CN114569955B

CN114569955B - Multi-target training device that takes a step

Info

Publication number: CN114569955B
Application number: CN202210057284.2A
Authority: CN
Inventors: 朱睿; 杨轶婷; 朱仕杰; 曹宇汀; 许檬磊; 曾慧子; 郑良栋
Original assignee: Tongji University
Current assignee: Tongji University
Priority date: 2022-01-19
Filing date: 2022-01-19
Publication date: 2023-03-14
Anticipated expiration: 2042-01-19
Also published as: CN114569955A

Abstract

A multi-target stepping training device comprises a multi-target stepping training walking pad, a pressure sensing module, a communication module, an LED control module, a voice module, a power supply module, a single chip microcomputer and upper computer software; the multi-target walking training pad comprises a hard pad, a film type pressure sensor array, an LED lamp belt layer and a transparent soft pad, and can provide walking training with various difficulties; the pressure sensing module and the communication module can judge the accuracy of taking a step according to the pressure data, feed back objective training results, collect and store training data, optimize the program setting of the training of taking a step and maximize the treatment effect. The invention provides objective evaluation criteria for evaluating the stepping accuracy for multi-target stepping training participants, improves physical performance and reduces falling risks.

Description

Multi-target training device that takes a step

Technical Field

The invention relates to the field of rehabilitation training, in particular to a multi-target stepping training device.

Background

China is facing a serious population aging problem, and by 2050 years, the number of elderly people over 65 years old in China reaches 4 hundred million, accounting for 30 percent of the total population in China. The incidence of fall events is relatively high among the elderly, with one third of the community population over the age of 65 experiencing falls every year, and this percentage rises to 50% in the community population over the age of 80. Falls have become a leading cause of fractures, fear of falls, and limited mobility in the elderly, creating a tremendous economic and social burden. The risk factors for an injurious fall event known at present include external factors such as lighting conditions, slippery surfaces, obstacles, etc. and internal factors such as gait, strength, balance, etc. In addition to maintaining adequate cardiovascular health and activity levels, improving balance and strength has been found to play a crucial role in preventing falls and fall risk factors. While balance training can effectively reduce the incidence of falls, most balance training consists of static and dynamic balancing tasks that alter sensory input (e.g., open or closed eyes, etc.) and support surfaces (e.g., foam, padding, hard objects, etc.), enhancing the ability to control the center of gravity within as small a support surface as possible. The effect of fall reduction or prevention is diminished due to the lack of task specificity. The elderly need to change support strategies to maintain balance at the critical moment of slipping or tripping, restore self-balance and prevent falls through adaptively increasing or decreasing support surfaces taken a step. This properly timed and directed stride may actively adapt to gait and actively avoid falls, or react to sudden external disturbances to maintain balance.

Therefore, stride training is a more specific form of balance training, aiming at performing correct, fast and correctly oriented strides, and is important for fall prevention. Compared with general training, the stepping training has stronger task specificity, and can directly shape neuropsychological and sensorimotor skills for avoiding falling. The stepping training can reduce the incidence rate of tumble induced in a laboratory and improve the performance of selecting reaction time, static state, dynamic state and functional balance. Step training is divided into reactive and volitional, meta-analysis shows that both training methods can reduce fall rate or fall risk by nearly 50%. Reactive or volitional stride training is defined as "training a single or multiple volitional or reactive strides in an upright (standing or walking) position to address environmental challenges (e.g., stepping on a target, avoiding an obstacle, or addressing a disturbance)". Volitional balance challenges include self-initiated, prospective balance challenges or exercises, while reactive balance challenges include unexpected perturbations that result in losing balance or reestablishing balance by reaction: such as a flick or an accidental obstruction. Rapid forward, backward and sideways strides are required during trips, slides and side-to-side falls. Repeated task-related exercises may produce stored motion programs that may be initiated when stored in anticipation of or in response to postural threats. The stride training is performed in an upright position, simulating a common fall environment, such as stepping on a target, avoiding an obstacle, or coping with a disturbance.

