Non-face-to-face exercise coaching system

Abstract

The present invention relates to a non-face-to-face exercise coaching system that optimizes a user's exercise experience and maximizes exercise effects. More specifically, the invention relates to a non-face-to-face exercise coaching system that provides a user-customized exercise experience by utilizing an integrated system based on visual feedback, immersive technology, and data analysis, and supports exercise motion analysis and real-time exercise motion correction by integrating visual feedback, VR or AR technology, high-precision sensors, and data analysis. To realize the objective of the present invention, a non-face-to-face exercise coaching system comprises an input unit that receives data from the outside into the system, an output unit that outputs result data to the outside, a communication unit that transmits and receives data between the inside and outside of the system, a storage unit that stores data generated by the system, a control unit that controls the operation of the system, and a memory unit that stores data resulting from the execution of various programs. The memory unit comprises a visual transmission device unit that provides visual information regarding an exercise program to a user, an exercise data measurement unit that collects and stores the user's exercise data in real time, a data analysis unit that analyzes the exercise data and provides feedback, an exercise content provision unit that provides content related to the exercise program to a user, and a user interface unit through which the user directly interacts with the system.

Description

Technology Field

[0001] The present invention relates to a non-face-to-face exercise coaching system that optimizes a user's exercise experience and maximizes exercise effects. More specifically, the invention relates to a non-face-to-face exercise coaching system that provides a user-customized exercise experience by utilizing an integrated system based on visual feedback, immersive technology, and data analysis, and supports exercise motion analysis and real-time exercise motion correction by integrating visual feedback, VR (Virtual Reality) or AR ( Augmented Reality) technology, high-precision sensors, and data analysis. Background Technology

[0002] A non-face-to-face exercise coaching system is a technology that collects and analyzes a user's exercise data in real time to provide effective workout plans and feedback, without the need for the user and trainer to meet in person. Such systems aim to maximize the accuracy, safety, and efficiency of exercise movements by utilizing digital devices, sensors, AR or VR technologies, and AI-based analysis algorithms. In particular, they optimize the user experience by integrating elements such as diverse display environments, immersive AR or VR environments, and the provision of personalized feedback.

[0003] However, previously, direct instruction methods from fitness centers or trainers were primarily utilized, and even in the case of remote exercise coaching, most were limited to forms based on video calls or recorded exercise videos. Furthermore, since wearable devices or mobile apps were limited to recording exercise data and providing it merely as statistics, there were limitations in providing personalized feedback, such as real-time analysis or posture correction. In addition, these existing technologies had the disadvantage of being difficult to provide users with accurate exercise movements and feedback, and the risk of injury could increase due to movement errors when performed without interaction with a trainer.

[0004] Therefore, in modern society where interest in health is rising and remote work and non-face-to-face activities have become commonplace, there is an urgent need to develop non-face-to-face exercise coaching system technology that is precise and capable of responding in real-time while aligning with the environmental changes of modern society. Prior art literature

[0005] Korean Published Patent Application No. 10-2024-0059030 The problem to be solved

[0006] Accordingly, the technical problem of the present invention is conceived from this point, and the objective of the present invention is to provide a non-face-to-face exercise coaching system that corrects exercise posture in real time and provides visual or voice feedback by utilizing real-time motion analysis and AR or VR technology.

[0007] In addition, it provides a non-face-to-face exercise coaching system that analyzes users' biometric data and goals through AI-based algorithms and automatically generates and adjusts personalized exercise programs.

[0008] In addition, it provides a non-face-to-face exercise coaching system that creates an immersive exercise environment through AR or VR devices to provide exercise movement simulations and virtual guidelines in real time.

[0009] In addition, it provides a non-face-to-face exercise coaching system that collects real-time exercise data through wearable sensors and a monitoring system, detects danger signals, and provides immediate warnings.

[0010] In addition, it provides a non-face-to-face exercise coaching system that allows users to receive remote exercise coaching at their desired time and location through a cloud-based platform and multi-device compatibility.

[0011] In addition, it provides a non-face-to-face exercise coaching system that records and analyzes exercise data over the long term to visualize user performance and suggest directions for improvement.

[0012] In addition, it provides a non-face-to-face exercise coaching system that offers users a sense of accomplishment and encourages goal achievement through game elements and a real-time feedback system.

[0013] In addition, it provides a non-face-to-face exercise coaching system that supports various exercise scenarios by simultaneously offering group exercise programs and personalized feedback.

[0014] In addition, it provides a non-face-to-face exercise coaching system that allows users to systematically carry out exercise plans by subdividing exercise sessions and setting and managing goals.

[0015] In addition, it provides a non-face-to-face exercise coaching system that offers an intuitive interface customizable by the user, allowing for easy verification of necessary data and personalization of the exercise environment. means of solving the problem

[0016] To realize the objective of the present invention, a non-face-to-face exercise coaching system is provided, comprising: an input unit that receives data from the outside into the system; an output unit that outputs result data to the outside; a communication unit that transmits and receives data between the inside and outside of the system; a storage unit that stores data generated by the system; a control unit that controls the operation of the system; and a memory unit that executes various programs and stores data accordingly. The memory unit comprises: a visual transmission device unit that provides visual information regarding an exercise program to a user; an exercise data measurement unit that collects and stores the user's exercise data in real time; a data analysis unit that analyzes the exercise data and provides feedback; an exercise content provision unit that provides content related to the exercise program to the user; and a user interface unit through which the user directly interacts with the system. Effects of the invention

[0017] According to the present invention, according to embodiments of the present invention, the user's exercise movements can be corrected through real-time data analysis and AR or VR technology to prevent injury and maximize exercise efficiency.

