preset range or not; if so, judging that the movement condition of the human body movement is leg trembling.
Specifically, the inertial sensors in the moving part 250 collect acceleration ax, ay, az, angular velocity gx, gy, gz in various directions of movement, and geomagnetic information at each moment of time by the magnetometer. And (5) carrying out data preprocessing on the output data, dividing the data into data self-checking and filtering. The data self-checking detection sensor data availability is threshold detection. The filtering may use median filtering, low pass filtering. Stationary or moving state determination is performed based on the resultant angular velocity g= v (gx 2 +gy 2 +gz 2 ) The combined angular velocity g is smaller than the threshold g t =0.2 °/s, and the combined acceleration a= v (ax 2 +ay 2 +az 2 ) At 9.0-11 m/s 2 The range is determined to be at the standstill time. Setting a threshold value a by adopting two times of stationary intermittent acceleration a t Checking whether the number of steps exceeds, judging to count the steps, increasing the number of the steps by 1, and counting the accumulated value N of the steps. And judging the time between two stillages as the time t of each step, and if t is lower than 1s,1/t is the step frequency. The sensor output frequency f is acquired. And acquiring attitude information by adopting quaternion integration through the three-axis angular rate information. If geomagnetic information exists or external correction information such as GPS, an optical gesture capturing module and a wireless gesture capturing module, kalman filtering is adopted to conduct data fusion correction. The combined acceleration a= v (ax 2 +ay 2 +az 2 ) And calculating an extremum, and obtaining a time difference delta t between the rest time and the extremum time, wherein the landing time is 2 x delta t. And judging whether the foot falling step is light or heavy according to the method, wherein the shorter the time is, the heavier the foot falling step is. The gesture of the first 50ms can judge that the falling gesture is according to the quaternion gestureAnd (3) converting the accelerometer coordinates into ground coordinates, and integrating to calculate the step length s. Calculating the speed s/t according to the step length, and accumulating the distance Sigma according to the step length N s n . If t exceeds 1s, calculating the extreme value of the total acceleration a in real time, and calculating the time interval t of the maximum value d If 1/t d Leg trembling was determined at about 5 to 7 hz.
The background algorithm installed in the background server 100 or the user terminal 300 or the moving part 250 further includes an algorithm for determining a motion trajectory, including: after the human body movement is determined, acquiring the acceleration and the angular velocity of the human body movement; obtaining the attitude angle of human body movement according to the angular velocity; projecting acceleration from the body coordinates into real coordinates according to the attitude angle; and determining the motion state of human body motion according to the acceleration and the motion time after projection. Further, according to the angular velocity, obtaining the attitude angle of the human body motion includes: and determining the motion state of human body motion as low head or humpback according to the attitude angle.
Specifically, the inertial sensor in the moving part acquires acceleration ax, ay, az, angular velocity gx, gy, gz in each direction of motion, and geomagnetic information at each moment of time. And (5) carrying out data preprocessing on the output data, dividing the data into data self-checking and filtering. The data self-checking detection sensor data availability is threshold detection. The filtering may use median filtering, low pass filtering. Stationary or moving state determination is performed based on the resultant angular velocity g= v (gx 2 +gy 2 +gz 2 ) The combined angular velocity g is smaller than the threshold g t =0.2 °/s, and the combined acceleration a= v (ax 2 +ay 2 +az 2 ) At 9.0-11 m/s 2 The range is determined to be at the standstill time. The sensor output frequency f is acquired. And acquiring attitude information by adopting quaternion integration through the three-axis angular rate information. If geomagnetic information exists or external correction information such as GPS, an optical gesture capturing module and a wireless gesture capturing module, kalman filtering is adopted to conduct data fusion correction. The direction cosine matrix can be obtained through the attitude angle, the acceleration is projected from the body coordinate to the real coordinate, the gravity acceleration is subtracted, the linear acceleration is obtained, and the linear acceleration is integrated twice to obtain final position information. Zero speed correction:when an object is detected to be stationary, the speed is set to zero. The accumulated error can be reduced. And a Kalman filter is used, and the observed value and the estimated value are combined to obtain more accurate position information. The algorithm described above can also be applied to somatosensory games. Or in other processors.