Multi-target swing training is an intervention means that combines swing training with visual control of foot movements. In traditional multi-target stepping training, doctors stick color patch paper on a floor mat, and colors are arranged in a crossed mode. In the walking process of a patient, the patient needs to step on the color block paper with the same color to avoid the interference color block paper with other colors. The difficulty is improved by increasing the number of interference color lump paper in each row, wherein the minimum difficulty is 2 pieces of color lump paper, 1 piece of color lump paper is the target color lump paper, and 1 piece of color lump paper is the interference color lump paper. During the stepping training, the patient needs to take forward, lateral and oblique multi-directional steps, so that the functional adaptability of the lower limbs is improved, and the performance in various functional tests is improved.

Chinese patent application CN110711357A discloses a guiding system for stepping training, which detects a stepping signal triggered by a patient on a stepping detection blanket through the stepping detection blanket, and sends the stepping signal to a controller, the controller receives the stepping signal sent by the stepping detection blanket, determines a current stepping training mode, obtains a display instruction matched with the current stepping training mode and the stepping signal from a prestored stepping training material library, and sends the display instruction to a display device, and the display device displays a corresponding stepping training image according to the display instruction sent by the controller, so as to guide the patient to perform stepping training. The patient is guided to carry out regular stepping training in an image mode, so that the technical problem that the patient self-training rehabilitation efficiency is low in the traditional technology is solved. However, this system is only suitable for patients in the in-situ gait training period, and is not suitable for the elderly with good functional status and low fall risk, and cannot simulate the real walking process, so the system has limitations.

In view of the foregoing, it is desirable to design a multi-objective stepping training device. The walking training is combined with the walking training, so that the old people with better functional state and lower falling risk can prevent falling, and the real walking process can be better simulated. Compared with the traditional multi-target stepping training, the preparation time for pasting the color block paper is saved, and the treatment efficiency is improved. The accuracy of the step is automatically judged, and a more objective training result is fed back. Voice prompt and result broadcast allow the better patient of function to train by oneself under unsupervised, reduce doctor's work burden, can supply the community or use at home. Training data is automatically collected and stored, the program setting of step training is optimized, and the treatment effect is maximized.

Disclosure of Invention

Aiming at the problems in the prior art, the application provides a multi-target stepping training device and method, the defects of the existing stepping training equipment are overcome, stepping training and walking training are combined, and the multi-target stepping training device is built and can be used for preventing the old with a good functional state and a low falling risk from falling.

The technical scheme of the invention is as follows:

a multi-target stepping training device comprises a multi-target stepping training walking cushion, a pressure sensing module, a communication module, an LED lamp strip control module, a voice module, a single chip microcomputer, a power supply module and upper computer software installed on a desktop computer;

the multi-target stepping training walking cushion is composed of 4 parts, and sequentially comprises the following components in sequence from bottom to top: the device comprises a hard pad, a pressure sensing module, an LED lamp strip layer and a transparent soft pad;

the length direction of the multi-target stepping training walking cushion is the advancing direction; in the advancing direction, according to the difference of the light indication position and the non-light indication position, 15 walking belts are divided on the multi-target stepping training walking cushion, and the length direction of the walking belts is vertical to the advancing direction; the position between the two walking belts is a blank belt;

the LED lamp strip layer consists of a plurality of rows of surface mounted LEDs; the patch LEDs are all arranged in the area of the walking belt; when the surface mounted LED emits light, a color block is displayed on the walking belt and used for indicating the trampling position; the LED lamp strip control module utilizes a PWM dimming technology to set the brightness and the color of the LED lamp strip layer under the control of the singlechip, so that the brightness, the color and the number of color blocks are changed along with the change of the training difficulty;