[0018] In addition, through AI-based analysis, personalized exercise programs that reflect the user's fitness level, exercise goals, and biometric data can be provided.

[0019] In addition, by providing an immersive exercise environment utilizing AR or VR technology, users can focus on their workouts and maintain consistency.

[0020] In addition, it can monitor the user's exercise data in real time and detect abnormal signals to warn of and prevent potential injuries in advance.

[0021] In addition, it provides remote exercise program coaching, enabling users to effectively perform exercises at their desired time and place.

[0022] In addition, by recording and analyzing exercise data over the long term, users can identify their performance and clearly understand directions for improvement.

[0023] In addition, game elements and real-time feedback can encourage users to feel a sense of accomplishment and consistently achieve their exercise goals.

[0024] In addition, it can support various exercise scenarios by providing users with a group exercise environment and personalized feedback.

[0025] In addition, by subdividing exercise sessions and setting goals, users can systematically establish exercise plans and perform exercises according to the established plans.

[0026] In addition, it can provide an intuitive and personalized interface, enabling users to easily understand the information they need. Brief explanation of the drawing

[0027] FIG. 1 is a block diagram of a non-face-to-face exercise coaching system according to one embodiment of the present invention. FIG. 2 is a drawing showing a display device of a non-face-to-face exercise coaching system according to one embodiment of the present invention. FIG. 3 is a diagram showing that a display device of a non-face-to-face exercise coaching system according to one embodiment of the present invention optimizes the aspect ratio of the screen to suit various display environments. FIG. 4 is a diagram showing exercise information provided in a manner preferred by the user in a display according to an embodiment of the present invention. FIG. 5 is a diagram showing that exercise video is continuously provided in real-time by linking display devices according to an embodiment of the present invention. FIG. 6 is a drawing showing virtual guidelines displayed and provided on an exercise motion according to one embodiment of the present invention. FIG. 7 is a diagram showing the collection of body or environment data using various sensors according to an embodiment of the present invention. FIG. 8 is a diagram showing a warning displayed on a screen when a user's heart rate exceeds a target range according to one embodiment of the present invention. FIG. 9 is a diagram showing the automatic identification of the type of exercise being performed by analyzing user motion data according to an embodiment of the present invention. FIG. 10 is a diagram showing the analysis of a user's exercise data through AI according to an embodiment of the present invention. FIG. 11 is a diagram showing that a badge or reward is provided when a user achieves a goal by introducing game elements according to one embodiment of the present invention. FIG. 12 is a drawing showing an exercise program provided in stages according to an embodiment of the present invention. FIG. 13 is a drawing showing visual materials, exercise programs, learning materials, etc. provided by an exercise content providing unit according to an embodiment of the present invention. FIG. 14 is a drawing showing a plurality of users exercising simultaneously through a group exercise environment according to one embodiment of the present invention. FIG. 15 is a diagram showing the process of communicating and collaborating among users by utilizing social networking functions according to an embodiment of the present invention. FIG. 16 is a diagram showing the process of a user performing an exercise using a virtual trainer according to one embodiment of the present invention. FIG. 17 is a diagram showing a user checking exercise data through an interface according to an embodiment of the present invention. FIG. 18 is a diagram showing the operation of a track-based exercise management system according to one embodiment of the present invention. Specific details for implementing the invention

[0028] Hereinafter, preferred embodiments of the present invention will be described in more detail with reference to the drawings.

[0029] The present invention is capable of various modifications and may take various forms, and specific embodiments are illustrated in the drawings and described in detail in the text. However, this is not intended to limit the invention to the specific disclosed forms, and it should be understood that the invention includes all modifications, equivalents, and substitutions that fall within the spirit and scope of the invention.

[0030] FIG. 1 is a block diagram of a non-face-to-face exercise coaching system according to one embodiment of the present invention.

[0031] Referring to FIG. 1, the medication guidance system (100) is composed of an input unit (110), an output unit (120), a communication unit (130), a storage unit (140), a control unit (150), and a memory unit (160). The input unit (110) inputs data into the system, the output unit (120) outputs data from the system to the outside, the communication unit (130) communicates data inside and outside the system, the storage unit (140) stores data generated by the system, the control unit (150) controls all operations of the system, and the memory unit (160) stores data related to the execution of various programs and the accompanying data.

[0032] Additionally, the memory unit (160) includes a visual transmission device unit (170), an exercise data measurement unit (180), a data analysis unit (190), an exercise content provision unit (200), and a user interface unit (210). The visual transmission device unit (170) provides visual information regarding the exercise program to the user, the exercise data measurement unit (180) collects and stores the user's exercise data in real time, the data analysis unit (190) analyzes the exercise data and provides feedback, the exercise content provision unit (200) provides content related to the exercise program to the user, and the user interface unit (210) enables the user and the system to interact directly.

[0033] FIG. 2 is a drawing showing a display device of a non-face-to-face exercise coaching system according to an embodiment of the present invention; FIG. 3 is a drawing showing that the display device of a non-face-to-face exercise coaching system according to an embodiment of the present invention optimizes the aspect ratio of the screen to suit various display environments; FIG. 4 is a drawing showing that exercise information is provided in a manner preferred by the user on a display according to an embodiment of the present invention; FIG. 5 is a drawing showing that exercise videos are continuously provided in real-time by linking display devices according to an embodiment of the present invention; and FIG. 6 is a drawing showing that virtual guidelines are displayed and provided on an exercise movement according to an embodiment of the present invention.

