Intelligent monitoring method and system for sports activities

Abstract

The invention belongs to the field of sports monitoring equipment, and particularly relates to an intelligent monitoring method and system for sports activities. An intelligent monitoring method for physical activities comprises the following steps that S10, heart rate information and movement acceleration of a student are collected, the movement speed of the student is obtained according to the movement acceleration, and the collection time of the movement acceleration when the movement speed is obtained serves as movement time; associating the exercise time with the corresponding exercise speed and heart rate information and storing the exercise time and the corresponding exercise speed and heart rate information as an exercise log; s20, according to the relation between the heart rate and the movement speed, the movement logs are divided into stable movement and explosive movement, and according to the distinguished movement logs, the relation between the heart rate information and the movement time and the relation between the heart rate information and the movement speed are obtained; and S30, acquiring the current movement speed of the student as a first speed according to the movement acceleration of the student. According to the scheme, the problem that an existing exercise monitoring mode is difficult to meet individual requirements of different students in physical activities is solved.

Description

Technical Field

[0001] This solution belongs to the field of motion monitoring devices, and specifically relates to an intelligent monitoring method and system for sports activities. Background Art

[0002] Currently, in school physical education teaching, teachers mainly rely on monitoring the physical condition and movement process of students. However, the physical fitness of students varies, and their movement situations are also different. Teachers cannot understand all the physiological indicators and movement performances of students during exercise in real time and comprehensively. Some students are prone to physical exhaustion, and serious situations such as fainting, coma, or even sudden death may occur after forced exercise.

[0003] For this reason, Chinese Patent CN104146446A discloses a bracelet structure with a heart rate detection function, as well as a running exam system and method. This bracelet is provided with a wireless communication module on the circuit board, which not only has the function of heart rate detection but also can receive and send data. When the heart rate of the user (student) exceeds the maximum set value, the bracelet will send a reminder message (such as vibration alarm or sound alarm) to prevent students from fainting or sudden death due to excessive exercise.

[0004] However, the application of this kind of bracelet in the campus sports scenario still has limitations. For some students with better physical fitness or those who exercise regularly, teachers hope that they can approach their physical limits during exercise to achieve better exercise effects. However, the existing bracelets will send reminders when the students' heart rates are close to the limit, which may limit the opportunities for students to break through their own exercise limits. This kind of bracelet cannot comprehensively consider the individual differences and exercise goals of students and is difficult to meet the personalized needs of different students in sports activities. Summary of the Invention

[0005] The purpose of this solution is to provide an intelligent monitoring method and system for sports activities to solve the problem that the existing motion monitoring methods are difficult to meet the personalized needs of different students in sports activities.

[0006] To achieve the above purpose, this solution provides an intelligent monitoring method for sports activities, including the following steps:

[0007] S10: Collect the heart rate information and moving acceleration of students, obtain the moving speed of students according to the moving acceleration, take the acquisition time of the moving acceleration when the moving speed is obtained as the movement time, and associate and store the movement time with the corresponding movement speed and heart rate information as a movement log;

[0008] S20: Divide the movement log into stable movement and explosive movement according to the relationship between heart rate and movement speed, and obtain the relationship between heart rate information, movement time, and movement speed according to the divided movement log;

[0009] S30: Obtain the current movement speed of the student as the first speed based on the student's movement acceleration, obtain the movement time as the first time based on the first speed, determine the heart rate information as the first recommended heart rate by combining the movement log with the first time and the first speed, obtain the personal information of the student to determine the second recommended heart rate, and determine the third recommended heart rate based on the first recommended heart rate and the second recommended heart rate;

[0010] S40: Obtain the current heart rate information of the student as the first heart rate. When the first heart rate is not less than the third recommended heart rate, generate the first information based on the first speed and the first time, and integrate the student information, the first information, and the heart rate information into a prompt message and send it to the teacher terminal.

[0011] The principle and technical effect of this solution are as follows: First, according to the relationship between heart rate and movement speed, this solution classifies the movement log into steady movement and burst movement. Then, combined with the student's personal information (such as age, gender, physical fitness, etc.), personalized heart rate recommended values are generated. Through personalized heart rate recommendation and movement state classification, customized exercise suggestions are provided according to the physical fitness and exercise goals of different students. This not only avoids the limitations of a single heart rate index but also meets the personalized needs of different students in physical activities. Moreover, through movement log analysis, this solution can provide scientific exercise suggestions for students to help them better adjust the exercise intensity. For students with better physical fitness, this solution can recommend an exercise intensity close to the physical limit to help them break through the exercise limit.

[0012] Second, this solution sends the abnormal movement data (movement speed, heart rate, and movement duration) of the student to the teacher, helping the teacher understand the student's exercise performance and health status, enabling the teacher to discover abnormalities in a timely manner, and more conveniently and accurately adjust the teaching plan for the student, thereby optimizing the physical education curriculum content. At the same time, this method can also filter out the safe student information (student information with a heart rate in the normal range or a movement speed in the normal range) for the teacher, enabling the teacher to focus more on the abnormal movement data of the student, saving time and effort, improving work efficiency, more effectively ensuring the safety of the student, and reducing the risk of student injury.

[0013] Furthermore, students can understand their historical movement data through the movement log, increasing the fun and sense of participation in exercise. This can not only enable students to fully understand their progress in exercise but also help students understand their exercise limits, avoid excessive exercise caused by ignorance, and reduce the risk of injury from the perspective of the students themselves. In addition, this way of allowing students to understand their progress can also increase the students' confidence in exercise, achieving the goal of encouraging students to exercise healthily and scientifically.

[0014] This solution also provides an intelligent monitoring system for physical activities that uses the intelligent monitoring method for physical activities.

[0015] In summary, this solution solves the problem that the existing motion monitoring methods are difficult to meet the personalized needs of different students in physical activities.