The relative steps, numerical expressions and numerical values of the components and steps set forth in these embodiments do not limit the scope of the present invention unless it is specifically stated otherwise.
Any particular values in all examples shown and described herein are to be construed as merely illustrative and not a limitation, and thus other examples of exemplary embodiments may have different values.
In addition, in the description of embodiments of the present invention, unless explicitly stated and limited otherwise, the terms "mounted," "connected," and "connected" are to be construed broadly, and may be, for example, fixedly connected, detachably connected, or integrally connected; can be mechanically or electrically connected; can be directly connected or indirectly connected through an intermediate medium, and can be communication between two elements. The specific meaning of the above terms in the present invention will be understood in specific cases by those of ordinary skill in the art.
In the description of the present invention, it should be noted that the directions or positional relationships indicated by the terms "center", "upper", "lower", "left", "right", "vertical", "horizontal", "inner", "outer", etc. are based on the directions or positional relationships shown in the drawings, are merely for convenience of describing the present invention and simplifying the description, and do not indicate or imply that the devices or elements referred to must have a specific orientation, be configured and operated in a specific orientation, and thus should not be construed as limiting the present invention. Furthermore, the terms "first," "second," and "third" are used for descriptive purposes only and are not to be construed as indicating or implying relative importance.
Finally, it should be noted that: the above examples are only specific embodiments of the present invention, and are not intended to limit the scope of the present invention, but it should be understood by those skilled in the art that the present invention is not limited thereto, and that the present invention is described in detail with reference to the foregoing examples: any person skilled in the art may modify or easily conceive of the technical solution described in the foregoing embodiments, or perform equivalent substitution of some of the technical features, while remaining within the technical scope of the present disclosure; such modifications, changes or substitutions do not depart from the spirit and scope of the technical solutions of the embodiments of the present invention, and are intended to be included in the scope of the present invention. Therefore, the protection scope of the present invention shall be subject to the protection scope of the claims.
Claims (9)
1. A method of motion monitoring for monitoring a user's motion by a wearable motion device, the wearable motion device comprising: a plurality of motion components wearable on a motion node of a user, each motion component being provided with a human-computer interaction interface; the method comprises the following steps:
receiving motion data detected by a plurality of motion components in a wearable motion device;
determining a motion type of the wearable motion device;
calculating the motion states of a plurality of motion parts according to the motion types and the motion data;
determining the movement condition of a user according to the movement states of the plurality of movement components;
displaying the movement condition so that a user can monitor the movement condition of the user;
after the step of determining the movement condition of the user according to the movement states of the plurality of moving parts, the method further comprises:
judging whether the current movement condition meets a preset movement standard or not;
if not, prompting the user to adjust the movement condition;
the method further comprises the steps of:
acquiring acceleration and angular velocity of human body movement;
obtaining the attitude angle of human body movement according to the angular velocity;
projecting acceleration from the body coordinates into real coordinates according to the attitude angle;
determining the motion state of human body motion according to the projected acceleration and the motion time;
according to the angular velocity, obtaining the attitude angle of the human body motion comprises the following steps: and determining the motion state of human body motion as low head or humpback according to the attitude angle.
2. The motion monitoring method of claim 1, wherein the type of motion is determined by a user through the human-machine interaction interface in any of the moving parts; or the motion type is calculated by any motion component through the motion data; or the type of motion is determined by the user via the user terminal.
