Intelligent treadmill system and internet-based multimedia interaction method thereof

Abstract

The invention relates to the field of intelligent fitness, and discloses an intelligent treadmill system and an internet-based multimedia interaction method thereof, the system comprises a treadmill main body, and the treadmill main body comprises a rack for supporting, a running belt and a speed control device; the internet connection module is connected with the internet in a wireless communication mode and realizes two-way data transmission; the multimedia content display module is used for acquiring and displaying the multimedia content from the Internet according to an instruction input by a user through the user interaction module; the user interaction module is used for inputting a multimedia content selection instruction and adjusting running parameters of the treadmill; the user information storage and analysis module is used for storing running data and multimedia content preference information of the user; and on the basis of historical data analysis, personalized multimedia content recommendation and running training plans are generated. Real-time pushing and interaction of multimedia content are achieved through Internet connection, a user can select music, videos or virtual scenes according to personal preferences, and the running experience is improved.

Description

Technical Field

[0001] The present invention relates to the field of intelligent fitness, and in particular to an intelligent treadmill system and an Internet-based multimedia interaction method thereof. Background Art

[0002] As people become more health-conscious, treadmills are becoming increasingly popular as indoor fitness equipment. Traditional treadmills primarily facilitate running, such as adjusting parameters like belt speed and incline, and recording data like running time, distance, and calories burned. However, these limited functions can easily lead to boredom, making it difficult for users to maintain motivation and maintain sustained exercise.

[0003] In our fast-paced lives, people's demands for fitness equipment go beyond basic exercise functions. They also expect entertainment and interactive experiences during exercise to make exercise more interesting and engaging. For example, while running, they can listen to music, watch videos, or immerse themselves in various virtual scenes such as the seaside, forests, and city streets, thus alleviating exercise fatigue and making exercise more relaxing and enjoyable.

[0004] Currently, some treadmills on the market offer multimedia features, such as built-in music playlists or pre-stored scene videos. However, these multimedia contents cannot be updated in real time, and user selection is limited, far from meeting the diverse and personalized needs of users. Furthermore, these treadmills lack internet connectivity, preventing real-time interaction with network resources and providing dynamic multimedia content services based on real-time user feedback and needs. Therefore, there is an urgent need for a smart treadmill system that can deliver and interact with multimedia content in real time via internet connectivity. Summary of the Invention

[0005] The purpose of the present invention is to provide an intelligent treadmill system and an Internet-based multimedia interactive method thereof to solve the above technical problems.

[0006] The purpose of the present invention can be achieved through the following technical solutions:

[0007] An intelligent treadmill system, comprising:

[0008] The treadmill body includes a frame for support, a running belt and a speed control device;

[0009] An Internet connection module, integrated into the treadmill body, is used to connect to the Internet via wireless communication and realize two-way data transmission;

[0010] A multimedia content display module, connected to the Internet connection module and the control system of the treadmill body, is used to obtain and display multimedia content from the Internet based on instructions input by the user through the user interaction module. The multimedia content includes music, videos, and virtual scene images. The multimedia content display module is a touch screen embedded in the operation panel area;

[0011] A user interaction module is provided on the treadmill body and includes physical buttons, a touch screen or a voice input device for inputting multimedia content selection instructions and adjusting treadmill operating parameters;

[0012] The user information storage and analysis module is used to store the user's running data and multimedia content preference information; and based on historical data analysis, generate personalized multimedia content recommendations and running training plans.

[0013] In a further embodiment, the historical running data includes running time, speed, heart rate, and calories burned;

[0014] Analyze the user's historical running data through a machine learning model to extract characteristics of the user's running habits, including the user's stable heart rate range, the correlation between running speed and multimedia content type, and fatigue threshold (based on the time when the heart rate suddenly changes or the speed suddenly drops);

[0015] Generate personalized recommendation strategies based on analysis results, including:

[0016] Match the rhythm of multimedia content based on the current running phase (warm-up / sprint / cool-down);

[0017] When a user is detected approaching fatigue threshold, push motivational videos or adjust the intensity of the training plan;

[0018] An adaptive running intensity curve is generated in combination with the user's goal (fat loss / endurance improvement), and the speed is automatically adjusted through the control system of the treadmill body.

[0019] In a further solution, the machine learning model is a time series neural network, the input data includes the time series data of the user running N times in a row, and the output is:

[0020] The type labels of multimedia content recommended in the next stage;

[0021] Target speed adjustment amplitude Δv and duration Δt.