[0016] Furthermore, the collected mobile acceleration is filtered to remove noise signals, and the periodic characteristics of the change in motion speed are extracted from the mobile acceleration to obtain the motion speed change period A. The motion speed change period A and heart rate information HR of students in different motion states are collected. The correlation between the two is determined through data analysis, and a correlation model between the motion speed V and the heart rate information HR is established. The calculation formula of the model is shown as formula (1) below:

[0017] V = f(A, HR) (1),

[0018] where V represents the motion speed.

[0019] Furthermore, the change amplitude of the heart rate information is calculated as the heart rate change based on the heart rate information HR collected in the most recent two times; when the heart rate change exceeds the preset heart rate change threshold, the current mobile acceleration is obtained, and the monitoring frequency of the mobile acceleration and the heart rate information is increased; within the preset temporary monitoring time, it is judged whether the mobile acceleration is greater than the preset acceleration threshold: if the mobile acceleration is greater than the preset acceleration threshold, the motion speed V is calculated according to the mobile acceleration, and the heart rate information HR, the motion speed V, and the acquisition time of the heart rate information HR are associated and stored as the time of explosive motion; if the mobile acceleration is not greater than the preset acceleration threshold, the change situation of the motion speed V is judged: if the decreased value of the motion speed V exceeds the preset sudden stop speed change threshold, or the motion speed V is less than the preset walking speed threshold, the time closest to the current time and less than the walking speed is obtained from the motion log as the motion start time, and the motion speed V and the heart rate information HR obtained from the motion start time to the current time are used to generate a danger prompt and sent to the teacher; if the decreased value of the motion speed does not exceed the preset sudden stop speed change threshold, and the motion speed is not lower than the preset walking speed threshold, the current heart rate information, the corresponding motion speed, and the acquisition time of the heart rate information are associated and stored as the time of steady motion.

[0020] By filtering to remove noise, can the accuracy of mobile acceleration data be improved? Combining mobile acceleration with heart rate information can more comprehensively evaluate the exercise status of students. By establishing a correlation model between mobile acceleration and heart rate information, personalized exercise analysis can be provided for each student. This solution also determines whether the exercise speed of students is in an abnormal state through the correlation between mobile acceleration and heart rate information. Under normal circumstances, when the heart rate of students increases, the exercise speed of students should increase or decrease slowly (it will decrease slowly when the physical strength of students approaches the limit). When the exercise speed drops suddenly or the exercise speed is lower than the preset walking speed threshold, a danger prompt is generated, which can timely remind the teacher to discover the abnormal situation of students and avoid overtraining of students. Moreover, the teacher can infer the reason for the abnormality of students through the exercise speed, exercise start time, and heart rate information in the prompt message, and provide accurate emergency assistance for students.

[0021] Further, based on the exercise speed V, exercise time T, and heart rate information HR of students, calculate the exercise amount E of students. The calculation formula of the exercise amount is shown in the following formula (2):

[0022] E = α·V·T + β·HR (2),

[0023] where α and β are weight coefficients preset according to individual differences and exercise types of students;

[0024] Regularly obtain exercise logs, classify the exercise types of students according to the exercise speed V, combine the changes in the exercise speed V and heart rate information HR with the exercise time to obtain the exercise start time and exercise end time, and then obtain the exercise duration according to the exercise start time and exercise end time. Take the exercise duration corresponding to the exercise log as a single exercise, obtain the exercise amount E of the single exercise, and compare the changes in the exercise amounts E of multiple single exercises as changes in exercise habits, and send the changes in exercise habits to the teacher terminal and the student terminal; count the changes in the heart rate information HR at different exercise times T within a single exercise, and combine the first heart rate and the changes in the heart rate information HR to generate an exercise stop message; compare the heart rate information HR of multiple single exercises with the same exercise duration in the same exercise type as the second heart rate, and compare the change of the second heart rate with the exercise time; generate progress information based on the comparison results and send it to the teacher terminal and the student terminal.

[0025] Calculate the exercise volume E of students through formula (2), where and are weight coefficients preset according to individual differences and exercise types of students, making the calculation results more personalized and accurate. Classifying the exercise types of students according to the exercise speed helps to identify and analyze the impacts of different types of exercises on students. Under this impact, compare the heart rate information HR of multiple single exercises in the same exercise type under the same exercise duration, evaluate the exercise effect, and adjust the weight coefficients and accordingly, which can make the judgment criteria of this solution change with the physical fitness of students, so as to continuously provide accurate monitoring for students.

[0026] Furthermore, calculate the average heart rate information and the heart rate information change range in a single exercise according to the exercise duration, and group the heart rate information of each exercise type according to the preset exercise time interval; calculate the average heart rate information and the heart rate information change range within each time interval; obtain the heart rate stability according to the average heart rate information and the heart rate information change range, and generate the exercise adaptability information and fatigue degree information of students according to the heart rate stability and send them to the teacher terminal.

[0027] Obtaining the heart rate stability according to the average heart rate information and the heart rate information change range helps to more accurately evaluate the exercise adaptability and fatigue degree of students. And by grouping and analyzing the heart rate data of different exercise types, the impacts of different exercises on the heart rate of students can be understood more deeply, providing data support for sports science research. By understanding their own heart rate stability and exercise adaptability information, students can better manage their exercise intensity and rest time, improving their self-management ability; teachers can better understand the exercise status of each student, realizing personalized teaching.

