TWI565501B - Personal exercise prompting method, system, and an exercise platform thereof - Google Patents

Description

Portable movement reminding method, system and a sports platform

The invention relates to a body movement reminding method, a system and a motion platform, in particular to a body movement prompting method and method which can be generated according to a user's personal physiological information, and a motion platform using the method and system.

Generally speaking, in addition to the athletes setting their own goals, they may also hire someone to give them appropriate advice during exercise to make the exercise more compliant with the physiological situation and achieve the goal.

With the maturity of portable devices, wearable devices, and appropriate software programs (such as APP), users can also use related devices while exercising. For example, the movements and physiological conditions of sports can be recorded by portable devices and related software programs. . However, such sports situations still lack guidance.

In order to provide an appropriate reminder for the exerciser to perform a certain exercise plan, the present invention proposes a portable exercise reminding method that utilizes the portable device, and can propose according to the physiological signal of the obtained exerciser and the exercise intensity during execution. Appropriate exercise guidance can help athletes to achieve a sports plan.

The invention contained in the disclosure proposes a method for reminding the body movement, which mainly includes, when the athlete is exercising, can predict the life according to a humanized motion module. The trend of the signal, followed by the trend of the physiological signal and the trend of the signal of a sports program, according to which a prompt signal is generated.

In the portable movement suggesting method, the physiological signal of the exercise, such as the heart rhythm signal, can be sensed by the device carried by the exerciser, and the heartbeat can be sensed by using the body and mind sensor on the wearable device; The physiological signal of the athlete establishes or updates an existing humanized motion model of the athlete.

Therefore, according to this personalized movement model, the system can obtain the physiological signal trend of each person at a specific time, such as the trend of the physiological signal, the flatness and the downward direction, that is, the trend of a physiological signal can be predicted in real time; The athlete first selects a motion plan, and the system generates a prompt signal by comparing the trend of the physiological signal with the trend of the signal of a motion plan, for example, a voice message for guiding.

The disclosure also describes a portable motion reminding system that provides a cloud system for storing physiological signals transmitted by a terminal device and providing a personalized motion model and one or more motion plans. The terminal device is, for example, a wearable device, or a combination of a wearable device and a mobile device.

In an embodiment of the body movement reminder system, the system includes a network unit for receiving a physiological signal sensed by the terminal device during movement of the exerciser; the system has a humanized motion model module for analysing the movement of the exerciser The signal establishes or updates a humanized motion model associated with the athlete; the system includes a motion planning module that provides motion plan selection and suggestions; and the system includes a signal analysis module that can analyze signal trends for use in the personalized motion described above. The model instantly predicts a physiological signal trend and compares the trend of the physiological signal with the trend of the selected motion plan; and the system includes a prompt signal module that can be used to compare the trend of the physiological signal trend with the trend of the motion signal. Generate a prompt signal.

The disclosure also proposes a sports platform, the platform has a computer system, and the portable movement prompting method executed by the computer system includes the physiological signal for sensing the movement of the athlete as described above, and establishing or updating the individual according to the physiological signal of the athlete. Motion model, predicting a physiological signal trend based on a personalized motion model, and comparing One of the main purposes of physiological signal trends and signal trends in a sports program is to generate a cue signal.

The motion platform includes a wearable device, and includes a sensor for sensing a physiological signal of the exerciser during the exercise; the motion platform further includes a mobile device, and the wearable device is connected by a wireless communication protocol. To provide a personalized sports model and a sports program.

In order to further understand the technology, method and effect of the present invention in order to achieve the intended purpose, reference should be made to the detailed description and drawings of the present invention. The drawings and the annexed drawings are intended to be illustrative and not to limit the invention.