[0022] In a further solution, the running speed adjustment process is as follows:

[0023] Based on the user's historical maximum heart rate HR max Calculate the target interval:

[0024] Target heart rate range = [A × HRmax ,B×HR max ], A and B are preset coefficients;

[0025] If the user's real-time heart rate continues to exceed the target range, the speed will be reduced according to the following formula:

[0026] v new =v c -k(HR c -B×HR max );

[0027] Where k is the attenuation coefficient, HR c is the real-time monitored heart rate value, v c is the real-time running speed value, v new is the reduced running speed value.

[0028] In a further embodiment, the generation of the running training plan includes the following steps:

[0029] Based on the average and peak values ​​of the user's historical running data, the training levels are divided into beginner, intermediate and advanced levels;

[0030] Matching a preset running intensity curve according to the training level, the curve including a warm-up phase, a target speed maintenance phase, and a cool-down phase;

[0031] The running intensity curve is synchronized with the recommended multimedia content so that the video scene switching or the music rhythm change matches the running intensity stage.

[0032] In a further embodiment, the system further includes a real-time feedback module for:

[0033] Monitor the user's current status in real time through the heart rate sensor;

[0034] If the user's heart rate is detected to be outside the target range, the treadmill speed will be automatically reduced and the multimedia content display module will be triggered to play soothing content;

[0035] At the same time, the user interaction module prompts you to adjust your posture or breathing rate.

[0036] In a further embodiment, the personalized recommendation is further combined with external environmental data, including:

[0037] Get real-time weather information through the Internet connection module;

[0038] Compare the real-time temperature and humidity with the preset temperature and humidity warning values. When the real-time temperature or humidity exceeds the corresponding warning value, it is judged as high temperature or high humidity weather.

[0039] In hot or humid weather, indoor virtual scene images and low-intensity training plans are recommended.

[0040] In a further solution, the user information storage and analysis module communicates with the third-party health management platform for data to:

[0041] Import user's sleep quality data;

[0042] The sleep quality data is comprehensively analyzed to determine whether there is insufficient sleep. If there is insufficient sleep, the training intensity of the day is automatically reduced; otherwise, the training intensity of the day is maintained.

[0043] A multimedia interactive method based on the Internet, comprising the following steps:

[0044] S1. The treadmill is connected to the Internet via an Internet connection module to establish a data communication link;

[0045] S2. The user inputs a multimedia content selection instruction through the user interaction module;

[0046] S3. The Internet connection module sends the user's selection instruction to the corresponding server on the Internet;

[0047] S4. The server selects corresponding multimedia content according to the user instruction and transmits the multimedia content to the multimedia content display module of the treadmill via the Internet for display;

[0048] S5. During the running process, the user adjusts the running parameters of the treadmill through the user interaction module and chooses whether to switch multimedia content.

[0049] Beneficial effects of the present invention:

[0050] (1) Real-time push and interaction of multimedia content is achieved through Internet connection. Users can choose music, videos or virtual scenes according to their personal preferences to enhance the running experience;

[0051] (2) Through machine learning models, user historical data such as heart rate, speed, and content preferences are analyzed to match multimedia content suitable for the current exercise state in real time, such as music rhythm and video scenes, significantly reducing the boredom of exercise and improving user stickiness; and combining virtual scene images such as forests, city night scenes, and real-time weather data to create a diverse exercise environment and enhance fun;

[0052] (3) Based on the target heart rate range and real-time heart rate feedback, the running speed is automatically adjusted to avoid excessive fatigue or sports injuries. When the user's heart rate exceeds the threshold, the speed can be dynamically reduced to ensure safety. It also integrates third-party health data on sleep quality to generate adaptive training plans, such as automatically reducing the intensity when sleep is insufficient, to achieve scientific fitness. BRIEF DESCRIPTION OF THE DRAWINGS

[0053] The present invention will be further described below with reference to the accompanying drawings.

[0054] Figure 1 This is a schematic diagram of the connection of system modules of the present invention;

[0055] Figure 2 Schematic diagram of the method steps of the present invention. DETAILED DESCRIPTION

[0056] The following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making any creative efforts shall fall within the scope of protection of the present invention.

[0057] See also Figure 1-Figure 2 As shown, the present invention is an intelligent treadmill system, comprising:

[0058] The treadmill body includes a support frame, a running belt, and a speed control device; the speed control device is a variable frequency motor;

[0059] The Internet connection module is integrated into the treadmill body and is used to connect to the Internet through wireless communication and realize two-way data transmission; the wireless communication method includes a Wi-Fi module or a 4G / 5G communication module; user running data such as heart rate and speed can be uploaded to the cloud in real time for long-term analysis; at the same time, the latest multimedia content such as music and videos can be downloaded from the cloud; multi-mode communication (Wi-Fi / 5G) ensures a stable connection when the network environment changes, avoiding content interruption.