[0028] Furthermore, when determining the third recommended heart rate, first obtain the first speed of the student, obtain the current exercise type according to the first speed, and then obtain the maximum heart rate information from the exercise log as the first recommended heart rate according to the current exercise type; then obtain the personal information of the student, and obtain the second recommended heart rate according to the physical fitness information in the personal information. When the first recommended heart rate is greater than the second recommended heart rate, modify the physical fitness information in the personal information according to the first recommended heart rate, and use the first recommended heart rate as the third recommended heart rate; when the first recommended heart rate is not greater than the second recommended heart rate, and the difference between the first recommended heart rate and the second recommended heart rate is less than the preset safety interval, use the second recommended heart rate as the third recommended heart rate; when the first recommended heart rate is not greater than the second recommended heart rate, and the difference between the first recommended heart rate and the second recommended heart rate is not less than the preset safety interval, modify the physical fitness information in the personal information according to the safety interval, use the value obtained by subtracting the preset safety interval from the second recommended heart rate as the third recommended heart rate, and generate regression information of the first recommended heart rate, the second recommended heart rate and the third recommended heart rate and send it to the teacher terminal and the student terminal.

[0029] By combining the students' exercise performance (the first recommended heart rate) and personal information (the second recommended heart rate), personalized heart rate recommendations (the third recommended heart rate) are provided for each student to ensure that the heart rate range not only conforms to the students' exercise ability but also takes into account their health status. When there is a difference between the first recommended heart rate and the second recommended heart rate, this solution can dynamically adjust the third recommended heart rate according to a preset safety interval to ensure that students exercise within a safe heart rate range; by comparing the first recommended heart rate and the second recommended heart rate and adjusting the third recommended heart rate according to the difference, it is possible to prevent students from exercising at too high or too low a heart rate, thereby reducing the exercise risk. Teachers can provide more precise exercise guidance for students based on the third recommended heart rate to help students exercise within an appropriate heart rate range and improve the exercise effect; students can better understand their physical condition and promote the formation of healthy exercise habits.

[0030] Furthermore, when obtaining the exercise time as the first time according to the first speed, the location information of the student is obtained, and the acquisition frequency of the location information is adjusted according to the first speed or the first heart rate. The obtained location information and the personal information of the student are integrated into student location information and sent to the teacher terminal; when the teacher terminal receives a prompt message, the student location information is obtained as the first location information through the personal information of the student, and the first location information is highlighted.

[0031] When the teacher terminal receives a prompt message, it can quickly obtain the location information through the personal information of the student, timely monitor the students who may be at risk, ensure the exercise safety of the students, and improve the management efficiency of the teacher. Adjusting the acquisition frequency of the location information according to the first speed or the first heart rate can increase the monitoring of students with more intense exercise or abnormal heart rates, facilitate the teacher to promptly discover the abnormalities of the students, and provide assistance to the students in a timely manner; moreover, based on the location information of the students, the teacher can obtain the exercise trajectory of the students. By combining the exercise trajectory of the students with the exercise log of the students, the teacher can more accurately understand the exercise situation of the students and more conveniently provide assistance to the students or formulate teaching plans.

[0032] Further, obtain the periodic change of the movement speed according to the movement speed V, and mark the movement speed as unstable or stable according to the periodic change of the movement speed V; when the movement speed V is less than the third recommended speed and the difference from the third recommended speed is greater than the preset breakthrough speed, if the movement speed is marked as unstable, generate information for adjusting the movement mode and play it out; if the movement speed is marked as stable, generate encouragement information and play it out; when the movement speed V is less than the third recommended speed and the difference from the third recommended speed is not greater than the preset breakthrough speed, if the movement speed is marked as unstable, generate information for slowing down the movement and play it out, and increase the acquisition frequency of the heart rate information; if the movement speed is marked as stable, generate encouragement information and play it out; when the movement speed V is not less than the third recommended speed, if the movement speed V is marked as unstable, initialize the monitoring times, generate information for pausing the movement and play it out, and obtain the first heart rate within the preset temporary monitoring time. If the first heart rate shows an overall upward trend within the temporary monitoring time, generate prompt information and send it to the teacher terminal; if the first heart rate does not show an overall upward trend within the temporary monitoring time, increase the monitoring times, and obtain the first heart rate within the temporary monitoring time again. If the first heart rate returns to the preset safe heart rate range within the preset maximum monitoring times, send an appeasement prompt to the student. If the first heart rate is not within the preset safe heart rate range, generate prompt information and send it to the teacher terminal; when the movement speed V is not less than the third recommended speed, if the movement speed is marked as stable, increase the acquisition frequencies of the heart rate information, the movement acceleration, and the position information.

[0033] This solution compares the third recommended speed with the movement, and then combines the comparison result with the stability of the movement speed to judge the movement state of the student, and provides real-time feedback such as adjusting the movement mode, slowing down the movement, and pausing the movement to help the student adjust the exercise intensity and avoid excessive exercise or insufficient exercise. When the movement speed is less than the third recommended speed and the movement state is stable, encouragement information is provided to motivate the student to maintain or moderately increase the exercise intensity to achieve a better exercise effect; when the movement speed is close to or exceeds the third recommended speed and the movement state is unstable, the student is reminded to pause the movement in time and the teacher is notified when necessary to prevent sports injuries. At the same time, according to the difference between the movement speed and the third recommended speed and the movement stability, the acquisition frequency of the heart rate information is dynamically adjusted to provide more accurate heart rate monitoring and help evaluate the exercise load of the student. When the student's movement speed exceeds the third recommended speed and the movement state is unstable, this solution will obtain the student's heart rate information within the temporary monitoring time and send prompt information to the teacher terminal according to the heart rate change trend, enabling the teacher to intervene in time. Brief Description of the Drawings

[0034] Figure 1 It is a flowchart of an intelligent monitoring method for physical activities in an embodiment of the present invention.