the pressure sensing module consists of a plurality of rows of film type pressure sensors; the film type pressure sensors are all arranged in the area of the walking belt; the pressure sensing modules form a thin film type pressure sensor array, the size of the thin film type pressure sensor array is 3 cm-3 cm, and the thin film type pressure sensor array is used for measuring pressure change formed by treading color blocks;

after a film type pressure sensor of the pressure sensing module senses a pressure signal, the pressure signal is amplified by AD623 and then converted into digital pressure data by A/D;

the communication module combines the USART with the Bluetooth module HC05 and is used for wireless communication between the single chip microcomputer and upper computer software; the single chip microcomputer transmits the pressure data to upper computer software through a communication module;

the voice module broadcasts voice under the control of the singlechip; the speech includes but is not limited to: "start of training", "end of training", "miss several blocks";

the upper computer software comprises a data analysis module and a user-friendly interface; the data analysis module includes the following functions:

(1) Processing pressure data from the thin film type pressure sensor array to obtain a target treading accuracy; the target accuracy rate refers to whether accuracy is achieved and a plurality of squares are missed;

(2) Making a training plan; the training plan refers to the training difficulty and the training times;

(3) Storing the training data; the training data includes: personal information of a trainer, a training plan, pressure data and a target tread rate;

the user-friendly interface is implemented by a GUI platform and comprises the following functions:

(1) Controlling the starting and the pause of the stepping training;

(2) Difficulty in handover training;

(3) Displaying a pressure data dynamic curve; the pressure data dynamic curve is dynamically created by using a function animatedline;

(4) Displaying the training result (the color blocks finally missed, whether to do the cross step);

the singlechip receives an instruction from upper computer software, controls the voice module to broadcast voice and adjusts the brightness, color and quantity of color blocks.

Further, the multi-target step training walking pad is 10m in length and 1m in width.

Further, the length of the walking belt is 1m, and the width of the walking belt is 10cm.

Further, the paving method of the patch LED in the walking belt area comprises the following steps: divided into 5 rows of 38.

Further, the laying method of the pressure sensing module in the walking belt area comprises the following steps: the number of the rows is 3, and each row is 30.

Further, the voice module is a WT2003S-20SS module; the central processing unit of the singlechip is 8-bit ATmegal128.

Further, the stepping rule is as follows:

(1) The walking belt and the blank belt are trodden in sequence along the traveling direction, namely: the step of treading on the walking belt, the step of treading on the blank belt, the step of treading on the walking belt again, and the steps are sequentially changed;

(2) There are 5 kinds of color blocks on the walking belt: red, blue, yellow, green, violet; the color block of middle red must be stepped on, and the color blocks of other colors cannot be stepped on.

Further, the training difficulty is as follows:

(1) Training difficulty one:

each walking belt comprises 2 color blocks, and the positions of the color blocks between the asynchronous row belts are the same;

the colors of the 2 color blocks are different, namely red and blue, the arrangement sequence of the color blocks is sequentially changed from left to right according to the following rules: arranging the color blocks on the rightmost side of the walking belt to the leftmost side, namely the color block arrangement sequence of the next walking belt;

the trainer must step on the middle red color block and cannot step on the middle blue color block;

(2) Training difficulty two:

each walking belt comprises 3 color blocks, and the positions of the color blocks between the asynchronous row belts are the same;

the colors of the 3 color blocks are different, namely red, blue and yellow, the arrangement sequence of the color blocks is sequentially changed from left to right according to the following rules: arranging the color blocks on the rightmost side of the walking belt to the leftmost side, namely the color block arrangement sequence of the next walking belt;

the trainer must step on the middle red color block and cannot step on the middle color blocks of other colors;

(3) Training difficulty three:

each walking belt comprises 4 color blocks, and the positions of the color blocks between the asynchronous row belts are the same;

the colors of the 4 color blocks are different, namely red, blue, yellow and green, the arrangement sequence of the color blocks is sequentially changed from left to right according to the following rules: arranging the color blocks on the rightmost side of the walking belt to the leftmost side, namely the color block arrangement sequence of the next walking belt;