[0060] The multimedia content display module is connected to the Internet connection module and the control system of the treadmill body, and is used to obtain and display multimedia content from the Internet according to the instructions input by the user through the user interaction module. The multimedia content includes music, video and virtual scene images. The multimedia content display module is a touch display screen embedded in the operation panel area; playing virtual scenes such as forests and cities through the high-definition display screen significantly reduces the boredom of exercise and improves user stickiness; touch operation allows users to quickly switch content, such as sliding to select the next music, without interrupting running; content is dynamically adjusted according to the running stage, such as playing soothing music in the warm-up stage and switching to motivational videos in the sprint stage.

[0061] The user interaction module is set on the treadmill body and includes physical buttons, touch screen or voice input device, which is used to input multimedia content selection instructions and adjust treadmill operating parameters; it can meet different user preferences, such as touch is suitable for young people, and voice is suitable for people with hand disabilities; users can directly adjust parameters through voice commands such as "speed up to 8km / h" without manual operation; physical buttons serve as redundant backup of the touch screen to ensure that it can still be controlled in the event of a screen failure.

[0062] The user information storage and analysis module is used to store users' running data and multimedia content preferences. Based on historical data analysis, it generates personalized multimedia content recommendations and running training plans. By analyzing historical data such as the user's average speed and heart rate range, it recommends appropriate multimedia content, such as songs with a matching BPM for rock music preferences. Based on user goals such as fat loss and endurance, it generates adaptive plans such as interval training courses, automatically adjusting the speed through the control system. The module continuously learns from user behavior, such as the frequent selection of low-intensity workouts for nighttime running, and dynamically adjusts its recommendation strategy.

[0063] The present invention integrates multiple functional modules to achieve the integration of the basic exercise functions of a treadmill with multimedia entertainment and personalized services. Among them, the treadmill body provides a stable running platform; the Internet connection module enables the treadmill to have networking capabilities, realizes two-way data transmission, and provides support for multimedia content acquisition and user data interaction; the multimedia content display module can display a variety of multimedia content to enrich the running experience; the user interaction module facilitates user operation; the user information storage and analysis module generates personalized recommendations and training plans based on historical data; users can choose their favorite music, videos or virtual scenes while running, and can also obtain personalized services, which greatly enhances the fun and attractiveness of exercise and makes it easier for users to stick to exercise.

[0064] The historical running data includes running time, speed, heart rate and calories burned;

[0065] Analyzing the user's historical running data through a machine learning model to extract characteristics of the user's running habits, including the user's stable heart rate range, the correlation between running speed and multimedia content type, and fatigue threshold;

[0066] Fatigue threshold: when the heart rate mutation amplitude is greater than 10bpm / second and the speed drop rate is greater than 15%, the fatigue state is triggered;

[0067] Generate personalized recommendation strategies based on analysis results, including:

[0068] Match the rhythm of multimedia content based on the current running phase, such as warm-up / sprint / cool-down;

[0069] When a user is detected approaching fatigue threshold, push motivational videos or adjust the intensity of the training plan;

[0070] An adaptive running intensity curve is generated in combination with user goals such as fat loss / endurance improvement, and the speed is automatically adjusted through the control system of the treadmill body.

[0071] The present invention extracts key features through in-depth analysis of historical running data, enabling more accurate personalized recommendations and training plan development. Determining the user's stable heart rate range helps monitor exercise intensity and ensure exercise safety. Discovering the correlation between running speed and multimedia content type allows matching appropriate multimedia content based on exercise status, enhancing the exercise experience. Identifying fatigue thresholds and pushing motivational content or adjusting training plan intensity when approaching can prevent users from becoming overly fatigued and improve exercise effectiveness and safety. Generating an adaptive running intensity curve based on user goals and automatically adjusting speed makes training more targeted and meets the exercise needs of different users. The above technical solution addresses the problem of large differences in user exercise needs and the inability of traditional treadmills to accurately match them, enabling treadmills to provide customized services based on each user's characteristics, improving user satisfaction and loyalty.

[0072] The machine learning model is a time series neural network. The input data includes the time series data of the user's N consecutive runs. The output is:

[0073] The type labels of multimedia content recommended in the next stage;

[0074] Target speed adjustment amplitude Δv and duration Δt.

[0075] In the present invention, a time series neural network is used as a machine learning model, which can more effectively process the time series data of the user's continuous running, accurately predict the multimedia content type label, target speed adjustment range and duration recommended in the next stage, making the recommendation and speed adjustment more scientific, reasonable and accurate, further improving the matching degree between multimedia content and exercise process, optimizing the user's running experience, ensuring that the exercise intensity is in line with the user's physical condition and exercise goals, and improving the exercise effect; by introducing advanced machine learning models, the prediction and decision-making capabilities are improved.