[0034] Referring to FIGS. 2, FIGS. 3, FIGS. 4, FIGS. 5 and FIGS. 6, the visual transmission device unit (170) is a component that provides visual information to the user in an exercise program. The visual transmission device unit (170) performs functions such as demonstrating exercise movements, visualizing real-time data, and delivering user feedback, and is responsible for intuitive information transmission between the user and the system. Through this, the user can clearly understand the exercise movements, check real-time data, and receive feedback on inaccurate movements.

[0035] The visual transmission device unit (170) consists of a display device, a VR or AR device, and a stage. The display device is a central component of the visual transmission device unit (170) and visualizes and delivers exercise programs, users, or various data related to exercise to the user. Large screens or projectors provide exercise content in a fixed environment, while portable devices such as mobile phones or tablets provide exercise content in an environment with high mobility and accessibility. The display is designed with high resolution (Full HD or higher) to clearly express details of exercise movements, allowing the user to accurately observe detailed movements through the screen.

[0036] VR or AR devices provide immersive exercise experiences. VR headsets display exercise movements in three dimensions from a 360-degree perspective, making it easier for users to understand the movements. AR devices enable real-time correction by overlaying virtual guidelines or movement instructions onto the user's actual environment. For example, they provide visual guidelines for knee angles or waist posture when a user performs a squat.

[0037] The stage is a physical space designed to allow a user to perform exercises by being connected to or separated from the visual transmission device (170). The stage provides an environment where the user can clearly observe exercise motion demonstrations and real-time data provided through the visual transmission device (170). The size and shape of the stage can be adjusted to suit various user environments; for example, a small-scale space may be provided for home use, while a large-scale space may be provided for use by multiple users in gyms or group exercise environments. For example, a home stage may consist of a foldable mat and an integrated display stand, while a gym stage may consist of a large floor space combined with a display device. The stage may integrate high-precision sensors and cameras to enhance the accuracy of the user's exercise movements. These devices track the user's movements in real time and analyze joint angles or body posture to provide feedback to the visual transmission device (170). Additionally, the stage is combined with VR or AR technology to support an immersive exercise experience. When the user is positioned on the stage, virtual guidelines or instructions are displayed in real time over the exercise movements via an AR device, and in a VR environment, the user can experience the exercise from a 360-degree perspective. The stage is designed with safety and durability in mind and performs the role of transmitting data to the exercise data measurement unit (180) to continuously monitor the user's exercise status. The data is linked with the visual transmission device unit (170) to analyze and visualize the data in real time, and is provided as feedback on the user's exercise performance and areas for improvement.

[0038] The feedback display function of the visual transmission device (170) analyzes the user's exercise motion data in real time and provides immediate correction information. If the movement is inaccurate or the target intensity is exceeded, a warning message appears on the screen or a voice notification is given. For example, instructions such as "straighten your back more" or "exercise intensity is too high" are provided. This system helps the user prevent injury and exercise efficiently.

[0039] The image ratio adjustment function of the visual transmission device (170) optimizes the vertical and horizontal ratios of the screen to suit various display environments. On large screens, a wide ratio (16:9) is used to expand the content, and on mobile devices, a vertical ratio (9:16) is applied to increase concentration. The above function enables the user to enjoy an optimized visual experience in any environment.

[0040] The visual transmission device (170) includes a function for visually transmitting real-time exercise data. The visual transmission device (170) provides a step-by-step demonstration of exercise movements according to the exercise program. For example, details of the movements, such as the position of the arms, the angle of the knees, and the movement of the upper body, are displayed on a high-definition screen. These demonstrations are clearly designed so that even beginners can easily follow along. The visual transmission device (170) visualizes real-time exercise data on the screen in conjunction with a wearable device. The displayed data includes heart rate, calorie consumption, exercise intensity, and exercise progress, allowing the user to immediately understand their current status. The information may be provided in the form of graphs, numerical values, or progress bars. The visual transmission device (170) displays the exercise goals set by the user on the screen and shows the process of achieving them in real time. For example, when the daily calorie consumption goal is achieved, a congratulatory message is displayed on the screen. This function enhances the user's motivation and provides a sense of accomplishment.

[0041] The visual transmission device (170) enhances immersion by providing a background suitable for the exercise program through a screen or a VR or AR environment. For example, a natural landscape background is used in a yoga session, and vibrant graphics are used in a HIIT (High-Intensity Interval Training) session. This improves the focus of the exercise and enhances the user's exercise experience.

[0042] The visual transmission device (170) analyzes the user's exercise movements in real time to correct incorrect postures. Based on data collected from cameras or sensors, it compares the user's movements with the target movements and highlights areas that are lacking. Additionally, it provides feedback in the form of text, graphics, or voice guidance, and the user corrects their movements based on this feedback. More specifically, the visual transmission device (170) uses high-precision sensors and cameras during the motion analysis process to capture the user's movements in detail. For example, it collects data such as joint angles, body balance, and movement speed to evaluate the accuracy of the exercise movements. This data is compared with a predefined ideal movement model, and if a difference is detected, it generates corrective feedback. Furthermore, the feedback is designed to be user-friendly and is delivered in the form of text, graphics, or voice guidance. Text feedback is displayed as simple sentences on the screen, while graphic feedback is provided by overlaying the user's current movements with the ideal movements for visual comparison. Voice feedback delivers correction instructions to the user in real time during the movement, helping them focus on the movements without needing to fix their gaze on the screen. Through this, an optimized exercise experience is provided to the user. Users view movement demonstrations on the screen according to their personal exercise program, check their real-time data, and correct their movements through feedback. Consequently, by analyzing the user's movement data in real time through the aforementioned feedback method to address shortcomings and providing customized feedback, the accuracy and efficiency of the user's exercise performance can be enhanced.