(4) The training difficulty is four:

each walking belt comprises 5 color blocks, and the positions of the color blocks between the asynchronous row belts are the same;

the colors of the 5 color blocks are different and are respectively red, blue, yellow, green and purple, the arrangement sequence of the color blocks is sequentially changed from left to right according to the following rules: arranging the color blocks on the rightmost side of the walking belt to the leftmost side, namely the color block arrangement sequence of the next walking belt;

(5) And (5) training difficulty five:

the colors and the arrangement sequence of the color blocks are random;

the trainer tramples the target color block according to the priority of 'red > blue > yellow > green > purple', namely: if the red color block exists in the five bright color blocks on the walking belt, the color block is trampled and other color blocks are not trampled; if the color block does not have the red color block but has the green color block, the green color block is trampled, and other color blocks are not trampled, and the like.

Further, the workflow is as follows:

s1, inputting information of a trainer by upper computer software;

s2, the upper computer software acquires the historical training records and the training plan of the trainer from a database according to the personal information system, and selects out the training difficulty suitable for the trainer from 4 preset training difficulties;

s3, clicking a 'training start' button by the upper computer software;

s4, the single chip microcomputer receives an instruction from upper computer software through the communication module and controls the voice module to broadcast 'start training'; the LED control module sets the LED brightness and color arrangement according to the training difficulty, and displays color blocks on the multi-target stepping training walking pad;

s5, the trainer steps on the color blocks according to the stepping rule;

s6, under the control of the single chip microcomputer, the pressure sensing module sequentially scans 15 rows of pressure sensors every 2S in a keyboard mode to obtain pressure data;

s7, the single chip transmits the pressure data to upper computer software through a communication module;

s8, displaying the received pressure data in a real-time curve form by upper computer software;

s9, detecting whether the walking belt has traveled to the last walking belt or not by the single chip microcomputer, if so, controlling a voice module to broadcast 'training end', and otherwise, repeatedly executing the steps S6 to S8;

s10, calculating a target treading accuracy rate by upper computer software, judging whether cross steps are performed or not, calculating training time, displaying result parameters and broadcasting a training result in a voice mode; storing the training data in a database to prepare for next training.

Further, step S9 includes the steps of:

s9-1, setting a threshold value of the pressure sensor;

s9-2, reading pressure data of all pressure sensors of the walking belt on the 1 st row;

s9-3, finding out the pressure sensors with the pressure data exceeding a threshold value, and counting the number Ni of the pressure sensors;

s9-4, the upper computer software acquires the sole size of the trainer from the database;

s9-5, jumping to the step S9-6 if the size of the sole is more than or equal to 40, otherwise jumping to the step S9-7;

s9-6, if Ni is larger than or equal to 3 and all the pressure sensors with pressure data exceeding the threshold value are positioned in the target color block specified by the training difficulty, adding 1 to the tread accuracy number Sum, otherwise, jumping to the step S9-8;

s9-7, if Ni is larger than or equal to 2 and all pressure sensors with pressure data exceeding the threshold are positioned in a target color block specified by the training difficulty, adding 1 to the step number Sum, otherwise jumping to the step S9-8;

and S9-8, reading the pressure data of all the pressure sensors of the walking belt on the 2 nd row, and repeatedly executing the steps S9-2 to S9-7 until the pressure data of all the walking belts are processed.

The beneficial technical effects of the invention are as follows:

the objective evaluation standard for evaluating the stepping accuracy is provided for multi-target stepping training, the early preparation time is saved, and the feedback result is given to the participants in real time. For the participants of the multi-step training, twice-weekly training can improve physical performance and staring behavior, reduce fear of falling and reduce falling frequency, and finally help improve the ability of the participants to accurately step on a step target in a real complex environment and reduce falling risks.

Drawings

Fig. 1 is a hardware module schematic.

FIG. 2 is a software module diagram.