1‧‧ ‧ athletes

10‧‧‧Wearing device

12‧‧‧Network

14‧‧‧Cloud System

20‧‧‧ Terminal devices

22‧‧‧Network

24‧‧‧Cloud System

30‧‧‧Wearing device

31‧‧‧Mobile devices

32‧‧‧Network

34‧‧‧Cloud System

40‧‧‧ Terminal devices

401‧‧‧Communication unit

402‧‧‧Data Processing Unit

403‧‧‧ memory unit

404‧‧‧Voice signal unit

405‧‧‧Sensor unit

42‧‧‧Cloud System

421‧‧‧Network Unit

422‧‧‧Database

423‧‧‧Signal Analysis Module

424‧‧‧personalized motion model module

425‧‧‧Sports Module

426‧‧‧ prompt signal module

50‧‧‧Wearing device

501‧‧‧Communication unit

502‧‧‧Data Processing Unit

503‧‧‧Voice signal unit

504‧‧‧Sensor unit

52‧‧‧Mobile devices

521‧‧‧First communication unit

522‧‧‧Second communication unit

523‧‧‧Control unit

524‧‧‧ memory unit

54‧‧‧Cloud System

61‧‧‧ Physiological signal trends

62‧‧‧Sports signal trend

63‧‧‧ prompt signal comparison table

631‧‧‧Physiological signal trend

632‧‧‧Sports Signal Trends

633‧‧‧ prompt signal

65‧‧‧ Terminal devices

Step S701~S705‧‧‧ Portable movement reminding method flow

Step S801~S805‧‧‧ Portable movement reminding method flow

Step S901~S911‧‧‧ Portable movement reminding method flow

1 is a schematic view showing a system embodiment of a wearer wearing a wearable device; FIG. 2 is a schematic view showing an embodiment of the body motion prompting system of the present invention; FIG. 3 is a schematic view showing a second embodiment of the body motion prompting system of the present invention; 4 is a functional block diagram showing an embodiment of the body motion prompting system of the present invention; FIG. 5 is a functional block diagram showing an embodiment of the body motion prompting system of the present invention; FIG. 6 is a view showing an embodiment of the method for generating a prompt signal according to the present invention; The illustrated process describes one embodiment of the portable motion prompting method of the present invention; the flow shown in FIG. 8 describes the second embodiment of the portable motion prompting method of the present invention; and the flow shown in FIG. 9 describes an embodiment of the portable motion prompting method of the present invention. three.

The invention provides a method, system and a movement platform for the body movement, wherein the technical solution mainly provides each individual athlete with a personalized movement model, which is produced according to physiological signals generated by the continuous movement of the athlete, and can reflect the movement of the athlete. Trends in physiological signals during exercise, which record each person’s behavior in each type of exercise The physiological signal of time, and can move from the physiological signal to the trend of the upward, flat and downward physiological signals. The system also provides a motion plan, which can be based on the choices and settings of the athletes, or the system proposes a motion plan for the athletes, which records the trend of the signals combined with the motion plans of the various sports types, so that the portable body proposed by the present invention The motion alert system can compare the physiological signal trend of the athlete and the signal trend in the motion plan, and then provide a guiding prompt according to the comparison result, and the athlete can perform the exercise according to the prompt signal, thereby achieving the purpose of the personal portable coach.

It is worth mentioning that when selecting an exercise program, an athlete will consider the type of exercise, intensity, frequency of movement and time of exercise, and the amount of heat consumed. The effect of the exercise can be expressed in a variety of ways that can be sensed. For example, breathing, heartbeat, body temperature, etc., the center jump can be sensed by a heart rate sensor. The personalized exercise model is constructed based on the physiological signals of the cumulative exerciser for a period of time, so it can reflect the physiological state and load level of the athlete, so the limit of the exercise amount, the intensity, the action frequency and the exercise time can be compared. The system that provides the exercise program will be able to give advice based on this.

A schematic view is shown in FIG. 1 , in which a system in which an exerciser 1 wears the wearable device 10 is displayed, the wearable device 10 is a device worn by the athlete 1 , and the wearable device 10 can refer to a small computer system that can be carried around. For example, smart phones, sports bracelets, smart glasses, etc., such wearable devices 10 may have a networking function to connect a cloud system 14 via a network 12, such as a mobile communication network.