[0043] The visual transmission device (170) also provides a user customization function. The user customization function is designed to allow the user to adjust the content style, data display method, and screen ratio in the exercise program according to their preferences. This function provides an optimized exercise environment by reflecting the individual user's needs and helps the user enjoy an experience tailored to their exercise goals and environment. Through this, the user can increase the immersion and efficiency of the exercise, and perform the exercise while understanding the data in a way that is suitable for them. The visual transmission device (170) provides a content style adjustment function, allowing the user to personalize the demonstration of exercise movements and the graphic elements of the background. The user can select a suitable content style according to the type and purpose of the exercise. For example, for low-intensity exercises such as yoga, soft and calm natural landscapes or simple backgrounds can be used, while for high-intensity interval training (HIIT), dynamic and energetic colors and animations can be utilized. The style adjustment function provides a visually suitable exercise environment to the user, increasing the immersion in the exercise, giving the user a sense of psychological stability, and strengthening the user's motivation for exercise.

[0044] The visual transmission device (170) provides a data display method adjustment function, allowing the user to view real-time data such as heart rate, calorie consumption, exercise intensity, and exercise progress in a format preferred by the user. The data may be displayed as precise numerical data or visualized as a linear graph showing changes over time. Additionally, key information may be summarized and provided in the form of intuitive icons. Through the above function, the user can view the data in a format most suitable for their information processing style and, based on this, adjust their exercise intensity or exercise routine in real time.

[0045] The visual transmission device unit (170) also provides a device-to-device linkage function. Beyond simply acting as a display that outputs visual information, the visual transmission device unit (170) enables the user to experience exercise content without interruption even when changing locations or devices through a linkage function between various devices. When a user is exercising while watching an exercise video on a large screen and switches to a portable device such as a smartphone or tablet PC while moving, the video playback is not interrupted and continues from the same point in time. For example, if a user starts exercising on a large screen in the living room and then moves to a personal room and connects to a smartphone, the current playback position information (timecode) of the exercise video is automatically transmitted to the smartphone, allowing playback to continue uninterrupted from the same point in time. This switching process is achieved through cloud-based data management and high-speed network connections (Wi-Fi 6, 5G, etc.), minimizing latency and enabling smooth switching without buffering.

[0046] The visual transmission device (170) provides a group exercise environment. The group exercise environment is designed and provided to allow multiple users to follow the same exercise program in real time using a large display. This environment promotes motivation and collaboration among participants in a group exercise session and supports each user in monitoring their exercise status individually. The large display maximizes the efficiency of the group exercise by providing exercise movement demonstrations and real-time data displays on a single screen in an integrated manner. The large display is a high-resolution screen suitable for group exercise, allowing all participants to clearly see the same exercise content. The exercise program demonstrates movements step by step, and the details and timing of the movements are clearly displayed to encourage all users to perform the same exercise simultaneously. As a result, the flow of exercise among participants in the group exercise session is aligned, creating a synchronized exercise environment. Additionally, the visual transmission device (170) displays the user's individual exercise data as an overlay on the screen, allowing each user to check their exercise status in real time. For example, the user's heart rate, calorie consumption, or exercise intensity is displayed on the large display, and the data is distinguished by icons or names that can identify each user. Through this, users can compare their status with others or adjust their exercise intensity. This real-time data overlay feature provides personalized feedback even in group settings, helping users focus on achieving their exercise goals.

[0047] The visual transmission device (170) provides an AR (Augmented Reality) environment, which allows the user to maintain an accurate posture by displaying guidelines over the movements through AR glasses worn by the user. The AR environment utilizes AR glasses worn by the user to display virtual guidelines over the exercise movements in real time. The environment focuses on helping the user maintain an accurate posture during exercise and enables immediate correction and feedback of the movements. The user can perceive both the physical environment and digital information simultaneously through the AR glasses, thereby enhancing both immersion and accuracy. Additionally, the AR glasses analyze the user's exercise movement data in real time and generate guidelines by comparing it to the ideal movements. For example, when performing a squat, the ideal movement path of the knees or the appropriate angle of the waist is displayed superimposed on the screen. The user can refer to these guidelines to maintain the accuracy of the movements and reduce the risk of injury. The guidelines are visually intuitive and are provided to the user in real time. Generally, simple graphics such as linear displays, arrows, or color changes are used to highlight the correct range of motion. For example, a green indicator appears if the action is correct, and a red warning is displayed if it is incorrect. This visual feedback allows the user to correct the action immediately.

[0048] AR environments can provide personalized feedback to users. By recording and analyzing users' exercise data, AR environments learn recurring posture errors and provide personalized correction guidelines. For example, if a user repeatedly lacks proper arm angle, the environment highlights that specific area to guide them toward correct movement. This process can be achieved more precisely and effectively through integration with AI (Artificial Intelligence).

[0049] FIG. 7 is a diagram showing the collection of body or environment data using various sensors according to an embodiment of the present invention, FIG. 8 is a diagram showing a warning being displayed on a screen when a user's heart rate exceeds a target range according to an embodiment of the present invention, and FIG. 9 is a diagram showing the automatic identification of the type of exercise being performed by analyzing user motion data according to an embodiment of the present invention.

[0050] Referring to FIGS. 7, 8, and 9, the exercise data measurement unit (180) collects and stores the user's exercise data in real time, evaluates the effectiveness of the exercise based on this data, and adjusts the intensity of the exercise to ensure the efficiency and safety of the exercise. The exercise data measurement unit (180) collects and integrates data from various measurement devices, such as wearable devices, heart rate sensors, motion sensors, and environmental sensors, to quickly provide reliable data. Through this data, the user can clearly understand their exercise status and maintain an exercise intensity suitable for their goals, thereby reducing the risk of injury.