FIG. 3 is a schematic view showing the construction of a multi-objective stepping training walker. The corresponding relationship between the component names and the figure numbers is as follows: 1. LED lamp strip layers (including a top layer transparent cushion); 2. a thin film pressure sensor array; 3. a hard pad.

FIG. 4 is a comparison of the size of the color patch on the walking pad and the size of an adult foot.

Fig. 5 is a schematic diagram of the walking training difficulty 1 of the LED strip of the walking mat.

Fig. 6 is a schematic diagram of a walking mat LED strip setting walking training difficulty 2.

Fig. 7 is a work flow diagram.

FIG. 8 is a flowchart of determining whether to step on a target patch.

Detailed Description

The present invention will be described in detail with reference to the accompanying drawings and examples. It is to be understood that the described embodiments are merely exemplary of the invention, and not restrictive of the full scope of the invention. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.

As shown in fig. 1, the hardware of the embodiment includes a multi-target stepping training walking mat, a pressure sensing module, a communication module, an LED light band control module, a voice module, a single chip, a power supply module, and upper computer software installed on a desktop computer.

As shown in fig. 2, the software of the embodiment includes a program installed on the single chip microcomputer and upper computer software installed on the desktop computer. The main functions of the single chip microcomputer program are as follows: controlling an LED; voice broadcasting; pressure collection and filtering; and data is transmitted and received with the upper computer software. The main functions of the upper computer software are as follows: calculating whether to step on a plurality of blocks or not; displaying pressure value data in real time; serial communication; training start/pause; and switching the difficulty mode.

As shown in FIG. 3, the multi-goal swing training walker is 10m in length and 1m in width; the device consists of 4 components which are sequentially as follows from bottom to top: hard pad, pressure sensing module, LED lamp band layer, transparent cushion.

The length direction of the multi-target stepping training walking pad is the advancing direction. In the traveling direction, according to the difference between the light indication position and the non-light indication position, 15 walking belts with the length of 1m and the width of 10cm are evenly distributed, and the length direction of the walking belts is perpendicular to the traveling direction. The position between the two walking belts is a blank belt.

The LED lamp strip layer is composed of a plurality of rows of surface mounted LEDs. The patch LEDs are not evenly distributed but are evenly distributed in 5 rows of 38 in each walking belt area, with other areas not. When the patch LED emits light, a color block is displayed on the walking belt for indicating the stepping position, as shown in FIG. 4.

The LED lamp strip control module utilizes the PWM dimming technology to set the brightness and the color of the LED lamp strip layer under the control of the single chip microcomputer, so that the brightness, the color and the number of color blocks are changed along with the change of the training difficulty. Different color block combinations represent different training difficulties, and 5 training difficulties are provided in total. Fig. 5 shows combinations of color patches with low difficulty in training, and fig. 6 shows combinations of color patches with high difficulty in training.

The pressure sensing module consists of a plurality of film type pressure sensors; and the pressure sensing modules form a thin film type pressure sensor array with the size of 3cm to 3cm and are used for measuring pressure change formed when the color block is stepped. The array of film pressure sensors is not evenly distributed, but 3 rows of 30 in each walking belt area, and no other area.

After the film type pressure sensor of the pressure sensing module senses a pressure signal, the pressure signal is amplified by the AD623 and then converted into digital pressure data by the A/D.

The communication module combines USART and bluetooth module HC05 for singlechip and host computer software's wireless communication. The single chip microcomputer transmits the pressure data to the upper computer software through the communication module.

The voice module is a WT2003S-20SS module, and broadcasts voices such as 'training start', 'training end', 'several blocks missing', and the like under the control of the single chip microcomputer.

The upper computer software comprises a data analysis module and a user-friendly interface. The data analysis module includes the following functions:

(3) Storing the training data; the training data includes: training plan, pressure data, target tread rate.

The user-friendly interface is implemented through a GUI platform, comprising the following functions:

(1) Controlling the starting and the pause of the stepping training;

(2) Switching training difficulty;

(3) Displaying pressure data in real time; a pressure data dynamic curve is dynamically created by using a function animatedline;

(4) The final missing patch is shown.