3. A motion monitoring apparatus for monitoring a motion situation of a user by a wearable motion device, the wearable motion device comprising: a plurality of motion components wearable on a motion node of a user, each motion component being provided with a human-computer interaction interface; the device comprises:
the receiving module is used for receiving motion data detected by a plurality of motion components in the wearable motion equipment;
a motion type determining module for determining a motion type of the wearable motion device;
the calculation module is used for calculating the motion states of the plurality of motion components according to the motion type and the motion data;
the motion condition determining module is used for determining the motion condition of the user according to the motion states of the plurality of motion components;
the display module is used for displaying the movement condition so that a user can monitor the movement condition of the user;
the motion condition determining module is further configured to, after determining the motion condition of the user according to the motion states of the plurality of motion components:
judging whether the current movement condition meets a preset movement standard or not;
if not, prompting the user to adjust the movement condition;
the receiving module is also used for acquiring the acceleration and the angular velocity of the human body movement;
the motion condition determining module is further used for obtaining the attitude angle of human body motion according to the angular velocity;
and projecting the acceleration from the body coordinates into the real coordinates according to the attitude angle;
and determining a motion state of human body motion according to the projected acceleration and the motion time;
and obtaining a posture angle of human body movement according to the angular velocity, comprising: and determining the motion state of human body motion as low head or humpback according to the attitude angle.
4. A motion monitoring device according to claim 3, wherein the type of motion is determined by a user through the human-machine interaction interface in any of the moving parts; or the motion type is calculated by any motion component through the motion data; or the type of motion is determined by the user via the user terminal.
5. A wearable athletic device, comprising: a processor, a memory, a communication module, a plurality of motion components wearable on a motion node of a user, each motion component being provided with a human-computer interaction interface, the plurality of motion components being connected to the processor, the processor being connected to the memory, the communication module being connected to the processor, wherein the memory is for storing one or more computer instructions, the processor being configured to execute the computer instructions in the memory so that the user can monitor his or her motion state by the method of any of claims 1-2.
6. The wearable athletic device of claim 5, further comprising: the charging storage box is provided with a charging storage box,
the charging storage box comprises a plurality of charging interfaces and an energy storage module, wherein the charging interfaces are respectively connected with the wearable movement equipment and the energy storage module, and electric energy in the energy storage module is charged for the wearable movement equipment through the charging interfaces.
7. The wearable athletic device of claim 6, wherein the communication module is mounted in the charging pod and the processor and the memory are mounted in the moving component.
8. The wearable athletic device of claim 6, wherein the charging pod further comprises: microphone sensors to monitor the sleep condition of the user.
9. The wearable athletic device of claim 5, wherein the plurality of athletic components further comprises at least one of: a motion part worn on the foot, a motion part worn on the head, a motion part worn on the back or the chest, and a motion part worn on the hand.
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| US11191454B2 (en) | 2018-08-31 | 2021-12-07 | Feel The World, Inc. | Biofeedback for altering gait |
| CN109107136A (en) * | 2018-09-07 | 2019-01-01 | 广州仕伯特体育文化有限公司 | A kind of kinematic parameter monitoring method and device |
| CN111840948B (en) * | 2019-04-29 | 2022-06-10 | 北京卡路里信息技术有限公司 | Method and device for detecting number of times of badminton racket swinging and wearable equipment |
| CN110876613B (en) * | 2019-09-27 | 2022-07-22 | 深圳先进技术研究院 | Human motion state identification method and system and electronic equipment |
| CN110680293A (en) * | 2019-10-31 | 2020-01-14 | 深圳市维亿魄科技有限公司 | Motion monitoring method, motion monitoring device and terminal equipment |
| CN110916671A (en) * | 2019-11-15 | 2020-03-27 | 河海大学 | Intelligent running monitoring system |
| CN111536966A (en) * | 2020-04-07 | 2020-08-14 | 广州体育学院 | High-precision position detection sensor |
| CN111643877A (en) * | 2020-07-10 | 2020-09-11 | 安阳师范学院 | A device that is used for sports gymnastics leap to assist training |
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