[0051] The main role of the exercise data measurement unit (180) is to measure various physiological and physical data generated during exercise in real time. The heart rate measuring device detects the user's heart rate through an optical sensor or an electric sensor and evaluates the exercise intensity based on this. The motion sensor uses an accelerometer and a gyroscope to analyze the user's movement trajectory in 3D and evaluates the accuracy of the motion. For example, when the user performs a squat, the knee angle and waist posture are detected in real time and compared with the ideal motion.

[0052] Environmental sensors collect data on the user's surrounding environment while exercising to provide exercise conditions suitable for the environment. Based on data such as temperature, humidity, and air quality, they provide warnings to prevent exposure to excessive environmental stress or support the adjustment of exercise intensity. This data plays a crucial role in ensuring user safety, particularly when exercising outdoors or in high-temperature environments.

[0053] The exercise data measurement unit (180) analyzes the collected exercise data of the user and provides exercise data that can evaluate the user's exercise performance. For example, it analyzes and provides heart rate and calorie consumption data on a weekly or monthly basis to identify changes in the user's physical condition and can suggest new exercise goals based on this. This data provides personalized feedback through integration with an exercise program and enables the establishment of an exercise plan optimized for the user by linking with an AI-based exercise recommendation system.

[0054] The exercise data measurement unit (180) provides real-time data to the user in conjunction with the feedback provision function of the visual transmission device unit (170) and assists in corrective actions that need to be made during exercise. For example, if the user's heart rate exceeds the target range, it displays a warning on the screen or provides a voice instruction to lower the exercise intensity, thereby enabling the user to perform exercise safely. In addition, the exercise data measurement unit (180) can collect and analyze not only existing exercise data but also the user's biometric data, psychological state data, surrounding environment data, and personal goal data to provide feedback to the user.

[0055] The exercise data measurement unit (180) measures biometric data, including heart rate, blood oxygen saturation, and muscle fatigue, in real time to analyze the user's exercise status in detail. For example, by measuring blood oxygen saturation along with heart rate data, the user's aerobic exercise status is analyzed more precisely. In addition, by detecting muscle vibration and fatigue through a sensor, it can prevent injury by warning of the risk of injury caused by overuse of specific parts. More specifically, the user's biometric data is collected through an optical sensor (PPG, Photoplethysmography) or an electric sensor (ECG, Electrocardiography), and the user's exercise intensity and cardiopulmonary function status are analyzed. For example, if the user exceeds or falls short of the heart rate range set by the user, an immediate notification is provided to guide the adjustment of exercise intensity. In addition, the exercise effect and physical recovery ability are analyzed by evaluating oxygen consumption and the body's oxygen delivery status during aerobic exercise. Furthermore, by detecting muscle vibration data and contraction response, the risk of injury due to excessive fatigue is reduced and the necessary rest time is suggested. In addition, it monitors changes in body temperature and the amount of sweat produced during exercise to detect the user's dehydration status and recommend appropriate fluid intake. This feature can be particularly useful during high-intensity or prolonged workouts.

[0056] The exercise data measurement unit (180) analyzes the user's exercise data to automatically identify the type of exercise being performed. Through this, data is automatically recorded and analyzed without the user needing to manually select the type of exercise. For example, it analyzes the user's movement trajectory, speed, and posture data to identify exercise types such as walking, running, or squatting in real time, and detects the transition of exercise types to separate and record the data. More specifically, it comprehensively analyzes the periodic pattern of movement, distance traveled, and angle of joint movement to identify exercise types such as walking, running, and squatting in real time. If the user stops running and performs a squat, it accurately detects the point of transition of the exercise motion and separates and records the two types of exercise. This prevents data confusion between different exercise types and enables accurate analysis of each exercise type. In addition, sensors such as an accelerometer, gyroscope, and inertial measurement unit (IMU) are utilized to increase the accuracy of motion analysis. The sensors detect detailed data such as the user's movement speed, changes in direction, and rotation angles in real time, and determine the type of exercise based on this. For example, if a pattern of periodic foot placement is detected while the user is moving at a fast speed, it is identified as running, and if the knee angle changes repeatedly while in a static state, it is identified as a squat.

[0057] The exercise data measurement unit (180) utilizes an exercise transition detection function to accurately distinguish and record the end of the previous movement and the start of the new movement when the user changes the type of exercise. This is useful when the user regularly performs complex exercises. For example, in a high-intensity interval training (HIIT) program, several types of exercises are performed sequentially over a short period of time, and the exercise transition detection function separates and stores each exercise data individually to provide accurate analysis and feedback.

[0058] The exercise data measurement unit (180) utilizes a psychological state monitoring function to measure heart rate variability (HRV) data and analyzes the user's stress level and psychological response based on this. The analysis evaluates the user's mental fatigue during high-intensity exercise and provides feedback by recommending lowering the exercise intensity or resting as needed. Along with this, it enables the user to increase exercise persistence and provide a positive experience through motivational messages.

[0059] The exercise data measurement unit (180) utilizes an external environment data linkage function to monitor the surrounding environment where the user is located in real time during exercise, thereby creating an exercise environment suitable for the user. It records outdoor exercise routes and altitude changes based on GPS data, and links with weather data to adjust intensity or recommend water intake in hot and humid environments. Through this, the user can minimize negative effects caused by the exercise environment.