[0076] The adjustment process of the running speed is as follows:

[0077] Based on the user's historical maximum heart rate HR max Calculate the target interval:

[0078] Target heart rate range = [A × HR max ,B×HR max ], A and B are preset coefficients. The target heart rate range for aerobic exercise is usually 60%-80% of the maximum heart rate, so set A=0.6 and B=0.8;

[0079] If the user's real-time heart rate continues to exceed the target range, the speed will be reduced according to the following formula:

[0080] v new =v c -k(HR c -B×HR max );

[0081] Among them, k is the attenuation coefficient, the default value is 0.1, the attenuation coefficient k is not fixed, but will be dynamically adjusted according to the individual differences and exercise habits of the user; the system will record the speed adjustment when the user's heart rate exceeds the target range during each exercise. If it is found that the user's heart rate can quickly stabilize back to the target range after the speed adjustment and the body does not have any discomfort, the k value will be appropriately increased to speed up the speed adjustment and improve exercise efficiency; if the user feels obvious fatigue or the heart rate fluctuates too much after the speed adjustment, the k value will be appropriately reduced to make the speed adjustment smoother to ensure the user's exercise safety and HR c is the real-time monitored heart rate value, v c is the real-time running speed value, v new The running speed value after the reduction. For example, if the user's real-time heart rate exceeds the upper limit of the target heart rate range for 2 minutes, it is considered to be continuously exceeding the target range.

[0082] Example: User's historical maximum heart rate HR max If the target heart rate is 180 beats / minute, then the lower limit of the target heart rate range = 0.6×180 = 108 beats / minute, and the upper limit = 0.8×180 = 144 beats / minute. This means that during running, the user's heart rate should ideally be maintained between 108-144 beats / minute;

[0083] User's current running speed v c 6km / h, real-time heart rate HR c Reaching 150 beats / minute, exceeding the upper limit of the target heart rate range calculated above, 144 beats / minute HR max is 180 times / minute, and we can get the formula: new =6-0.1×(150-0.8×180)=5.4, that is, the treadmill speed is automatically adjusted to 5.4km / h;

[0084] In the present invention, the target heart rate interval is calculated based on the user's historical maximum heart rate, and the running speed is adjusted according to the real-time heart rate, which effectively ensures the user's exercise safety; the reasonable target heart rate interval setting provides the user with a scientific exercise intensity reference; when the real-time heart rate exceeds the target interval, the speed is automatically reduced, which can prevent the user from causing physical discomfort or sports injuries due to excessively high heart rate. The above-mentioned mechanism of dynamically adjusting the speed according to the heart rate makes the exercise process safer and more reliable, and enhances the user's trust in the treadmill; during exercise, heart rate is a key indicator reflecting the body's load. By monitoring the heart rate and adjusting the speed, the exercise risk is reduced.

[0085] The generation of the running training plan includes the following steps:

[0086] Based on the average and peak values ​​of the user's historical running data, the training levels are divided into beginner, intermediate and advanced levels. Specifically:

[0087] By formula Calculate the comprehensive score S and compare it with the preset score range. If it exceeds the score range, it is high, if it is below the score range, it is low, and if it falls within the score range, it is medium.

[0088] Where n is the number of user running parameters, ω i is the weight coefficient of the i-th running parameter, which is used to measure the importance of each running parameter in the comprehensive score. It can be determined through statistical analysis of a large amount of user data and expert experience. For example, for users whose main goal is to improve endurance, the weight coefficients of running duration and heart rate can be appropriately increased; for users who pursue speed improvement, the weight coefficient of running speed can account for a larger proportion. i is the preset proportional coefficient of the i-th running parameter, ω i , α i The value range is [0, 1], is the average value of each running parameter, E imax is the peak value of each running parameter;

[0089] Matching a preset running intensity curve according to the training level, the curve including a warm-up phase, a target speed maintenance phase, and a cool-down phase;

[0090] The running intensity curve is synchronized with the recommended multimedia content so that the video scene switching or the music rhythm change matches the running intensity stage.

[0091] For beginners: The linear intensity curve is generated by:

[0092] Match soothing music (BPM < 100); during the warm-up phase, the speed is maintained at 3 km / h. This speed allows all parts of the body to gradually adapt to the exercise state without placing too much burden on novice users. From the 5th minute, it enters the gradual phase, and the speed gradually increases at a rate of 0.1 km / h per minute. This is in consideration of the weak physical adaptability of novice users. Slowly increasing the speed helps the body gradually adapt to higher-intensity exercise and reduce the risk of injury. When the exercise time exceeds 20 minutes, the speed is maintained at 5 km / h. This speed is suitable for novice users to conduct longer-term endurance training and further improve their physical fitness.