[0035] Figure 2 This is a related flowchart for sending a prompt message to the teacher terminal according to the first heart rate when the movement speed V is not less than the third recommended speed in the embodiments of the present invention. Detailed implementation manners

[0036] The following will clearly and completely describe the concept of the present invention and the technical effects generated in combination with the embodiments, so as to fully understand the purpose, features and effects of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all embodiments. Based on the embodiments of the present invention, other embodiments obtained by those skilled in the art without creative efforts shall fall within the scope of protection of the present invention:

[0037] Embodiment 1

[0038] As Figure 1 shown, an intelligent monitoring method for sports activities includes the following steps:

[0039] S10: Collect the heart rate information and moving acceleration of the student, obtain the movement speed of the student according to the moving acceleration, use the collection time of the moving acceleration when the movement speed is obtained as the movement time, and associate and store the movement time with the corresponding movement speed and heart rate information as a movement log;

[0040] S20: Divide the movement log into steady movement and explosive movement according to the relationship between the heart rate and the movement speed, and obtain the relationship between the heart rate information, the movement time and the movement speed according to the divided movement log;

[0041] S30: Obtain the current movement speed of the student as the first speed according to the moving acceleration of the student, obtain the movement time as the first time according to the first speed, determine the heart rate information as the first recommended heart rate by combining the movement log with the first time and the first speed, obtain the personal information of the student to determine the second recommended heart rate, and determine the third recommended heart rate according to the first recommended heart rate and the second recommended heart rate;

[0042] S40: Obtain the current heart rate information of the student as the first heart rate. When the first heart rate is not less than the third recommended heart rate, generate the first information according to the first speed and the first time, and integrate the student information, the first information and the heart rate information into a prompt message and send it to the teacher terminal (usually the teacher's mobile phone, or other terminals such as a tablet or a computer).

[0043] Among them, the collected mobile acceleration is filtered to remove noise signals, and the periodic characteristics of the change in motion speed are extracted from the mobile acceleration to obtain the motion speed change period A. The motion speed change period A and heart rate information HR of students in different motion states are collected. The correlation between the two is determined through data analysis, and a correlation model between the motion speed V and the heart rate information HR is established. The calculation formula of the model is shown in the following formula (1):

[0044] V = f(A, HR) (1),

[0045] Among them, V represents the motion speed.

[0046] Specifically, f is a non-linear function, as shown in the following formula (4):

[0047]

[0048] Among them, m and n are model parameters, is the preset basal heart rate. This model takes into account the complex relationship between acceleration and heart rate to more accurately reflect the motion state of students.

[0049] Among them, the change amplitude of the heart rate information is calculated based on the heart rate information HR collected in the most recent two times as the heart rate change; when the heart rate change exceeds the preset heart rate change threshold (generally 30 beats per minute, which can be specifically set by the administrator or teacher), the current mobile acceleration is obtained, and the monitoring frequency of the mobile acceleration and the heart rate information is increased; within the preset temporary monitoring time (generally 30 seconds, which can be specifically set by the teacher or administrator according to the age of the student), it is judged whether the mobile acceleration is greater than the preset acceleration threshold (generally 1 m / s, which can be specifically set by the administrator): if the mobile acceleration is greater than the preset acceleration threshold, the motion speed V will be calculated based on the mobile acceleration, and the heart rate information HR, the motion speed V, and the collection time of the heart rate information HR will be associated and stored as the time of the burst motion.

[0050] If the moving acceleration is not greater than the preset acceleration threshold, then judge the change of the moving speed V: if the decreased value of the moving speed V exceeds the preset sudden stop speed change threshold (generally 2 m / s, which can be specifically set by the teacher according to the age of the students), or the moving speed V is less than the preset walking speed threshold (generally 1 m / s, which can be specifically set by the teacher according to the age of the students), then obtain the time closest to the current time and less than the walking speed from the movement log as the movement start time, and generate a danger prompt and send it to the teacher by obtaining the moving speed V and the heart rate information HR from the movement start time to the current time; if the decreased value of the moving speed does not exceed the preset sudden stop speed change threshold and the moving speed is not lower than the preset walking speed threshold, then associate and store the current heart rate information, the corresponding moving speed, and the acquisition time of the heart rate information as the time of stable movement.

[0051] Among them, based on the student's moving speed V, movement time T, and heart rate information HR, calculate the student's exercise amount E, and the calculation formula of the exercise amount is shown in the following formula (2):

[0052] E = α·V·T + β·HR (2), where α and β are weight coefficients preset according to the individual differences of students and the type of exercise (specifically, it needs to be set by the teacher according to the physical fitness of the students);

[0053] Regularly obtain the movement log, classify the student's exercise type according to the moving speed V, combine the change of the moving speed V and the heart rate information HR with the movement time to obtain the movement start time and the movement end time, then obtain the movement duration according to the movement start time and the movement end time, and take the movement duration corresponding to the movement log as a single exercise, obtain the exercise amount E of the single exercise, compare the change of the exercise amount E of multiple single exercises as the change of exercise habits, and send the change of exercise habits to the teacher terminal and the student terminal; count the change of the heart rate information HR at different movement times T within a single exercise, and combine the first heart rate and the change of the heart rate information HR to generate a movement stop message; compare the heart rate information HR of multiple single exercises with the same movement duration in the same exercise type as the second heart rate, and compare the change of the second heart rate with the movement time; generate progress information based on the comparison result and send it to the teacher terminal and the student terminal.

[0054] Specifically, the heart rate change ΔHR not only considers the absolute difference between two heart rates, but also considers the rate and direction of the heart rate change to more accurately reflect, and the calculation formula of ΔHR is shown in the following formula (3):

[0055]

[0056] Among them, T2 and T1 are the acquisition times of the heart rates HR1 and HR2 respectively.

[0057] By continuously monitoring the heart rate, calculating the change in heart rate ΔHR, the physiological load of students during exercise is evaluated. A rapid change in heart rate may indicate a sudden change in exercise intensity, and the exercise strategy needs to be adjusted in a timely manner.