[0060] The exercise data measurement unit (180) utilizes personalized goal and achievement functions to adjust the exercise goals set by the user in real time and visually displays the level of achievement. For example, if the user has not reached the calorie burn goal, the exercise intensity and time are adjusted to realistically modify the goal. Additionally, game elements are introduced to motivate the user to exercise by providing badges or rewards when the user achieves the goal.

[0061] FIG. 10 is a diagram showing the analysis of a user's exercise data through AI according to an embodiment of the present invention, and FIG. 11 is a diagram showing the introduction of game elements according to an embodiment of the present invention to provide a badge or reward when the user achieves a goal.

[0062] Referring to FIGS. 10 and 11, the data analysis unit (190) performs the role of analyzing exercise data and providing feedback. The data analysis unit (190) controls the data flow between the user and the system and analyzes real-time data to provide customized feedback and exercise plans to the user based on the analysis.

[0063] The data analysis unit (190) collects data from various sensors and wearable devices in real time and analyzes it in an integrated manner. It collects data such as heart rate, calorie consumption, exercise time, and motion trajectory, and changes the data into an analyzable form through a preprocessing process that refines duplicate or erroneous data.

[0064] More specifically, the data analysis unit (190) monitors and analyzes data collected from wearable devices or various sensors in real time. The heart rate is detected via an optical sensor (PPG) or an electric sensor (ECG) and is used to evaluate the user's exercise intensity. The calorie consumption is calculated by comprehensively analyzing the user's weight, age, type of exercise, and exercise time, which are detected or provided by various sensors. The motion trajectory is collected using high-precision sensors such as accelerometers and gyroscopes, thereby analyzing the user's exercise posture and range of motion in detail.

[0065] The data analysis unit (190) integrates and analyzes data collected from various data input sources. For example, it integrates and analyzes heart rate data and motion trajectory data to simultaneously analyze exercise intensity and exercise accuracy. This integrated analysis allows individual data to be interconnected rather than simply collected and stored, thereby providing a deeper analysis. Through this, the user can comprehensively understand their exercise status and establish an efficient and scientific exercise strategy.

[0066] The data analysis unit (190) also provides motion analysis and posture correction functions. It evaluates the user's exercise posture based on data collected from cameras and motion sensors, and detects inaccurate movements by comparing them to an ideal exercise posture. For example, if the knee angle is inappropriate during a squat, the posture can be corrected in real time by providing visual or voice feedback through the user interface unit (210), such as "spread your knees further outward."

[0067] The data analysis unit (190) also provides a regular exercise management function. The data analysis unit (190) can set travel time, practice time, and exercise time regularly and guide the user to perform exercises according to the regularly set exercise program. For example, in a high-intensity interval training (HIIT) session, it alternately controls high-intensity exercise and rest time and provides a notification for rest at the necessary timing. Through this, even though the user is performing high-intensity exercise, the user can take a rest at the appropriate timing, allowing the user to perform high-intensity exercise without strain.

[0068] The data analysis unit (190) also provides AI-based analysis. The data analysis unit (190) uses AI to analyze exercise data and provides customized feedback and exercise plans to the user based on this. For example, it analyzes the user's exercise performance and changes in physical fitness to identify areas that need improvement and recommends a customized exercise program focused on those areas. The AI ​​learns the user's past exercise data to continuously optimize personalized feedback.

[0069] FIG. 12 is a drawing showing an exercise program provided in stages according to an embodiment of the present invention; FIG. 13 is a drawing showing visual materials, exercise programs, learning materials, etc. provided by an exercise content providing unit according to an embodiment of the present invention; FIG. 14 is a drawing showing multiple users exercising simultaneously through a group exercise environment according to an embodiment of the present invention; FIG. 15 is a drawing showing the process of communicating and collaborating among users using a social networking function according to an embodiment of the present invention; and FIG. 16 is a drawing showing the process of a user performing an exercise using a virtual trainer according to an embodiment of the present invention.

[0070] Referring to FIGS. 12, 13, 14, 15, and 16, the exercise content provider (200) provides exercise content, including various visual materials, exercise programs, and learning materials, through the user interface unit (210) so that the user can perform exercises and achieve goals. The exercise content provider (200) optimizes the user experience through the creation and management of high-quality content, the provision of personalized exercise programs, and real-time adjustment functions. In addition, it integrates the latest technology to increase user immersion and supports more systematic exercise plans.

[0071] The exercise content provider (200) offers a wide range of exercise programs to meet the diverse needs of users. It includes various types of exercise such as high-intensity interval training (HIIT), yoga, Pilates, weight training, and aerobic exercise, and supports users of all levels, from beginners to experts. Each program is structured in stages and includes clear movement demonstrations and detailed explanations. For example, yoga sessions for beginners provide slow and steady movements, while high-intensity interval training (HIIT) sessions for experts provide fast and intense exercise routines.

[0072] The exercise content provider (200) generates a user-customized program in conjunction with AI-based analysis technology. Based on the user's fitness level, previous exercise records, and current exercise goals, it recommends an exercise program optimized for the user and adjusts the intensity and length of individual sessions of the exercise program. For example, a user with low fitness is recommended a low-intensity exercise program and can perform an exercise program with gradually increasing intensity. Additionally, the user can select an exercise program according to their goals (e.g., weight loss, muscle strengthening, flexibility improvement).

[0073] The exercise content provider (200) integrates exercise videos, graphics, text, and voice guides to provide clear exercise information to the user. The videos show details of the exercise movements in high resolution, while the graphics and text highlight key points of the movements. The voice guide helps the user understand the correct movements and timing without needing to look at the screen during the exercise. For example, instructions such as "straighten your back and raise your arms with your palms facing the floor" are provided.