The wearable device 10 is provided with a sensor (not shown) for sensing physiological signals, such as a body and mind sensor. When the athlete 1 is performing a motion, the wearable device 10 generates a signal transmitted to the cloud system 14 according to the physiological signal sensed by the sensor.

In the system proposed by the present invention, the cloud system 14 receives the signal transmitted by the terminal via the network 12, and after accumulating for a period of time, through the machine learning mechanism, the signal of the model can be sufficiently established to establish a humanized motion model. . The mechanism of machine learning is mainly based on collecting enough data for a period of time. The rule is obtained, which can be used to predict the future. The body movement reminding system of the present invention obtains a physiological motion pattern according to the physiological signal of the athlete in the past period of time, thereby establishing a personalized motion model. The signal trend recorded in the personalized exercise model indicates the physiological changes of the athlete during exercise, and the physiological signal at each time point is judged by the front and rear signals, and has a physiological signal trend, which can be used to predict the trend of the physiological signal.

The system also provides a motion program that can be used to provide multiple motion plans for the user to select, or to customize the exercise program by the athlete or by the target. The signal characteristic presented by each exercise plan is the signal trend at each time point in the entire exercise plan, that is, to achieve the goal of the exercise plan, the system and method of the present invention can be driven according to the immediate situation of the athlete. The athlete can move with the signal of the exercise plan to achieve the goal.

2 and FIG. 3 respectively show a motion platform for performing the portable motion prompting method of the present invention, the motion platform having a computer system carried in a specific device, which can be operated in an independently operated wearable device; or carried on a mobile device, in action The device can also obtain physiological signals through the near-end connected wearable device; or it can include a cloud system, and the cloud system provides remote backup, remote operation and transmission of signals. On various types of sports platforms, the computer system senses the physiological signals of the athletes during exercise, and after the signal processing, establishes or updates the individualized motion model of the athletes, and the computer system can predict a physiological signal according to the motion model. After the trend, guidance is provided based on the results of the signal trends that compare the exercise plans.

There may be one or more interconnected devices or hosts in the motion platform. In an embodiment, the mobile platform may include a terminal device having a sensor for sensing a physiological signal of the athlete during exercise (or when the device is activated), and the terminal device has a recorded personalized motion model and The memory of the exercise program. The terminal device of this example may be an independently operated wearable device, or may be processed with a mobile device.

In another embodiment, the motion platform can include a wearable device and a mobile device In combination, the mobile device and the wearable device are connected by a wireless communication protocol, the mobile device provides a personalized motion model and a motion plan; the platform may also include a cloud system that provides a personalized motion model and a motion plan, a personalized motion model, and The motion program is stored in this cloud system and is used to provide mobile device downloads.

2 is a schematic diagram showing an embodiment of the body motion alerting system of the present invention.

In this example, the terminal device 20 is a wearable device worn by an athlete, such as a sports bracelet, a smart watch, smart glasses, or a smart phone, etc., in which a circuit module that can be connected to the network 22 is provided. The group can be connected to the cloud system 24 via the network 22. By this connection, the physiological signals obtained by the terminal device 20 can be stored in the memory of the terminal device 20, and can be transmitted to the cloud system 24, and stored, analyzed and operated by the cloud system 24, thereby constructing for each athlete. Personalized motion model. The cloud system 24 can also provide guidance voices that prompt the athletes to perform the motion, and transmit them to the terminal device 20 via the network 22.

The embodiment is further illustrated in FIG. 3 as a schematic diagram of the body movement reminding system of the present invention.

The wearable device 30 is displayed in the terminal portion, such as a sports wristband. However, the wearable device 30 of this example needs to be connected to the network 32 through the mobile device 31. The two can be a near-end communication technology (such as BluetoothTM, NFC ⁾ . etc.), or a wireless local area network (e.g., WiFi ^TM), or even a wired connection is connected, and by the mobile device 31 Drive system 34 exchange file. The wearable device 30 is provided with a sensor for sensing the physiological signals of the athletes wearing the wearable device 30, and the signals are first transmitted to the mobile device 31, and the mobile device 31 processes the signals, including converting the signals to the transmitted signals. .