[0058] Specifically, considering the historical changes in the exercise speed V, a dynamic model is used to predict and calculate the current speed change ΔV. Here, γ and δ are model parameters used to adjust the influence of historical speed changes on the current speed change. By calculating the change in exercise speed ΔV using the dynamic model, the influence of historical speed changes on the current speed change is considered to more accurately capture the changes in the exercise state. The calculation formula for ΔV is shown in the following formula (5):

[0059] ΔV = γ·V current -V previous ) + δ·(V previous -V before_previous (5).

[0060] And a weighting factor is introduced to calculate the exercise duration T duration , reflecting the changes in exercise intensity during different time periods and providing more detailed data support for the evaluation of exercise intensity. The calculation formula for T duration is shown in the following formula (6):

[0061] T duration = k1·(t current -t walk1 ) - k2·(t walk1 -t walk2 ) (6),

[0062] where k1 and k2 are weighting factors, and t walk1 and t walk2 are the start times when the exercise speed is lower than the walking speed during different time periods.

[0063] In this embodiment, this intelligent monitoring method uses advanced data analysis and complex models to monitor and evaluate the heart rate, acceleration, and exercise speed of students in real time, thereby providing accurate feedback on the exercise state. By integrating heart rate changes, the relationship model between acceleration and heart rate, dynamic exercise speed changes, and weighted exercise duration calculation, it can generate personalized exercise guidance and safety warnings in real time, significantly improving exercise safety and optimizing teaching interaction. This method enhances the remote monitoring ability, enabling parents and teachers to timely understand the exercise situation of students. At the same time, through data-driven decision support, it improves the ability of students to self-manage exercise intensity. In addition, it promotes the long-term tracking and evaluation of students' exercise progress and health status, provides continuous health guidance for students, and ensures the exercise effect while.

[0064] Among them, the average heart rate information and the heart rate information change range during a single exercise are calculated according to the exercise duration. According to a preset exercise time interval (usually one week, which can be set by students or teachers according to the personal situation of students), the heart rate information of each exercise type is grouped; the average heart rate information and the heart rate information change range within each time interval are calculated; the heart rate stability is obtained according to the average heart rate information and the heart rate information change range, and the exercise adaptability information and fatigue degree information of the student are generated according to the heart rate stability and sent to the teacher terminal.

[0065] Among them, when determining the third recommended heart rate, first obtain the first speed of the student, obtain the current exercise type according to the first speed, and then obtain the maximum heart rate information from the exercise log as the first recommended heart rate according to the current exercise type; then obtain the personal information of the student, and obtain the second recommended heart rate according to the physical fitness information in the personal information. When the first recommended heart rate is greater than the second recommended heart rate, modify the physical fitness information in the personal information according to the first recommended heart rate, and use the first recommended heart rate as the third recommended heart rate; when the first recommended heart rate is not greater than the second recommended heart rate, and the difference between the first recommended heart rate and the second recommended heart rate is less than the preset safety interval (usually 10 beats per minute, which can be specifically set by the teacher), use the second recommended heart rate as the third recommended heart rate; when the first recommended heart rate is not greater than the second recommended heart rate, and the difference between the first recommended heart rate and the second recommended heart rate is not less than the preset safety interval, modify the physical fitness information in the personal information according to the safety interval, use the value obtained by subtracting the preset safety interval from the second recommended heart rate as the third recommended heart rate, and generate a regression information of the first recommended heart rate, the second recommended heart rate and the third recommended heart rate and send it to the teacher terminal and the student terminal.

[0066] Among them, when obtaining the exercise time as the first time according to the first speed, obtain the position information of the student, and adjust the acquisition frequency of the position information according to the first speed or the first heart rate, and integrate the obtained position information and the personal information of the student into the student positioning information and send it to the teacher terminal. When the teacher terminal receives the prompt information, obtain the student positioning information as the first positioning information through the personal information of the student, and highlight the first positioning information.

[0067] Among them, obtain the periodic change of the exercise speed according to the exercise speed V, and mark the exercise speed as unstable or stable according to the periodic change of the exercise speed V.

[0068] When the movement speed V is less than the third recommended speed and the difference from the third recommended speed is greater than the preset breakthrough speed (usually 0.5 m / s, and the specific value needs to be set by the teacher according to the age of the student), if the movement speed V is marked as unstable, information for adjusting the movement mode is generated and played (if the student wears a bracelet using the intelligent monitoring method for sports activities, the playback method is vibration reminder; if the student carries a mobile phone or other terminal using the intelligent monitoring method for sports activities, the playback method is speaker playback or vibration reminder); if the movement speed V is marked as stable, encouraging information is generated and played out.

[0069] When the movement speed V is less than the third recommended speed and the difference from the third recommended speed is not greater than the preset breakthrough speed, if the movement speed V is marked as unstable, information for slowing down the movement is generated and played out, and the acquisition frequency of the heart rate information is increased; if the movement speed V is marked as stable, encouraging information is generated and played out.

[0070] As Figure 2 shown, when the movement speed V is not less than the third recommended speed, if the movement speed V is marked as unstable, the monitoring count is initialized, information for pausing the movement is generated and played out, and the first heart rate is obtained within the preset temporary monitoring time. If the first heart rate shows an overall upward trend within the temporary monitoring time, a prompt message is generated and sent to the teacher's terminal; if the first heart rate does not show an overall upward trend within the temporary monitoring time, the monitoring count is increased, and the first heart rate within the temporary monitoring time is obtained again. If the first heart rate returns to the preset safe heart rate range (usually 50 beats per minute - 110 beats per minute, and the specific value needs to be set by the administrator) within the preset maximum monitoring count (usually 3 times, and the specific value needs to be set by the administrator), a soothing prompt is sent to the student. If the first heart rate is not within the preset safe heart rate range, a prompt message is generated and sent to the teacher's terminal; when the movement speed V is not less than the third recommended speed, if the movement speed V is marked as stable, the acquisition frequencies of the heart rate information, moving acceleration, and position information are increased.

