Monitoring system for sports willingness based on environment temperature

Abstract

The invention discloses a monitoring system for exercise willingness based on environment temperature, and mainly relates to the field of exercise monitoring. Comprising a temperature acquisition module, a data acquisition module and a behavior acquisition module, the temperature acquisition module is used for acquiring environment temperature data of a sports place in real time and comprises a plurality of temperature sensors, the data acquisition module is used for acquiring physiological data of a user, and the behavior acquisition module is used for acquiring behavior data of the user and comprises an acceleration sensor and a gyroscope sensor. And the data processing unit is used for receiving and processing the environment temperature data, the physiological data and the behavior data. The method has the beneficial effects that the environment temperature can be accurately sensed, and personalized exercise suggestions are provided for the user in combination with the tolerance degree of the human body to different temperatures and the exercise suitability. Therefore, the safety and comfort in the exercise process are effectively improved, and the user can enjoy the exercise under proper conditions.

Description

Technical Field

[0001] The present invention relates to the field of sports monitoring, in particular to a system for monitoring sports willingness based on ambient temperature. Background Art

[0002] The statements in this section merely provide background information related to the present invention and do not necessarily constitute prior art.

[0003] With the development of society, people pay more and more attention to health and sports. However, the willingness to exercise is often affected by many factors, among which the ambient temperature is a key factor that cannot be ignored. Changes in ambient temperature can have a significant impact on the physiological functions and psychological state of the human body, which in turn greatly affects the individual's willingness to participate in exercise and actual exercise behavior.

[0004] From a physiological point of view, when the ambient temperature is too high, the human body will dissipate heat through sweating and other means in order to maintain the stability of the core body temperature, which will lead to the loss of body water and electrolytes, making the body feel tired and uncomfortable, thereby reducing the willingness to exercise. At the same time, in a high temperature environment, the heart needs to bear a greater load to maintain blood circulation, which may cause physiological reactions such as increased heart rate and blood pressure, further inhibiting people's desire to engage in high-intensity exercise. On the contrary, in cold ambient temperatures, the human body needs to consume more energy to maintain body temperature, and the flexibility of muscles and joints will decrease, which not only increases the risk of sports injuries, but also makes people feel afraid of difficulties and reduces their willingness to actively exercise.

[0005] Studies have shown that although people are aware of the close connection between ambient temperature and exercise, there is a lack of effective technical means to accurately and in real time monitor the impact of ambient temperature on exercise willingness. Traditional methods are mostly based on empirical judgments or general climate data and macro-statistical analysis of people's exercise behavior, and are unable to accurately evaluate and dynamically monitor individuals' exercise willingness in specific environments. This situation makes it difficult for individuals to fully consider the real-time impact of ambient temperature factors on participants' exercise willingness when making daily exercise plans, or for sports organizations and fitness clubs to arrange training courses and activities, thus failing to achieve the best exercise results and participation, and may even lead to sports injuries or loss of participants due to inappropriate exercise arrangements. Summary of the invention

[0006] The purpose of the present invention is to provide a monitoring system for exercise willingness based on ambient temperature, which can accurately sense the ambient temperature and provide personalized exercise suggestions for users based on the human body's tolerance to different temperatures and exercise suitability. This effectively improves the safety and comfort during exercise and allows users to enjoy exercise under appropriate conditions. By continuously monitoring changes in ambient temperature, the monitoring system can help users better plan exercise time and intensity.