In a particular embodiment, the mobile device 31 can independently process the signals received by the wearable device 30, such as receiving, storing, and processing signals using an action software program (APP) installed therein, and establishing an individual based on the continuously acquired physiological signals. The motion model is modeled and compared to the trend of the signal of the exercise program to provide a prompt signal.

In another embodiment, after the mobile device 31 obtains the physiological signal from the wearable device 30, it can transmit to the cloud system 34, and the cloud system 34 manages the signals, including establishing or updating the personalized motion model based on the continuously acquired signals. Cloud The system 34 compares the trend of the physiological signal in the personalized motion model with the trend of the signal of the exercise program, and provides a prompt signal, such as a voice message for guidance. The voice message can be transmitted to the mobile device 31 via the network 32, and the voice message can be broadcast by the mobile device 31; however, the message can still be transmitted to the wearable device 30, and the voice is played by the wearable device 30.

4 and 5 respectively show that the terminal device to which the present invention is applied may be an independently operated wearable device, or may be an implementation of a combination of a wearable device and a mobile device.

One of the architectures of the terminal device and the cloud system can be referred to the schematic diagram shown in FIG. 4. In the embodiment of the portable motion prompting system, one end is the terminal device 40 and the other end is the cloud system 42. The communication network is wired, and the schematic diagram shows that the main functional modules in order to achieve the technology of the present invention can be implemented by software or hardware circuits.

In the terminal device 40, an externally connected communication unit 401, a data processing unit 402 for performing data processing, and a memory unit 403 for storing signals and related instruction programs are provided. The memory unit 403 can be temporarily stored in the cloud system 42 for temporary storage. The personalization model and the motion plan related content, the terminal device 40 includes a voice signal unit 404 for processing the voice signal and broadcasted, and a sensing unit 405 for sensing the physiological signal of the athlete, such as a body and mind sensor. The terminal device 40 can thereby sense the heart rate signal of the athlete.

The voice signal unit 404 can convert the prompt signal provided by the system according to the motion condition into a voice message, can be broadcasted through the speaker on the terminal device 40, or can be outputted by a headset worn on the athlete. For example, the output voice message outputs a voice signal that has been recorded and has a continuous amount of motion when the predicted physiological signal trend is consistent with the trend of the motion plan signal; when the predicted physiological signal trend is upward, the motion plan signal The downward trend indicates that the athlete has exceeded the intensity of the exercise plan, which can lead to a voice signal that reduces the amount of exercise; when the predicted physiological signal trend is downward, the trend of the motion plan is upward, indicating that the athlete is strong. Not enough, so you can broadcast a voice signal that encourages the exercise to increase the amount of exercise.

The cloud system 42 is configured to store the physiological signals generated by the terminal device 40 and provide a personalized motion model and one or more motion plans carried to the terminal device 40. The user can select one of the motion plans through a specific selection interface. Or the system's recommended motion plan based on the needs of the athlete.

In the cloud system 42, a network unit 421 is provided, which is mainly capable of receiving the physiological signal when the terminal device 40 senses the movement of the athlete.

The personalized motion model module 424 in the cloud system 42 is configured to establish or update a humanized motion model of the athlete according to the physiological signal of the athlete, wherein the physiological signal is converted into a reference signal trend, and The values that can be compared.

The motion plan module 425 in the cloud system 42 is for processing a software module that provides an operator selection or suggestion of a motion plan, by which the exercise program can provide an option to the operator's terminal device. The motion plan module 425 then converts the signal trends that can be referenced for the corresponding motion plan based on the selection signals transmitted by the terminal device, and the values that can be compared.