[0071] This embodiment also includes an intelligent monitoring system for sports activities using the intelligent monitoring method for sports activities.

[0072] Specifically, when implemented, a heart rate sensor and an acceleration sensor are installed on the bracelet, and students 1 - 4 wear the bracelet. The heart rate sensor is responsible for real - time collection of the student's heart rate information, and the acceleration sensor is used to obtain the moving acceleration of the student during exercise. At the same time, the bracelet has a filtering function, which can filter the collected moving acceleration to effectively remove noise signals and ensure the accuracy of the data. The teacher uses a tablet as the teacher's terminal to receive various prompt messages, changes in exercise habits, progress information, etc. sent by the system, so as to timely understand the students' exercise situation and make corresponding decisions.

[0073] After the start of the sports activity, the heart rate sensor and acceleration sensor on the bracelets worn by Students 1 - 4 start to work. The heart rate sensor collects the students' heart rate information at regular intervals (such as every 1 second), and the acceleration sensor synchronously collects the moving acceleration of the students during exercise.

[0074] The bracelet filters the collected moving acceleration to remove noise signals generated by factors such as the shaking of the students' hands. Then, the students' exercise speed is calculated based on the acceleration data. For example, when Student 1 reaches the 10th second, the exercise speed is calculated as 2 m / s based on the acceleration data at this time. Then, the 10th second is taken as the exercise time, associated with the exercise speed of 2 m / s and the heart rate information collected at this moment (assumed to be 80 beats per minute), and stored in the exercise log.

[0075] After a period of time, the bracelet has collected a certain amount of exercise log data. By analyzing the relationship between the heart rate and exercise speed, the exercise logs are classified. For example, when the students' heart rate and exercise speed change relatively smoothly and have small fluctuations over a period of time, it is determined as stable exercise; when the heart rate suddenly increases and the exercise speed increases significantly, it is determined as explosive exercise.

[0076] Taking Student 2 as an example, during a running activity, the heart rate and speed changed smoothly during the initial stage of uniform jogging, and this part of the log was classified as stable exercise; while during the sprint, the heart rate rose rapidly and the speed also increased significantly, and this part of the log was classified as explosive exercise. Then, the system analyzes the relationship between the heart rate information, exercise time, and exercise speed from the differentiated exercise logs to provide a basis for determining the subsequent recommended heart rate.

[0077] The bracelet continuously obtains the current exercise speed as the first speed and the corresponding exercise time as the first time based on the students' moving acceleration. For example, the current first speed of Student 3 is 3 m / s, and the first time is the 20th second after the start of the activity.

[0078] Based on the exercise log, the first time, and the first speed, the first recommended heart rate is determined. Assuming that according to the exercise log of Student 3, when the speed is 3 m / s and the exercise time is similar, the maximum heart rate is 120 beats per minute, then 120 beats per minute is taken as the first recommended heart rate.

[0079] At the same time, the physical fitness information is obtained from the students' personal information to determine the second recommended heart rate. The physical fitness information of Student 3 shows that his cardiopulmonary function is good, and the second recommended heart rate is determined as 110 beats per minute according to the preset rules. Since the first recommended heart rate (120 beats per minute) is greater than the second recommended heart rate (110 beats per minute), the system modifies the physical fitness information in the personal information of Student 3 according to the first recommended heart rate and takes the first recommended heart rate of 120 beats per minute as the third recommended heart rate.

[0080] The smart bracelet obtains the student's current heart rate information in real time as the first heart rate. Suppose the first heart rate of student 4 is 125 beats per minute, and the third recommended heart rate is 120 beats per minute. Since the first heart rate is not less than the third recommended heart rate, the system generates the first information based on the first speed (suppose it is 2.5 m / s) and the first time (the 30th second after the activity starts) of student 4. Integrate the personal information, the first information and the heart rate information of student 4 into a prompt message and send it to the teacher's tablet terminal. After receiving the prompt message on the tablet, the teacher can timely pay attention to the exercise status of student 4.

[0081] The smart bracelet continuously calculates the change amplitude of the heart rate information collected in the most recent two times as the heart rate change. If the heart rate of student 1 rises from 80 beats per minute to 115 beats per minute during two adjacent collections, the heart rate change is 35 beats per minute, exceeding the preset heart rate change threshold of 30 beats per minute. At this time, the smart bracelet immediately obtains the current moving acceleration of student 1 and increases the monitoring frequency of the moving acceleration and the heart rate information, changing from collecting once every 1 second to collecting once every 0.5 seconds.

[0082] Within the preset 30-second temporary monitoring time, judge whether the moving acceleration is greater than the preset acceleration threshold of 1 m / s. If the moving acceleration of student 1 is greater than 1 m / s, calculate the movement speed V according to the moving acceleration, and associate and store the heart rate information, the movement speed V and the collection time of the heart rate information as the time of explosive exercise; if the moving acceleration is not greater than 1 m / s, then further judge the change situation of the movement speed V.

[0083] If the decreased value of the movement speed V of student 1 exceeds the preset sudden stop speed change threshold of 2 m / s, or the movement speed V is less than the preset walking speed threshold of 1 m / s, obtain the time closest to the current time and less than the walking speed from the movement log as the movement start time, and obtain the movement speed V and the heart rate information from the movement start time to the current time to generate a danger prompt and send it to the teacher. If the decreased value of the movement speed does not exceed the preset sudden stop speed change threshold and the movement speed is not lower than the preset walking speed threshold, associate and store the current heart rate information, the corresponding movement speed and the collection time of the heart rate information as the time of steady exercise.