The central processing unit of the singlechip is 8 ATmegal128, receives an instruction from upper computer software, controls the voice module to broadcast voice, and controls the LED lamp strip control module to adjust the brightness and the color of the LED, so that the brightness and the color of the color block on the multi-target stepping training walking pad are changed along with the change of the training difficulty.

The stepping rules of the example are as follows:

(1) The walking belt and the blank belt are trodden in sequence along the traveling direction, namely: stepping on the walking belt in one step, stepping on the blank belt in the next step, and stepping on the walking belt in the next step, wherein the steps are sequentially replaced;

The example includes 5 training difficulties:

(1) Training difficulty one:

as shown in fig. 5, each walking belt contains 2 color patches, and the positions of the color patches between the asynchronous row belts are the same;

the trainer must step on the middle red color block and cannot step on the middle blue color block.

(2) Training difficulty two:

as shown in fig. 6, each walking belt contains 3 color patches, and the positions of the color patches between the asynchronous row belts are the same;

the trainer must step on the red color block and cannot step on the other color blocks.

(3) Training difficulty three:

the trainer must step on the middle red color block and cannot step on the color blocks of other colors.

(4) The training difficulty is four:

(5) The training difficulty is five:

the colors and the arrangement sequence of the color blocks are random;

the trainer tramples the target color block according to the priority of 'red > blue > yellow > green > purple', namely: if the red color block exists in the five bright color blocks on the walking belt, the color block is trodden and other color blocks are not trodden; if the color block does not have the red color block but has the green color block, the green color block is trampled, and other color blocks are not trampled, and the like. The difficulty increases the cognitive ability and the reaction ability in the walking training, and further exercises the walking ability.

As shown in fig. 7, the workflow of the embodiment is as follows:

s1, inputting information of a trainer by upper computer software;

s2, the upper computer software acquires the historical training record and the training plan of the trainer from the database according to the personal information system, and selects the training difficulty suitable for the trainer;

s3, clicking a 'training start' button by the upper computer software;

s5, the trainer steps on the color blocks according to the stepping rule;

s6, under the control of the single chip microcomputer, the pressure sensing module sequentially scans 15 rows of pressure sensors in a keyboard mode every 2S to obtain pressure data;

s9, the single chip microcomputer detects whether the walking belt has moved to the last walking belt, if so, the voice module is controlled to broadcast 'training end', and if not, the steps S6 to S8 are repeatedly executed; as shown in fig. 8, the steps of detecting whether the last walking belt has been traveled are as follows:

s9-1, setting a threshold value of the pressure sensor;

s9-6, if Ni is more than or equal to 3 and all the pressure sensors are positioned in the target color block specified by the training difficulty, adding 1 to the tread standard number Sum, otherwise, jumping to the step S9-8;

s9-7, if Ni is more than or equal to 2 and all the pressure sensors are positioned in a target color block designated by the training difficulty, adding 1 to the tread standard number Sum, otherwise, jumping to the step S9-8;

S10, calculating a target treading accuracy rate by upper computer software, judging whether cross steps are performed or not, calculating training time, displaying result parameters and broadcasting a training result in a voice mode; and storing the training data in a database to prepare for next training.

While the embodiments of the invention have been described in detail, it is not intended to limit the invention to the exact construction and operation illustrated and described, and it will be appreciated by those skilled in the art that various changes, modifications, substitutions and alterations can be made herein without departing from the spirit and scope of the invention.