The signal analysis module 423 is a numerical processing module in the cloud system 42 and can be implemented by a circuit or a software. When the system obtains the signal transmitted from the terminal device 40, in addition to the signal processing, the personalization motion model is updated. It is better to predict a physiological signal trend based on the personalized motion model, comparing the trend of the physiological signal with the trend of the signal of a sports program. Thereafter, the alert signal module 426 of the cloud system 42 will generate a prompt signal based on the result of comparing the trend of the physiological signal with the trend of the motion plan. The cloud system 42 further provides and converts the prompt signal into a voice signal by the signal analysis module 423.

In addition to the above-mentioned functional modules, the cloud system 42 may be provided with a database 422. The format of the database 422 is not limited, and the data of each athlete is recorded, the physiological signals of each athlete's identification data, and various motion plans are recorded. For the relationship between the trend of various physiological signals and the trend of signals of various sports plans, refer to Figure 6.

When the athlete starts to exercise, the worn terminal device 40 can connect to the cloud system 42 at any time or at a time or when necessary, thereby transmitting signals instantaneously, and instantly obtaining the prompt signal, updating the personalized motion model and the like; however, The terminal device 40 also does not preclude that all necessary information has been carried before the exercise, and then is offline after the start of the exercise.

Another embodiment, as shown in FIG. 5, is different from the embodiment in which the terminal device 40 shown in FIG. 4 is directly coupled to the cloud system 42. The terminal device of the body motion prompting system shown in this example includes a wearable device worn on an athlete. The device 50 and the other mobile device 52, the blocks shown in the figures, are the main functional modules for describing the implementation of the present invention.

The wearable device 50 is, for example, a sports wristband or a portable device worn on a specific part of the athlete. The athlete can additionally carry a mobile device 52, such as a mobile phone, during the exercise, so that the wearable device 50 can be used by the mobile device. 52 connects to the network, or only transmits data, or can be triggered by the mobile device 52 to obtain a prompt signal. In another embodiment, before the exercise is started, the wearable device 50 first loads the necessary information by the mobile device 52, such as a personalized motion model of the athlete, a motion plan, a reminder signal file, etc., so that when exercising, the athlete can The mobile device 52 is not required to be carried, but the wearable device 50 operates independently.

In this example, the wearable device 50 includes a communication unit 501 that is connected to the proximal end of the mobile device 52, and has a data processing unit 502 that performs signal processing, and processes signals received via the communication unit 501, such as personalized information, motion meters. Drawing, etc., and generating signals transmitted by the communication unit 501, such as physiological signals generated immediately. The wearable device 50 includes a sensing unit 504 that can sense the physiological signal of the athlete. The sensing unit 504 converts the sensed information into a physiological signal that can be carried by the data processing unit 502. The sensing unit 504 is a sensor disposed in the wearable device 50, for example, a body and mind sensor for sensing an athlete's heart rate signal. The present invention is not limited to only applying the heart rate signal sensed by the heart rate sensor, but is also applicable to other physiological signals based on changes in exercise, such as: breathing, blood pressure, body temperature, and the like.

The wearable device 50 can be provided with a voice signal unit 503, and a voice signal unit 503. One of the main functions is to convert the prompt signal generated by the device 50 into a voice message for broadcast. The manner of broadcasting includes outputting a voice signal by the speaker device on the wearable device 50; or connecting a wireless or wired earphone to output the voice; or the speaker of the mobile device 52 of this example or an external earphone output, and The main function of the wearable device 50 is to sense physiological signals.

The mobile device 52 can be implemented by a smart device, such as a smart phone, a tablet computer, etc., and the main signal processing of the system can be processed in the mobile device 52, including connecting with the cloud system 54 and personalizing the motion model, the motion plan, and the like. Processing and other work. The mobile device 52 mainly implements the circuit or function module of the present invention, for example, the control unit 523 that controls each functional module, and may further be provided with a memory unit 524. In one embodiment, the memory unit 524 is a type of memory of the mobile device 52. The voice message may be a voice signal stored in the memory unit 524. The voice signal is a signal trend according to various physiological signal trends and various motion plans. The signal recorded by the change relationship.