[0084] Based on the student's movement speed V, movement time T and heart rate information HR, use the formula E = ω1VT + ω2HRT to calculate the student's exercise amount E. Suppose the teacher sets ω1 = 0.3 and ω2 = 0.7 according to the physical fitness of student 2. Student 2 has an average movement speed of 2 m / s and an average heart rate of 90 beats per minute during a 10-minute (600 seconds) exercise, then his exercise amount:

[0085] E = 0.3×2×600 + 0.7×90×600 = 360 + 37800 = 38160.

[0086] The smart bracelet regularly (e.g., weekly) obtains the exercise log and classifies the exercise types of students according to the exercise speed V. By combining the changes in the exercise speed V and heart rate information HR with the exercise time, the start time and end time of the exercise are obtained, and then the exercise duration is calculated. The exercise duration corresponding to the exercise log is regarded as a single exercise, and the exercise amount E of the single exercise is obtained. Comparing the changes in the exercise amount E of multiple single exercises is regarded as the change in exercise habits and sent to the teacher's tablet terminal and the student terminal. For example, if the average exercise amount of a student's single exercise this week is increased compared with last week, the smart bracelet will send this information about the change in exercise habits to the teacher and the tablet.

[0087] The smart bracelet counts the changes in the heart rate information HR at different exercise times T within a single exercise and generates an exercise stop message in combination with the first heart rate. Comparing the heart rate information HR of multiple single exercises of the same exercise type under the same exercise duration as the second heart rate, and comparing the change of the second heart rate with the exercise time, the comparison result is generated as progress information and sent to the teacher terminal and the student terminal.

[0088] The smart bracelet calculates the average heart rate information and the change range of heart rate information in a single exercise according to the exercise duration. For example, during a 20 - minute exercise of student 4, the average heart rate is 100 beats per minute, and the change range of heart rate information is between 90 - 110 beats per minute. The smart bracelet groups the heart rate information of each exercise type according to the preset one - week exercise time interval. Calculate the average heart rate information and the change range of heart rate information within each time interval, and obtain the heart rate stability based on these data. Assuming that student 4 has good heart rate stability during the running exercise this week, the smart bracelet generates the exercise adaptability information and fatigue degree information of student 4 and sends them to the teacher's tablet terminal.

[0089] When obtaining the exercise time as the first time according to the first speed, the position information of the student is obtained through the positioning function of the smart bracelet. Adjust the acquisition frequency of the position information according to the first speed or the first heart rate. For example, when the first speed of student 1 is faster or the first heart rate is higher, increase the acquisition frequency of the position information, from obtaining it once every 5 seconds to obtaining it once every 2 seconds. The smart bracelet integrates the obtained position information and the student's personal information into the student positioning information and sends it to the teacher's tablet terminal. When the teacher's tablet terminal receives the prompt message, the student positioning information is obtained as the first positioning information through the student's personal information and highlighted on the tablet to facilitate the teacher to timely understand the student's position.

[0090] The above are only embodiments of the present invention, and common knowledge such as specific structures and characteristics known in the art are not described in detail herein. It should be noted that for those skilled in the art, without departing from the structure of the present invention, several modifications and improvements can be made, which should also be regarded as the protection scope of the present invention, and these will not affect the implementation effect of the present invention and the practicability of the patent. The protection scope claimed in this application shall be subject to the content of its claims, and the specific implementation manners and the like recorded in the specification can be used to interpret the content of the claims.

Claims

1. An intelligent monitoring method for sports activities, characterized in that: The following steps are involved: S10: collecting the student's heart rate information and movement acceleration, obtaining the student's movement speed according to the movement acceleration, using the collection time of the movement acceleration when the movement speed is obtained as the movement time, and associating the movement time with the corresponding movement speed and heart rate information and storing them as a movement log; S20: dividing the exercise log into steady exercise and burst exercise according to the relationship between the heart rate and the exercise speed, and obtaining the relationship between the heart rate information and the exercise time and exercise speed according to the differentiated exercise log; S30: obtaining the student's current exercise speed as a first speed according to the student's movement acceleration, obtaining the exercise time as a first time according to the first speed, determining the heart rate information as a first recommended heart rate by combining the exercise log with the first time and the first speed, obtaining the student's personal information to determine a second recommended heart rate, and determining a third recommended heart rate according to the first recommended heart rate and the second recommended heart rate; S40: Obtain the student's current heart rate information as the first heart rate. When the first heart rate is not less than the third recommended heart rate, generate first information according to the first speed and the first time, integrate the student information, the first information and the heart rate information into prompt information and send it to the teacher terminal.

2. The intelligent monitoring method for sports activities according to claim 1, characterized in that: The collected movement acceleration is filtered to remove noise signals, and the periodic characteristics of movement speed change are extracted from the movement acceleration to obtain the movement speed change period A. The movement speed change period A and heart rate information HR of students in different movement states are collected, and the correlation between the two is determined through data analysis, and a movement speed V and heart rate information HR association model is established. The calculation formula of the model is shown in the following formula (1): V=f(A,HR) (1), Wherein, V represents the movement speed.

3. The intelligent monitoring method for sports activities according to claim 2, characterized in that: The change amplitude of the heart rate information is calculated as the heart rate change according to the heart rate information HR collected for the last two times; when the heart rate change exceeds the preset heart rate change threshold, the current movement acceleration is obtained, and the monitoring frequency of the movement acceleration and heart rate information is increased; within the preset temporary monitoring time, it is determined whether the movement acceleration is greater than the preset acceleration threshold: if the movement acceleration is greater than the preset acceleration threshold, the movement speed V is calculated according to the movement acceleration, and the heart rate information HR, the movement speed V and the collection time of the heart rate information HR are associated and stored as the time of the burst movement; If the moving acceleration is not greater than the preset acceleration threshold, the change of the motion speed V is judged: if the value of the decrease in the motion speed V exceeds the preset sudden stop speed change threshold, or the motion speed V is less than the preset walking speed threshold, then the time less than the walking speed closest to the current time is obtained from the motion log as the start time of the exercise, and the motion speed V and heart rate information HR obtained from the start time of the exercise to the current time are obtained to generate a danger prompt and send it to the teacher; if the value of the decrease in the motion speed does not exceed the preset sudden stop speed change threshold, and the motion speed is not lower than the preset walking speed threshold, then the current heart rate information, the corresponding motion speed and the collection time of the heart rate information are associated and stored as the time of stable movement.