Claims

1. A multi-target stepping training device is characterized in that:

the walking training device comprises a multi-target walking training walking cushion, a pressure sensing module, a communication module, an LED lamp strip control module, a voice module, a single chip microcomputer, a power supply module and upper computer software installed on a desktop computer;

the LED lamp strip layer consists of a plurality of rows of surface mounted LEDs; the patch LEDs are all arranged in the area of the walking belt; when the surface mounted LED emits light, a color block is displayed on the walking belt and used for indicating the trampling position; the LED lamp strip control module sets the brightness and the color of the LED lamp strip layer by utilizing a PWM dimming technology under the control of the singlechip, so that the brightness, the color and the number of color blocks are changed along with the change of the training difficulty;

the user-friendly interface is implemented through a GUI platform, and comprises the following functions:

(1) Controlling the starting and the pause of the stepping training;

(2) Difficulty in handover training;

the singlechip receives an instruction from upper computer software, controls the voice module to broadcast voice, and adjusts the brightness, color and number of color blocks;

the stepping rule is as follows:

(1) The walking belt and the blank belt are trodden in sequence along the direction of travel, namely: the step of treading on the walking belt, the step of treading on the blank belt, the step of treading on the walking belt again, and the steps are sequentially changed;

(2) There are 5 kinds of color blocks on the walking belt: red, blue, yellow, green, violet; a red color block must be treaded, and color blocks of other colors cannot be treaded;

the training difficulty is as follows:

(1) Training difficulty one:

(2) Training difficulty two:

(3) Training difficulty three:

(4) The training difficulty is four:

the trainer must step on the middle red color block and cannot step on the color blocks of other colors;

(5) And (5) training difficulty five:

the colors and the arrangement sequence of the color blocks are random;

the trainer tramples the target color block according to the priority of 'red > blue > yellow > green > purple', namely: if the red color block exists in the five bright color blocks on the walking belt, the color block is trampled and other color blocks are not trampled; if no red color block exists but a green color block exists, stepping on the green color block and not stepping on other color blocks, and so on;

the working process is as follows:

s1, inputting information of a trainer by upper computer software;

s3, clicking a 'training start' button by upper computer software;

s4, the single chip microcomputer receives an instruction from upper computer software through the communication module, and the voice module is controlled to broadcast 'training start'; the LED control module sets the LED brightness and color arrangement according to the training difficulty, and displays color blocks on the multi-target stepping training walking pad;

s5, the trainer steps on the color blocks according to the stepping rule;

s9, the single chip microcomputer detects whether the walking belt has moved to the last walking belt, if so, the voice module is controlled to broadcast 'training end', and if not, the steps S6 to S8 are repeatedly executed;

2. The multi-goal swing training apparatus of claim 1 wherein:

the length of the multi-target stepping training walking pad is 10m, and the width of the multi-target stepping training walking pad is 1m.

3. The multi-objective stepping training apparatus as claimed in claim 1, wherein:

the length of the walking belt is 1m, and the width of the walking belt is 10cm.

4. The multi-goal swing training apparatus of claim 1 wherein:

the paving method of the patch LED in the walking belt area comprises the following steps: divided into 5 rows of 38.

5. The multi-goal swing training apparatus of claim 1 wherein:

the laying method of the pressure sensing module in the walking belt area comprises the following steps: the number of the rows is 3, and each row is 30.

6. The multi-objective stepping training apparatus as claimed in claim 1, wherein:

the voice module is a WT2003S-20SS module; the central processing unit of the singlechip is 8-bit ATmegal128.

7. The multi-objective stepping training apparatus as claimed in claim 1, wherein the step S9 comprises the steps of:

s9-1, setting a threshold value of the pressure sensor;

s9-3, finding out pressure sensors with pressure data exceeding a threshold value, and counting the number Ni of the pressure sensors;

s9-6, if Ni is larger than or equal to 3 and all pressure sensors with pressure data exceeding the threshold are positioned in a target color block specified by the training difficulty, adding 1 to the step number Sum, otherwise jumping to the step S9-8;

s9-7, if Ni is larger than or equal to 2 and all the pressure sensors with pressure data exceeding the threshold value are positioned in a target color block specified by the training difficulty, adding 1 to the tread accuracy number Sum, otherwise jumping to the step S9-8;