The mobile device 52 can include a first communication unit 521 that is connected to the near end of the wearable device 50, and a second communication unit 522 that connects to the cloud system, respectively, which can be achieved by appropriate wireless communication techniques. Near-end communication protocols such as Bluetooth, near field communication technology, etc. are connected to the wearable device 50, but it is not excluded to connect and transmit signals by wire. And preferably between the cloud system 54 may be a wireless LAN (WiFi ^TM) or mobile communication connection agreements.

When the device of the terminal is connected to the cloud system 54, the signals transmitted by the terminal include the physiological signals sensed by the terminal device, and can be transmitted to the cloud system 54 together with the user data registered by the related terminal device, so that the cloud system 54 Personalized materials can be formed, which can be used to construct personalized sports models and sports plans. According to an embodiment, the body movement reminding system is a system implemented in the cloud, and has a database, which can record the data of each athlete, and can also analyze the signals of multiple athletes, and distinguish the movements of multiple groups according to characteristics. The heart rhythm model enables an initial personalized motor rhythm model based on the athlete's initial physiological signal trend before the athlete's initial establishment of the personalized motor rhythm model. number.

6 is a schematic diagram of an embodiment of a method for generating a prompt signal according to the present invention, wherein the personalized motion model can be represented by some signal waveforms, but this is not a form of signal storage, but through these waveforms, the wavelength band at each time point is predictable. Signal trend. In the same way, the motion plan can also signal the trend of the signal, and the signal trend is displayed at each time point.

After the cloud system receives the physiological signal transmitted from the terminal device for a period of time, a personalized exercise rhythm model can be established according to which at least the upward, flat and downward physiological signal trend of the physiological signal at each time is recorded.

The figure shows the physiological signal trend 61 and the motion planning signal trend 62. The physiological signal trend 61 can be used to indicate the physiological signal trend when the exerciser performs the exercise, and can update the model as the new signal is generated. As the exercise begins, the system introduces a motion plan signal trend 62 in a particular exercise program and compares it to the physiological signal trend 61. When the physiological signal trend 61 and the motion planning signal trend 62 are compared, the comparison result may provide a corresponding prompt message according to the prompt signal comparison table 63.

In this example, the alert signal comparison table 63 describes the physiological signal trend 631, the motion plan signal trend 632, and the corresponding alert signal 633. In the illustrated example, only a few basic trend changes are simply represented, and in practice, more complex and diverse prompt signals may be generated.

For example, if the predicted physiological signal trend 631 state is "up" or "down", and the compared motion plan signal trend 632 is also "up" or "down", the trend of both can be obtained. The comparison result, therefore, the corresponding prompt signal 633 can be a "continuous exercise amount" prompt. In actual implementation, the speech, graphic, light or vibration can be used to indicate the continuous exercise intensity, the action frequency and the exercise time.

Take voice as a reminder signal as an example. If the predicted physiological signal trend 631 state is "up", and the compared motion plan signal trend 632 is "downward", indicating that the trend of the exerciser is greater than the motion plan requirement, the corresponding prompt signal 633 may be "Reducing the amount of exercise", when it is actually implemented, it can be voiced to indicate that the exercise is strong. Voice message (or adjust the action frequency and exercise time). Similarly, when the predicted physiological signal trend 631 state is "downward", the compared motion plan signal trend 632 is "upward", indicating that the exercise amount of the exerciser is less than the motion plan requirement, and the corresponding prompt signal at this time. 633 can be "increasing the amount of exercise". In actual implementation, the voice sends a voice message indicating encouragement to increase the exercise intensity (or adjust the action frequency and exercise time).

The information can then be carried to the terminal device 65. The terminal device 65 can provide an appropriate prompt signal according to the actual operation status, and the prompt signal is not excluded from other manners, such as terminal wear, except for the above-mentioned manner of voice broadcast. The device or the mobile device can display the graphic, the light signal, the vibration, and the like to indicate how the next amount of exercise of the athlete should be. For example, if the hearing impaired friend adopts the present invention, the motion prompt can be selected to display the graphic, emit the light signal or vibrate.