[0007] In order to achieve the above object, the present invention is implemented through the following technical solutions:

[0008] A monitoring system for exercise willingness based on ambient temperature, a temperature acquisition module, for real-time acquisition of ambient temperature data of a sports venue, the temperature acquisition module includes a plurality of temperature sensors, and the temperature sensors can convert ambient temperature into electrical signals;

[0009] A data acquisition module is used to collect the user's physiological data. The data acquisition module includes a heart rate sensor and a skin galvanic response sensor. The heart rate sensor is used to detect the user's heart rate, and the skin galvanic response sensor is used to detect the user's skin galvanic response;

[0010] A behavior collection module is used to collect the user's behavior data. The behavior collection module includes an acceleration sensor and a gyroscope sensor. The acceleration sensor is used to detect the user's motion acceleration, and the gyroscope sensor is used to detect the user's body posture changes;

[0011] A data transmission module, used to transmit the ambient temperature data, physiological data and behavioral data to a data processing unit;

[0012] A data processing unit is used to receive and process the ambient temperature data, physiological data and behavioral data. The data processing unit includes a data preprocessing module, a feature extraction module and an exercise willingness evaluation module. The data preprocessing module is used to process and reduce noise on the data. The feature extraction module is used to extract feature parameters related to exercise willingness from the preprocessed data. The exercise willingness evaluation module is used to evaluate the user's exercise willingness based on the feature parameters.

[0013] It also includes a user terminal for receiving and displaying the degree of exercise willingness and related data information. The user terminal includes a display screen and an alarm device. When the degree of exercise willingness is lower than a preset threshold, the alarm device sends a reminder message.

[0014] The temperature sensor is a digital temperature sensor. The data transmission module adopts wireless transmission technology. The exercise willingness evaluation module adopts a machine learning algorithm to build an evaluation model, and the machine learning algorithm includes a decision tree, a neural network, and a support vector machine. The evaluation model can be self-optimized and adjusted according to continuously updated data.

[0015] The display screen of the user terminal is a touch screen, which can intuitively display the degree of exercise willingness, ambient temperature trend, physiological data change curve and behavioral data statistical information in various forms such as charts and texts.

[0016] The monitoring system also includes a data storage module for storing the ambient temperature data, physiological data, behavioral data and exercise willingness evaluation results. The data storage module combines local storage and cloud storage to ensure data security and scalability. The data storage module supports fast query and call of data.

[0017] Compared with the prior art, the beneficial effects of the present invention are:

[0018] 1. Improve sports safety and comfort: The monitoring system can accurately sense the ambient temperature and provide users with personalized sports suggestions based on the human body's tolerance to different temperatures and sports suitability. This effectively improves the safety and comfort of exercise, allowing users to enjoy sports under appropriate conditions.

[0019] 2. Optimize exercise planning and results: By continuously monitoring changes in ambient temperature, the monitoring system can help users better plan exercise time and intensity. During periods of suitable temperature, users are encouraged to do more challenging sports or increase the amount of exercise to achieve better exercise results; when the ambient temperature is not conducive to exercise, some indoor or low-intensity alternative exercise methods are recommended to ensure that the user's exercise plan is not greatly affected, and that they continue to maintain good exercise habits and physical condition, which helps achieve long-term health goals.

[0020] 3. Promote scientific exercise decision-making: It provides objective and accurate data support, enabling users to make more scientific and reasonable exercise decisions based on the key factor of ambient temperature. Whether it is personal daily exercise arrangements or team training plan formulation, they can be flexibly adjusted based on the temperature information fed back by the system to avoid physical discomfort or poor exercise results caused by blind exercise, and further improve the scientificity and professionalism of exercise.

[0021] 4. Expand application scenarios and population coverage: This system is not only applicable to personal fitness, but can also be widely used in school physical education, community fitness activities, corporate employee health management, outdoor sports event organization, etc. People of different ages, health conditions and sports levels can use this system to better adapt to changes in ambient temperature and enjoy a safe and efficient sports experience. It has broad social benefits and application value, and helps promote the development of national fitness. BRIEF DESCRIPTION OF THE DRAWINGS

[0022] Attached Figure 1It is a structural diagram of the monitoring system of exercise willingness based on ambient temperature of the present invention.

[0023] Attached Figure 2 It is a graph of heart rate changes at different intensities of the monitoring system for exercise willingness based on ambient temperature in the present invention.