[0093] For intermediate users, their bodies have adapted to a certain intensity of exercise and have stronger exercise capacity. The linear intensity curve is generated by the formula:

[0094] Synchronized dynamic scenes such as urban parkour videos; the warm-up phase speed is set at 5km / h, which is slightly higher than that of beginner users because intermediate users have stronger physical adaptability and can enter the exercise state faster; in the 3-10 minute endurance maintenance phase, the speed is maintained at 8km / h, which can effectively train the endurance of intermediate users; in the 10-15 minute sprint phase, the speed is increased to 10km / h, which can further increase the intensity of exercise and enhance cardiopulmonary function and muscle strength; after 15 minutes, it enters the relaxation phase and the speed is reduced to 6km / h, which helps the body smoothly transition from high-intensity exercise to a rest state and reduces muscle soreness and fatigue.

[0095] For advanced users, who have stronger athletic abilities and require more challenging training, the formula for generating a stepped intensity curve is:

[0096] Δv q is the speed increment of the qth sprint, example: +2km / h, t q is the preset time node, i.e. the start time of the sprint, m is the number of sprints, δ(tt q ) is an adjustment function to match competitive content; v0 is the initial speed, for example: v0 is 5km / h.

[0097] In the technical solution of the intelligent treadmill system, the formula Describes the rule base speed for the treadmill speed to be adjusted dynamically over time. v0 = 5 km / h is the initial speed or baseline speed of the treadmill, which is suitable for the warm-up phase or low-intensity training; Δv q Indicates that at the qth time node t q Speed ​​adjustment (unit: km / h), if Δv q >0, it is acceleration (such as sprint stage); if Δv q<0\), it is deceleration (such as relaxation stage); t q Indicates the preset time nodes, such as t1 = 3 minutes, t2 = 3 minutes, which are used to divide the training phase;

[0098] Adjustment function δ(tt q ): usually represents the unit step function, defined as: At time t q After that, the velocity increment Δv q Be activated and remain effective;

[0099] Through the above technical solution, on the one hand, a phased training plan can be set: the formula supports the definition of multi-stage training such as warm-up, sprint, and cool-down, and each stage is at a preset time point t q Trigger speed adjustment; Example: t1 = 3 min, Δv1 = +3 min (sprint); t1 = 10 min, Δv2 = -2 min (relax); the actual speed curve is:

[0100]

[0101] On the other hand, it can be personalized: users can adjust Δv q and t q Customized training plan, for example: Fat loss mode: low frequency and large speed change, such as Δv q = ±28km / h; Endurance mode: high-frequency small speed changes, such as Δv q = ±18 km / h;

[0102] At the same time, it is also real-time and safe: the formula uses a step function to achieve instantaneous speed switching, but in the actual system, it needs to be combined with the motor's response time (such as completing the speed transition within 0.5 seconds) to avoid users feeling uncomfortable due to sudden changes; if an abnormal user heart rate is detected, the system can dynamically insert a new t q Nodes, such as emergency deceleration Δv q =-38km / h.

[0103] Synchronize multimedia content with the running intensity curve: Synchronize the running intensity curve with the recommended multimedia content so that video scene switching or music rhythm changes match the running intensity stage.

[0104] The mapping relationship between music rhythm (BPM) and running speed:

[0105] recommend For example, when the user is in the maintenance stage of a beginner user and the speed is 5km / h, the recommended music rhythm is At this time, you can choose music with slow rhythm and relaxing melody to help users maintain a stable exercise state. When the user is in the sprint stage of intermediate users and the speed is 10km / h, the recommended music rhythm is It is suitable to choose music with strong rhythm and full of dynamics to stimulate users' passion for exercise;

[0106] The video scene switching frequency is set to switch the virtual scene every 5 minutes, and the scene type is selected according to user preference; for example, novice users can choose relaxing and natural scenes such as forest trails and parks in the warm-up and gradual stages to create a comfortable sports atmosphere; intermediate users can choose scenes such as city streets and beaches in the endurance maintenance stage to increase the freshness of sports; advanced users can choose challenging scenes such as competitive stadiums and mountain cross-country in the sprint stage to enhance the immersion and challenge of sports.