According to the method for forming a personalized motion model in the present invention, reference may be made to the flow embodiment shown in FIG. 7 to start sensing the physiological signal of the exerciser by using the sensor as shown in step S701, which may actually be carried on the wearable device. The sensing circuit, such as the heart rhythm sensor, can obtain the physiological signals of the athletes, and the signals can be transmitted to the cloud system, as shown in step S703, or can be processed at the terminal, thereby establishing a personalized motion model. Or update or correct the existing personalized motion model with the continuously obtained signal, as in step S705.

It is worth mentioning that although the present invention mainly performs signal trend prediction and comparison according to the personalized motion model established by the athlete for a period of continuous exercise, and performs follow-up prompts, the system does not obtain sufficient physiology at the beginning of the system operation. In the early stages of the signal, the initial personalized motion model provided by the system can be applied so that it can continue to move with the movement. The initial personalized motion model is a motion model that temporarily provides an athlete reference. According to an embodiment, the system can analyze multiple motion models by recording data of multiple athletes, and can follow some physiological signals initially provided by a specific athlete. It is classified so that before the athlete has initially established a personalized exercise rhythm model, the motion prompt can be provided according to the initial model, and the system is required to obtain sufficient After constructing a truly personalized motion model with enough physiological signals, it will replace the original model. According to the prompt signal.

Referring to the main technical features of the present invention, the flow of the embodiment shown in FIG. 8 includes the following steps: Step S801, after the system obtains the personalized motion model of the athlete, the model can be obtained. In the signal trend at each time point, the physiological signal trend can be predicted, and in step S803, after comparing the predicted physiological signal trend with the selected motion plan signal trend, a prompt signal can be generated according to the comparison result. In step S805, an appropriate motion prompt is given.

The flow of forming the prompt signal can be referred to the embodiment shown in FIG.

In the portable motion prompting method proposed by the present invention, firstly, the physiological signal of the exerciser is sensed, and the system can establish or update a humanized motion model of the athlete according to the physiological signal of the athlete, so that the system is personalized by step S901. The physiological signal trend is obtained in the motion model, and the trend of the signal at the next time can be predicted and compared with the trend of the motion planning signal. The comparison result will affect the generated prompt signal, and then, according to step S903, the system judges according to the comparison result. Is the signal trend consistent?

If the comparison result indicates that the predicted physiological signal trend is consistent with the trend of the motion plan signal (Yes), the system generates a voice message of a continuous motion amount as in step S905; if not, (NO), following step S907, the determination continues. Is the physiological signal trending upwards and the motion planning signal trending downward?

If the comparison result is that the physiological signal trend is upward and the motion planning signal trend is downward (Yes), it indicates that the exerciser should be able to reduce the amount of exercise, and the system generates a voice message that reduces the amount of exercise as shown in step S909. In this case, the trend of the motion plan signal can be down to the bad situation caused by the continuous strength of the exercise when designing the exercise plan, such as excessive lactic acid accumulation, muscle fatigue, injury and the like.

If the comparison result is different (No), there may still be other judgment steps, but in this embodiment, the physiological signal trend is downward, but the motion planning signal is trending upward. The situation indicates that the athlete can increase the exercise intensity to meet the requirements of the exercise plan, that is, in step S911, the system generates a voice message that increases the amount of exercise.

After the broadcast voice message is executed according to each comparison result, the step returns to step S901 to continuously compare the signal trends. The order of the above steps is only one of the modes, and the steps between the steps can be simply replaced without substantial differences in the need to achieve the technical object of the present invention.

In summary, the main purpose of the method, system and motion platform for the body movement proposed by the present invention is to provide the user with the ability to perform exercise according to the trend of the physiological signal and the motion plan during the exercise. Therefore, the present invention provides a sports situation in which an athlete can provide instant voice guidance according to the physiological condition of the athlete and the moving target, and the preferred embodiment of the present invention does not limit the patent scope of the present invention, so the present invention is applied. The equivalent structural changes in the specification and the drawings are included in the scope of the present invention and are combined with Chen Ming.