[0074] The exercise content provider (200) further enhances the user experience through a real-time feedback function. It analyzes the user's heart rate, motion accuracy, and exercise intensity in real time during exercise to provide feedback optimized for the user. For example, if the user's heart rate exceeds the target range, it provides a notification to increase or decrease the exercise intensity, and if an inaccurate motion is detected, it displays correction instructions on the screen.

[0075] The exercise content provider (200) dynamically adjusts and provides exercise content to the user based on data related to the user. For example, if the user feels fatigued, it suggests exercise movements with lower intensity or shorter sets of exercises, and adjusts the exercise by gradually increasing the intensity as the user gets closer to the goal. This ensures that the user can continue exercising safely and efficiently.

[0076] The exercise content provider (200) integrates AR or VR technology to provide immersive exercise content. When a user wears AR glasses, exercise movement guidelines are overlaid on the real environment, allowing the user to maintain the correct posture. In a VR environment, the user can exercise with a virtual trainer or be provided with various virtual backgrounds (e.g., trekking in nature, gym environment) to increase the user's immersion in exercise. This immersive content enhances the enjoyment of exercise and allows the user to focus more on the exercise movements.

[0077] The exercise content provider (200) provides game elements to enhance motivation for exercise. Users can earn badges or levels with points earned during exercise, and receive additional rewards when they achieve goals. For example, if a goal such as "maintain a heart rate of 150 or higher for 30 minutes" is achieved, a new exercise program or exercise equipment is recommended. These gamification elements increase exercise persistence and help users feel a sense of accomplishment.

[0078] The exercise content provider (200) analyzes the user's exercise data to establish a long-term exercise plan and provides it to the user. Based on the user's exercise records and performance data, it suggests directions for long-term exercise improvement or recommends new exercise content. In addition, it continuously updates the exercise content to reflect the latest trends and the latest scientific exercise methods. For example, when a new scientific exercise method or training technique is added, it immediately provides it to the user through the exercise program.

[0079] The exercise content provider (200) can detect the user's facial expression or voice tone during exercise to analyze the emotional state and provide an exercise program suitable for it. For example, if it is determined that the user is tired or stressed, it suggests a yoga or stretching program with a lower exercise intensity or a calming effect. Conversely, if the user is energetic and highly motivated, it recommends a high-intensity interval training (HIIT) program with higher intensity or an exercise program with competitive elements.

[0080] The exercise content provider (200) analyzes the user's circadian rhythm data and recommends the most suitable exercise time for the user. For example, based on the user's sleep pattern and energy level pattern data, it can suggest high-intensity exercise in the morning and flexibility-enhancing exercise in the evening. This function enables more sophisticated analysis through integration with a wearable device, allowing the user to plan an exercise and perform an exercise program according to their energy level pattern.

[0081] The exercise content provider (200) utilizes social networking functions to promote communication and collaboration among users. Users can share records of completed exercises or compete or cooperate with other users by setting exercise goals. For example, they can set a calorie burning goal with a friend and participate in a joint exercise program to achieve it. The group challenge and leaderboard functions increase user motivation.

[0082] The exercise content provider (200) uses AI to adjust the user's exercise speed and timing in real time. By analyzing the user's muscle fatigue state, heart rate, and movement data, it can adjust the speed of the exercise movements to be slower or faster. For example, it provides instructions such as "reduce the speed of push-ups slightly" to prevent excessive fatigue and injury during exercise.

[0083] The exercise content provider (200) provides a function that allows the user interface to be fully personalized. Users can configure their own exercise environment by selecting their preferred colors, layouts, and data display methods. For example, users can adjust the interface to display real-time heart rate prominently in the center of the screen and calorie consumption small. This visual personalization increases user satisfaction and helps to understand the data more easily.

[0084] The exercise content provider (200) provides a virtual trainer function that motivates the user and provides exercise instructions. The user can select one of the virtual trainer characters with various personalities and styles, and the virtual trainer provides the user with information about the exercise program and real-time feedback based on the user's exercise data. In addition, the virtual trainer can provide encouragement to the user based on the user's exercise movements. For example, it can provide encouraging messages to the user through voice messages and animations such as "You're doing great! Let's hold on for just 10 more seconds!"

[0085] The exercise content provider (200) automatically recommends and plays music suitable for the type and intensity of exercise based on the user's exercise data. For example, it provides fast and energetic music during high-intensity exercise, and calm and slow-tempo music during stretching or yoga sessions. It may also provide a function to adjust the tempo of the music in real time according to heart rate or exercise speed.

[0086] The exercise content provider (200) provides exercise program information in direct linkage with health goals. For example, for a user aiming for weight loss, it can provide integrated diet information suitable for high-intensity aerobic exercise. Conversely, for a user aiming for muscle strengthening, it can provide content by linking a protein intake diet with an exercise program. The integrated approach described above supports the user's goal achievement more systematically.

[0087] FIG. 17 is a diagram showing a user checking exercise data through an interface according to an embodiment of the present invention.

[0088] Referring to FIG. 17, the user interface section (210) is a component that allows the user to interact directly with the system and is configured to allow the user to intuitively check exercise programs and exercise data. The user interface section (210) maximizes the user experience (UX) and is configured to operate consistently across various input devices and display environments. The user interface section (210) performs roles including information delivery, setting management, provision of real-time feedback, and personalized visual configuration.

[0089] The user interface section (210) clearly provides data collected during exercise in various visual forms, such as graphs, charts, and numbers. For example, real-time heart rate, calorie consumption, and exercise progress status are intuitively displayed on the screen, allowing the user to quickly understand their current condition. Progress bars and color codes allow exercise goals and performance to be checked at a glance and clearly show the additional tasks required for the user to achieve the goal.