[0107] As an embodiment, the system further includes a real-time feedback module for:

[0108] The user's current status can be monitored in real time through the heart rate sensor; the heart rate sensor can use a photoelectric heart rate sensor, which measures heart rate by emitting light of a specific wavelength and using the blood's absorption and reflection characteristics of light. It has the advantages of non-contact, real-time measurement, and high accuracy; it can be installed on the armrest of the treadmill to ensure that the user's hands are in full contact with the sensor during running, so as to obtain heart rate data stably; wearable heart rate monitoring equipment can also be used, such as a heart rate bracelet or a chest strap heart rate monitor, among which the chest strap heart rate monitor has higher accuracy and can more accurately obtain the user's heart rate changes; the heart rate sensor is connected to the treadmill control system via Bluetooth or other wireless communication technologies, and the real-time monitored heart rate data is transmitted to the control system for analysis and processing.

[0109] If the user's heart rate is detected to be outside the target range, the treadmill speed will be automatically reduced and the multimedia content display module will be triggered to play soothing content. The multimedia content display module stores various types of multimedia resources, which are pre-classified and labeled according to different styles such as soothing and exciting. When soothing content is needed, the system will randomly select from the soothing resources or select and play according to the user's historical preferences. For example, music with a slow tempo and soft melody can be selected; or videos of tranquil natural scenery, such as a calm lake or a leisurely forest, can be displayed to help users relax and relieve tension and fatigue caused by excessive exercise intensity.

[0110] At the same time, the user interaction module prompts users to adjust their posture or breathing rate. The user interaction module can provide prompts in a variety of ways. If the user interaction module includes a display screen, it will display eye-catching text prompts on the display screen, such as "Your heart rate is too high, please adjust your posture and slow down your breathing"; if it has a voice interaction function, it will remind users through voice broadcast. The frequency of prompts will also be adjusted according to actual conditions. If the user's heart rate has not returned to the target range within a period of time (such as 30 seconds) after receiving the prompt, the user will be prompted again; if the heart rate drops within a short period of time, the interval between the next prompts will be appropriately extended to avoid frequent prompts that cause trouble to the user; in addition, in order to make users more clear about how to adjust their posture and breathing rate, simple animation demonstrations or text instructions can also be displayed on the display screen, such as showing example pictures of correct running posture, explaining how to take a deep breath, etc.

[0111] In the present invention, the real-time feedback module monitors the heart rate in real time and automatically takes measures such as reducing the speed, playing soothing content, and prompting to adjust the posture or breathing rate when the heart rate is abnormal, thereby providing real-time protection for the user's exercise safety; timely feedback and adjustment can prevent the user from suffering physical injuries due to excessively high heart rate during exercise. At the same time, the soothing content and prompts help the user relax the body and mind, adjust the exercise state, and improve the safety and comfort of exercise; a real-time safety monitoring mechanism is established during exercise, further improving the safety protection system of the smart treadmill.

[0112] As an embodiment, the personalized recommendation is further combined with external environment data, including:

[0113] Real-time weather information is obtained through the Internet connection module; the Internet connection module uses Wi-Fi or 4G / 5G communication technology to establish a stable connection with the Internet; taking Wi-Fi connection as an example, when the treadmill is used for the first time, the user can enter the Wi-Fi account and password of the home or place of use through the user interaction module to connect the treadmill to the network. After the connection is successful, the Internet connection module sends a request to the designated weather data server to obtain real-time weather information. Commonly used weather data servers include China Weather Network, OpenWeatherMap, etc. These servers provide a wealth of weather data interfaces. The treadmill system obtains information including real-time temperature, humidity, wind speed, weather conditions (sunny, rainy, cloudy, etc.) by calling the corresponding interface;

[0114] The real-time temperature and humidity are compared with the preset temperature and humidity warning values. When the real-time temperature or humidity exceeds the corresponding warning value, it is judged as high temperature or high humidity weather. The preset temperature and humidity warning values ​​can be set according to human comfort and exercise suitability. For example, considering that it is difficult for the human body to dissipate heat in hot weather and it is easy to get heatstroke during exercise, the temperature warning value is set to 32°C. A high humidity environment will affect the evaporation of human sweat and cause physical discomfort, so the humidity warning value is set to 80% (relative humidity). When the real-time temperature exceeds 32°C or the humidity exceeds 80%, it is judged as high temperature or high humidity weather. In actual application, users can also customize the warning value through the user interaction module according to their own sensitivity to temperature and humidity. For example, for users with poor heat tolerance, the temperature warning value can be lowered to 30°C.