S801‧‧‧Predicting physiological signal trends based on personalized motion models

S803‧‧‧Compared signal trends in sports planning

S805‧‧‧ Generate prompt signal

Claims (12)

A method for prompting a physical exercise includes: predicting a physiological signal trend according to a humanized motion model, wherein the personalized motion model of the athlete is established according to a physiological signal of an athlete; and comparing the trend of the physiological signal with a movement The signal trend of the plan generates a prompt signal; wherein the physiological signal trend recorded by the personalized motion model indicates the physiological change of the athlete during exercise, wherein the physiological signal at each time point is used to determine the physiological signal through the front and rear signals. Trends used to predict trends in this physiological signal. The portable motion prompting method according to claim 1, wherein the method for establishing the personalized motion model senses a physiological signal of the athlete during exercise by a sensor. The portable motion prompting method according to claim 2, wherein the personalized motion model records at least the upward, flat or downward physiological signal trend of the physiological signal at each time. The portable motion prompting method according to claim 1, wherein the prompt signal is a display graphic, a light signal, a vibration, or a voice. The method according to claim 1, wherein the prompting signal generated by the comparison comprises: when the predicted physiological signal trend is consistent with the trend of the motion plan signal, generating a continuous motion amount of the voice message; The physiological signal trend is upward, the signal of the motion plan tends downward, and a voice message that reduces the amount of motion is generated; and when the predicted physiological signal trend is downward, the motion signal of the motion plan tends upward, and an increase in the amount of motion is generated. Voice message. A portable motion reminding system provides a cloud system for storing a physiological signal generated by a terminal device and providing a humanized motion model and one or more motion plans. The system includes: a network unit, Receiving a physiological signal that the terminal device senses when an athlete moves; a humanized motion model module is configured to establish or update a humanized motion model of the athlete according to the physiological signal of the athlete, wherein the personalization The motion model records the physiological signal trend of the athlete, the physiological signal trend indicates the physiological change of the athlete during exercise; a motion planning module that provides a motion plan selection and suggestion; and a signal analysis module for The physiological signal recorded at each time point in the personalized exercise model determines the trend of the physiological signal through the front and rear signals, and is used to instantly predict the physiological signal trend of the exerciser, and compare the trend of the physiological signal with the trend of a motion plan; And a prompt signal module, based on the result of the comparison of the physiological signal trend and the trend of the motion plan signal To produce a prompt signal. The portable motion reminding system according to claim 6, wherein the cloud system provides a database, which records the data of the athletes, the physiological signals of the athletes, various motion plans, and various physiological signal trends and various motion plans. The relationship between signal trends. The portable motion reminding system according to claim 7, wherein the personalized motion rhythm model is established after the cloud system receives the physiological signal transmitted from the terminal device for a period of time, wherein at least the physiological signal of each time is upward, Flat and downward physiological signal trends. A motion platform, the method for performing a body motion prompting comprises: sensing a physiological signal of an athlete during exercise; establishing or updating a humanized motion model of the athlete according to the physiological signal of the athlete, wherein the personalized motion model records Physiology The signal trend indicates the physiological change of the athlete during exercise; the physiological signal at each time point recorded in the personalized exercise model is used to determine the physiological signal trend through the front and rear signals to instantly predict the physiological signal trend of the exerciser; A signal is generated for the trend of the physiological signal and the trend of the signal of a motion plan. The motion platform of claim 9, wherein the motion platform comprises a terminal device, comprising a sensor for sensing a physiological signal of the athlete during exercise; the terminal device having a recorded personalized motion model And the memory of the exercise program. The motion platform of claim 9, wherein the motion platform further comprises a mobile device, and a wearable device is connected by a wireless communication protocol to provide the personalized motion model and the motion plan; the personalization The motion model and the motion plan are stored in a cloud system and used to provide the mobile device download. The motion platform of claim 11, wherein the cloud system provides and converts the prompt signal to a voice message.