[0024] Attached Figure 3 It is a graph of skin temperature changes at different intensities of the monitoring system for exercise willingness based on ambient temperature in the present invention. DETAILED DESCRIPTION

[0025] The present invention will be further described below in conjunction with specific embodiments. It should be understood that these embodiments are only used to illustrate the present invention and are not intended to limit the scope of the present invention. In addition, it should be understood that after reading the content taught by the present invention, those skilled in the art can make various changes or modifications to the present invention, and these equivalent forms fall within the scope limited by the application equally.

[0026] The present invention is a system for monitoring exercise intention based on ambient temperature, and the main structure includes

[0027] Hardware

[0028] Temperature sensor deployment: Install temperature sensors in different areas of the sports venue to ensure accurate collection of ambient temperature data at each location. These sensors should have fast response, high sensitivity and stability, and be able to transmit temperature information to the data processing center in real time. Wireless digital temperature sensors can be used to send temperature data at regular intervals to ensure the timeliness and accuracy of the data.

[0029] Data acquisition and transmission equipment: Each temperature sensor is connected to a small data acquisition module, which is responsible for receiving the temperature signal from the sensor and converting it into a digital format for preliminary processing and packaging. The data acquisition module sends the packaged data to a data processing center located near the sports venue or in the cloud through wireless communication technology. At the same time, in order to ensure the stability and reliability of data transmission, multi-channel transmission and data verification mechanisms can be used to avoid data loss or errors due to signal interference or equipment failure.

[0030] User terminal equipment: Users are equipped with smart devices with communication functions, which are equipped with special sports monitoring applications. The APP establishes a connection with the data processing center, receives information about the current ambient temperature and data such as exercise recommendations and willingness index generated based on the temperature, and displays them to users in an intuitive and easy-to-understand way, such as through charts, text prompts or voice broadcasts.

[0031] Software

[0032] Data processing and analysis algorithm: In the data processing center, a specially designed data analysis software is run. The software first processes and reduces the noise of a large amount of temperature data received from various temperature sensors, removes outliers and noise interference, and ensures the quality of the data. Then, using machine learning or statistical analysis algorithms, combined with historical ambient temperature data, time information, and past user exercise behavior data at different temperatures, a mathematical model between ambient temperature and exercise willingness is established. By continuously optimizing and training this model, it can accurately predict the user's exercise willingness at different ambient temperatures, generate corresponding exercise suggestions, and recommend appropriate sports, exercise duration, and intensity range.

[0033] Exercise willingness index calculation model: Based on the above data analysis results, a sports willingness index calculation model is constructed. This model comprehensively considers meteorological factors such as ambient temperature, humidity, wind speed, and time factors such as time, date, and season, and assigns a corresponding exercise willingness index to the environmental conditions at each moment. This index range can be set to 0-100, where 0 means it is extremely unsuitable for exercise and the user's exercise willingness is extremely low; 100 means it is very suitable for exercise and the user's exercise willingness is extremely high. By calculating the exercise willingness index in real time and feeding it back to the user's terminal device, the user can intuitively understand the suitability of the current environment for exercise, so as to make better exercise decisions.

[0034] User interface and interaction design: In the design of the APP interface on the user terminal device, emphasis is placed on simplicity and ease of use. The main interface displays the real-time ambient temperature of the current location, the exercise willingness index, and a brief overview of exercise recommendations. Users can click to enter the detailed information page to view more specific data analysis results, including historical temperature change curves, a recommended list of common sports at different temperatures, and personalized exercise plan adjustment recommendations. At the same time, the APP also provides a user feedback function, allowing users to record their feelings and experiences during actual exercise. These data will be transmitted back to the data processing center for further optimization of models and algorithms to improve the accuracy and practicality of the system.

[0035] System calibration and updates

[0036] Regular calibration: To ensure the measurement accuracy of the temperature sensor, the temperature sensors installed at various locations are calibrated regularly using a standard thermometer. During the calibration process, the measurement error of the sensor is recorded, and the subsequent collected data is corrected accordingly through the software algorithm to ensure that the temperature data used by the system always maintains high accuracy.