[0115] In hot or humid weather, indoor virtual scenes and low-intensity training plans are recommended. The smart treadmill system has a variety of built-in virtual scene resources, categorized and stored according to different environmental characteristics, such as indoor scenes, seaside scenes, and forest scenes. When the weather is judged to be hot or humid, it prioritizes indoor scene resources for recommendation, such as modern gym scenes and cozy indoor running tracks, to prevent users from experiencing the discomfort caused by high temperature and high humidity in the virtual scenes. For training plans, the system pre-sets a variety of low-intensity training plan templates based on different training levels and user goals. These templates optimize parameters such as speed, incline, and training duration to reduce exercise intensity. For example, for novice users, the original continuous steady-speed running training plan is adjusted to interval jogging to increase the rest time; for intermediate users, the running speed is appropriately reduced and the duration of the sprint phase is shortened; based on the user's training level and historical exercise data, a matching low-intensity training plan is automatically selected and presented to the user through the multimedia content display module; users can choose to accept the recommended training plan according to their own situation, or, based on the recommendation, fine-tune some parameters of the training plan through the user interaction module, such as adjusting the training duration, changing the speed adjustment range, etc., to meet personalized needs.

[0116] In the present invention, personalized recommendations are made in combination with external environmental data, so that the recommended content is more in line with the actual situation and the user experience is improved; real-time weather information is obtained and the weather conditions are judged according to temperature and humidity, and indoor virtual scene images and low-intensity training plans are recommended in high temperature or high humidity weather, so as to avoid users from performing inappropriate exercise in bad weather conditions, thereby ensuring the user's physical health and providing users with more intimate and personalized services; by incorporating external environmental factors into the personalized recommendation system, the application scenarios and service scope of the smart treadmill are broadened.

[0117] As an embodiment, the user information storage and analysis module communicates data with a third-party health management platform to:

[0118] Import user's sleep quality data;

[0119] The sleep quality data is comprehensively analyzed to determine whether there is insufficient sleep. If there is insufficient sleep, the training intensity of the day is automatically reduced; otherwise, the training intensity of the day is maintained.

[0120] In this invention, through the data exchange between the user information storage and analysis module and the third-party health management platform, more comprehensive user health data, such as sleep quality data, can be obtained. When sleep is insufficient, the training intensity of the day is automatically reduced. This fully considers the user's overall health status, avoids damage to the body due to excessive training, and realizes a more scientific and reasonable training arrangement, which helps to improve the user's health level.

[0121] The system has a built-in sleep quality assessment model that comprehensively evaluates the user's sleep quality based on imported data such as sleep duration, sleep stage distribution, and number of sleep interruptions. For example, if sleep duration is less than 6 hours and the proportion of deep sleep is less than 20%, it is considered insufficient sleep; if sleep duration is between 6-8 hours, the distribution of sleep stages is reasonable, and the number of sleep interruptions is low, it is considered good sleep quality.

[0122] If the assessment result is insufficient sleep, the system will automatically reduce the training intensity for that day. The specific adjustment method is as follows:

[0123] Speed ​​adjustment: Lower your target running speed. For example, if your average running speed is 8 km / h and you are sleep deprived, lower your target speed to 6 km / h.

[0124] Duration adjustment: Shorten the duration of exercise. For example, if you originally planned to exercise for 60 minutes, the adjusted duration can be reduced to 30-40 minutes.

[0125] Incline Adjustment: Reduce the incline of the treadmill. If you originally planned to set a 5% incline for part of the time, after adjustment, reduce the incline to 2% or cancel the incline setting.

[0126] A multimedia interactive method based on the Internet, comprising the following steps:

[0127] S1. The treadmill is connected to the Internet via an Internet connection module to establish a data communication link;

[0128] S2. The user inputs a multimedia content selection instruction through the user interaction module;

[0129] S3. The Internet connection module sends the user's selection instruction to the corresponding server on the Internet;

[0130] S4. The server selects corresponding multimedia content according to the user instruction and transmits the multimedia content to the multimedia content display module of the treadmill via the Internet for display;

[0131] S5. During the running process, the user adjusts the running parameters of the treadmill through the user interaction module and chooses whether to switch multimedia content.

[0132] It should be noted that the calculation formulas and various parameters involved in the calculations in the present invention have been dimensionally processed in advance, and the process of dimensionless processing is well known in the industry and will not be described here.

[0133] The above is a detailed description of an embodiment of the present invention. However, the content described is only a preferred embodiment of the present invention and should not be considered to limit the scope of the present invention. All equivalent changes and improvements made within the scope of the present invention should still fall within the scope of the patent coverage of the present invention.