4. The intelligent monitoring method for sports activities according to claim 5, characterized in that: Based on the student's exercise speed V, exercise time T and heart rate information HR, the student's exercise amount E is calculated. The calculation formula of the exercise amount is shown in the following formula (2): E=α·V·T+β·HR (2), Among them, α and β are weight coefficients preset according to individual differences of students and sports types; Obtain exercise logs regularly, classify students' exercise types according to exercise speed V, combine changes in exercise speed V and heart rate information HR with exercise time to obtain exercise start time and exercise end time, then obtain exercise duration based on exercise start time and exercise end time, use exercise duration corresponding to exercise log as a single exercise, obtain exercise amount E of a single exercise, compare changes in exercise amount E of multiple single exercises as changes in exercise habits, and send changes in exercise habits to teacher terminals and student terminals; count changes in heart rate information HR at different exercise times T within a single exercise, combine changes in the first heart rate and heart rate information HR to generate exercise stop information; compare heart rate information HR of multiple single exercises of the same exercise type at the same exercise duration as a second heart rate, and compare changes in the second heart rate with exercise time; generate progress information based on the comparison result and send it to teacher terminals and student terminals.

5. The intelligent monitoring method for sports activities according to claim 4, characterized in that: Calculate the average heart rate information and the range of heart rate information changes in a single exercise according to the exercise duration, and group the heart rate information of each exercise type according to the preset exercise time interval; calculate the average heart rate information and the range of heart rate information changes in each time interval; obtain the heart rate stability based on the average heart rate information and the range of heart rate information changes, and generate the student's exercise adaptability information and fatigue level information based on the heart rate stability and send them to the teacher's terminal.

6. The intelligent monitoring method for sports activities according to claim 5, characterized in that: When determining the third recommended heart rate, first obtain the first speed of the student, obtain the current exercise type according to the first speed, and then obtain the maximum heart rate information from the exercise log according to the current exercise type as the first recommended heart rate; Then, the student's personal information is obtained, and a second recommended heart rate is obtained according to the physical fitness information in the personal information. When the first recommended heart rate is greater than the second recommended heart rate, the physical fitness information in the personal information is modified according to the first recommended heart rate, and the first recommended heart rate is used as the third recommended heart rate; When the first recommended heart rate is not greater than the second recommended heart rate, and the difference between the first recommended heart rate and the second recommended heart rate is less than a preset safety interval, the second recommended heart rate is used as the third recommended heart rate; When the first recommended heart rate is not greater than the second recommended heart rate, and the difference between the first recommended heart rate and the second recommended heart rate is not less than the preset safety interval, the physical fitness information in the personal information is modified according to the safety interval, and the value obtained by subtracting the preset safety interval from the second recommended heart rate is used as the third recommended heart rate. The first recommended heart rate, the second recommended heart rate and the third recommended heart rate generate regression information and send it to the teacher terminal and the student terminal.

7. The intelligent monitoring method for sports activities according to claim 6, characterized in that: When the exercise time is obtained as the first time according to the first speed, the location information of the student is obtained, and the frequency of obtaining the location information is adjusted according to the first speed or the first heart rate, and the obtained location information and the personal information of the student are integrated into the student positioning information and sent to the teacher terminal; When the teacher terminal receives the prompt information, the student's location information is obtained through the student's personal information as the first location information, and the first location information is highlighted.

8. The intelligent monitoring method for sports activities according to claim 7, characterized in that: Obtaining a periodic change of the motion speed according to the motion speed V, and marking the motion speed as unstable or stable according to the periodic change of the motion speed V; When the movement speed V is less than the third recommended speed, and the difference between the movement speed V and the third recommended speed is greater than the preset breakthrough speed, if the movement speed V is marked as unstable, a message for adjusting the movement mode is generated and played; If the motion speed V is marked as stable, an encouraging message is generated and played out; When the exercise speed V is less than the third recommended speed, and the difference between the exercise speed V and the third recommended speed is not greater than the preset breakthrough speed, if the exercise speed V is marked as unstable, a slowing down exercise information is generated and played, and the frequency of collecting heart rate information is increased; if the exercise speed V is marked as stable, an encouraging message is generated and played; When the movement speed V is not less than the third recommended speed, if the movement speed V is marked as unstable, the monitoring times are initialized, a message of pausing the movement is generated and played, and the first heart rate is obtained within the preset temporary monitoring time. If the first heart rate shows an overall upward trend during the temporary monitoring time, a prompt message is generated and sent to the teacher terminal; if the first heart rate does not show an overall upward trend during the temporary monitoring time, the monitoring times are increased, and the first heart rate within the temporary monitoring time is obtained again. If the first heart rate recovers to the preset safe heart rate range within the preset maximum monitoring times, a comforting prompt is issued to the student. If the first heart rate is not within the preset safe heart rate range, a prompt message is generated and sent to the teacher terminal; when the movement speed V is not less than the third recommended speed, if the movement speed V is marked as stable, the frequency of collecting heart rate information, movement acceleration, and position information is increased.

9. An intelligent monitoring system for sports activities according to claim 8, characterized in that: An intelligent monitoring method for sports activities as described in any one of claims 1-8 is used.

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