[0037] Model update and optimization: As time goes by and user data accumulates, the mathematical model between ambient temperature and exercise willingness is continuously updated and optimized. Newly collected user exercise behavior data and environmental data are regularly analyzed to identify potential deviations and deficiencies in the model, and the accuracy and reliability of the model's prediction of exercise willingness under different environmental conditions are improved by adjusting model parameters, introducing new variables, or improving algorithms. At the same time, we pay attention to the latest research results and technological advances in the field of meteorology, and promptly integrate relevant knowledge into the system's data analysis and model construction, so that the system can better adapt to various complex and changing environmental conditions and provide users with more accurate and scientific exercise recommendations and monitoring services.

[0038] Through the collaborative work of hardware and software parts and the continuous calibration and updating of the system, the system can effectively realize real-time monitoring of ambient temperature, and provide users with targeted exercise willingness assessment and personalized exercise guidance, helping users to exercise more scientifically, safely and comfortably under different environmental conditions.

Claims

1. A system for monitoring exercise willingness based on ambient temperature, characterized in that: A temperature acquisition module is used to collect the ambient temperature data of the sports venue in real time. The temperature acquisition module includes a plurality of temperature sensors, which can convert the ambient temperature into an electrical signal; A data acquisition module, used to collect physiological data of the user, the data acquisition module includes a heart rate sensor and a skin galvanic response sensor, the heart rate sensor is used to detect the user's heart rate, and the skin galvanic response sensor is used to detect the user's skin galvanic response; A behavior collection module, used to collect the user's behavior data, the behavior collection module includes an acceleration sensor and a gyroscope sensor, the acceleration sensor is used to detect the user's movement acceleration, and the gyroscope sensor is used to detect the user's body posture changes; A data transmission module, used to transmit the ambient temperature data, physiological data and behavioral data to a data processing unit; A data processing unit is used to receive and process the ambient temperature data, physiological data and behavioral data. The data processing unit includes a data preprocessing module, a feature extraction module and an exercise willingness evaluation module. The data preprocessing module is used to process and reduce noise on the data. The feature extraction module is used to extract feature parameters related to exercise willingness from the preprocessed data. The exercise willingness evaluation module is used to evaluate the user's exercise willingness based on the feature parameters.

2. The system for monitoring exercise willingness based on ambient temperature according to claim 1, characterized in that: It also includes a user terminal for receiving and displaying the degree of exercise willingness and related data information. The user terminal includes a display screen and an alarm device. When the degree of exercise willingness is lower than a preset threshold, the alarm device sends a reminder message.

3. The system for monitoring exercise willingness based on ambient temperature according to claim 2, characterized in that: The temperature sensor is a digital temperature sensor.

4. The system for monitoring exercise willingness based on ambient temperature according to claim 3, characterized in that: The data transmission module adopts wireless transmission technology.

5. The system for monitoring exercise intention based on ambient temperature according to claim 4, characterized in that: The exercise willingness assessment module uses a machine learning algorithm to construct an assessment model. The machine learning algorithm includes a decision tree, a neural network, and a support vector machine. The assessment model can perform self-optimization and adjustment according to continuously updated data.

6. The system for monitoring exercise intention based on ambient temperature according to claim 5, characterized in that: The display screen of the user terminal is a touch screen, which can intuitively display the degree of exercise willingness, ambient temperature trend, physiological data change curve and behavioral data statistical information in various forms such as charts and texts.

7. The system for monitoring exercise intention based on ambient temperature according to claim 6, characterized in that: The monitoring system also includes a data storage module for storing the ambient temperature data, physiological data, behavioral data and exercise willingness evaluation results. The data storage module combines local storage and cloud storage to ensure data security and scalability. The data storage module supports fast query and call of data.

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