Claims

1. An intelligent treadmill system, characterized in that: include: The treadmill body includes a frame for support, a running belt and a speed control device; An Internet connection module, integrated into the treadmill body, is used to connect to the Internet via wireless communication and realize two-way data transmission; A multimedia content display module, connected to the Internet connection module and the control system of the treadmill body, is used to obtain and display multimedia content from the Internet based on instructions input by the user through the user interaction module. The multimedia content includes music, videos, and virtual scene images. The multimedia content display module is a touch screen embedded in the operation panel area; A user interaction module is provided on the treadmill body and includes physical buttons, a touch screen or a voice input device for inputting multimedia content selection instructions and adjusting treadmill operating parameters; User information storage and analysis module, used to store user's running data and multimedia content preference information; Based on historical data analysis, it generates personalized multimedia content recommendations and running training plans.

2. The intelligent treadmill system according to claim 1, characterized in that: The historical running data includes running time, speed, heart rate and calories burned; Analyzing the user's historical running data through a machine learning model to extract characteristics of the user's running habits, including the user's stable heart rate range, the correlation between running speed and multimedia content type, and fatigue threshold; Generate personalized recommendation strategies based on analysis results, including: Match the rhythm of multimedia content based on the current running phase; When a user is detected approaching a fatigue threshold, a motivational video is pushed or the intensity of the training plan is adjusted; An adaptive running intensity curve is generated in combination with the user's goals, and the speed is automatically adjusted through the control system of the treadmill body.

3. The intelligent treadmill system according to claim 2, characterized in that: The machine learning model is a time series neural network. The input data includes the time series data of the user's N consecutive runs. The output is: The type labels of multimedia content recommended in the next stage; Target speed adjustment amplitude Δv and duration Δt.

4. The intelligent treadmill system according to claim 3, characterized in that: The adjustment process of the running speed is as follows: Based on the user's historical maximum heart rate HR max Calculate the target interval: Target heart rate range = [A × HR max ,B×HR max ], A and B are preset coefficients; If the user's real-time heart rate continues to exceed the target range, the speed will be reduced according to the following formula: v new =v c -k(HR c -B×HR max ); Where k is the attenuation coefficient, HR c is the real-time monitored heart rate value, v c is the real-time running speed value, v new is the reduced running speed value.

5. The intelligent treadmill system according to claim 2, characterized in that: The generation of the running training plan includes the following steps: Based on the average and peak values ​​of the user's historical running data, the training levels are divided into beginner, intermediate and advanced levels. Specifically: By formula Calculate the comprehensive score S and compare it with the preset score range. If it exceeds the score range, it is high, if it is below the score range, it is low, and if it falls within the score range, it is medium. Where n is the number of user running parameters, ω i is the weight coefficient of the i-th running parameter, α i is the preset proportional coefficient of the i-th running parameter, ω i , α i The value range is [0, 1], is the average value of each running parameter, E imax is the peak value of each running parameter; Matching a preset running intensity curve according to the training level, the curve including a warm-up phase, a target speed maintenance phase, and a cool-down phase; The running intensity curve is synchronized with the recommended multimedia content so that the video scene switching or the music rhythm change matches the running intensity stage.

6. The intelligent treadmill system according to any one of claims 1 to 5, characterized in that: The system also includes a real-time feedback module for: Monitor the user's current status in real time through the heart rate sensor; If the user's heart rate is detected to be outside the target range, the treadmill speed will be automatically reduced and the multimedia content display module will be triggered to play soothing content; At the same time, the user interaction module prompts you to adjust your posture or breathing rate.

7. The intelligent treadmill system according to claim 1, characterized in that: The personalized recommendations are also combined with external environmental data, including: Get real-time weather information through the Internet connection module; Compare the real-time temperature and humidity with the preset temperature and humidity warning values. When the real-time temperature or humidity exceeds the corresponding warning value, it is judged as high temperature or high humidity weather. In hot or humid weather, indoor virtual scene images and low-intensity training plans are recommended.

8. The intelligent treadmill system according to claim 1, characterized in that: The user information storage and analysis module communicates with the third-party health management platform for data: Import user's sleep quality data; The sleep quality data is comprehensively analyzed to determine whether there is insufficient sleep. If there is insufficient sleep, the training intensity of the day is automatically reduced; otherwise, the training intensity of the day is maintained.

9. An Internet-based multimedia interactive method, applied to the intelligent treadmill system according to claim 1, characterized in that: The following steps are involved: S1. The treadmill is connected to the Internet via an Internet connection module to establish a data communication link; S2. The user inputs a multimedia content selection instruction through the user interaction module; S3. The Internet connection module sends the user's selection instruction to the corresponding server on the Internet; S4. The server selects corresponding multimedia content according to the user instruction and transmits the multimedia content to the multimedia content display module of the treadmill via the Internet for display; S5. During the running process, the user adjusts the running parameters of the treadmill through the user interaction module and chooses whether to switch multimedia content.

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