[0090] The user interface unit (210) provides user customization functions so that the user can optimize the interface to suit their preferences. For example, the real-time heart rate can be displayed prominently in the center of the screen, or the exercise intensity graph can be reduced in size and placed. Additionally, screen color, text size, and the order of data display can all be adjusted to suit the user's needs. These user customization functions support a clearer understanding of exercise data and easy access to the information the user needs. Furthermore, when the user inputs their exercise data or sets a new goal, the user interface unit (210) provides an intuitive workflow function to enable fast and accurate input. For example, on the exercise program selection screen, the difficulty level, duration, and main goals (e.g., strength training, aerobic training, etc.) of the exercise program are clearly displayed and provided to the user.

[0091] The user interface section (210) provides an intuitive touch interface and is configured to allow access to all settings and functions through simple drag and tap actions. Additionally, voice command functions are integrated so that the user can control the interface even when their hands are unavailable. For example, the user can operate the system using commands such as "move to the next workout" or "zoom in on the heart rate data." This voice control enhances user convenience, especially during dynamic workouts.

[0092] The user interface unit (210) automatically adjusts the interface based on the user's real-time biometric data. For example, when the heart rate is high, it simplifies the data on the screen so that the user can focus only on key information. Conversely, when the exercise intensity is low and the heart rate is stable, it displays more data to attract the user's interest.

[0093] The user interface unit (210) learns the pattern of how the user uses the interface and provides a smart layout function that places frequently used functions and data at the front of the screen. For example, if the user frequently checks heart rate data, the data is fixed at the top of the screen by default.

[0094] FIG. 18 is a diagram showing the operation of a track-based exercise management system according to one embodiment of the present invention.

[0095] Referring to Fig. 18, a track-based exercise management system can divide exercise sessions into a minimum of 3 and a maximum of 10 tracks, allowing users to focus on specific body parts or types of exercise within each track. Each track is configured independently and includes various exercise programs such as upper body exercises, lower body exercises, and aerobic exercises. Users receive visual information regarding the exercise movements and goals of each track via a large display or wearable device, and can view movement demonstrations and detailed explanations along with visual materials. Through this, users can maintain exercise accuracy and achieve maximum effectiveness in each session.

[0096] The exercise recording function operates based on time or by utilizing heart rate data. Users can record exercise data for a set period or use a heart rate sensor to collect data for exercises performed within a specific heart rate range (e.g., 130–150 BPM). This recording method provides accurate data necessary to evaluate and analyze exercise intensity and effectiveness. The heart rate sensor monitors the exercise status based on the user's real-time biometric data.

[0097] Each track is subdivided into transition time, practice time, and exercise time, and these time settings allow for the systematic management of daily exercise routines. Transition time is for switching between tracks and taking short breaks, preventing excessive fatigue while maintaining exercise continuity. For example, setting the transition time between tracks to 30 seconds provides a brief rest, allowing for immediate focus on the next track's workout. Practice time is for learning new movements or reviewing existing ones, helping beginners master exercise techniques accurately. For experienced users, it can be utilized for movement preparation and warm-up. Exercise time is the period for performing the main workout on each track; for instance, a track can be set for performing squat repetitions for 10 minutes. These time settings can be flexibly adjusted according to the user's fitness level, exercise goals, and personal preferences.

[0098] Track-based exercise management systems provide real-time data visualization capabilities, allowing users to clearly check key data such as the track currently being performed, remaining time, exercise intensity, and calorie consumption. Real-time updated data enables users to quickly understand their exercise status and make necessary adjustments immediately. For example, if the heart rate exceeds or falls short of the target range, a notification is displayed on the screen to guide users in adjusting exercise intensity. This data is managed integrally to comprehensively analyze track-specific and overall exercise performance, providing users with personalized feedback and suggestions for improvement.

[0099] In addition, each track evaluates the achievement of set goals in real time. When a user achieves a goal set on a track, visual feedback or voice notifications are provided to help the user feel a sense of accomplishment. For example, if a user reaches a target heart rate or completes a set workout time, a message saying "Congratulations! You have successfully achieved your track goal" is displayed, reinforcing the user's motivation to exercise and contributing to increased workout consistency.

[0100] Track-based exercise management systems offer various features to enable users to manage their daily workouts more systematically. Users can adjust the time settings, exercise intensity, and goals for each track according to their needs and preferences. Beginners can set longer practice times and shorter workout durations to focus on mastering movements, while experienced users can minimize travel time and increase workout duration to perform high-intensity exercises. These personalized settings optimize the user experience and allow each user to execute exercise programs tailored to their fitness level and goals.

[0101] Although the invention has been described with reference to the above embodiments, those skilled in the art will understand that various modifications and changes can be made to the invention without departing from the spirit and scope of the invention as described in the following claims. Explanation of the symbols

[0102] 100: Non-face-to-face exercise coaching system 110: Input section 120: Output section 130: Communications Department 140: Storage section 150: Control unit 160: Memory section 170: Visual transmission device section 180: Exercise data measurement section 190: Data Analysis Department 200: Exercise Content Provider 210: User Interface Section

Claims

Claim 1 A non-face-to-face exercise coaching system comprising: an input unit that receives data from the outside into the system; an output unit that outputs result data to the outside; a communication unit that transmits and receives data between the inside and outside of the system; a storage unit that stores data generated in the system; a control unit that controls the operation of the system; and a memory unit that executes various programs and stores data accordingly, wherein the memory unit comprises: a visual transmission device unit that provides visual information regarding an exercise program to a user; an exercise data measurement unit that collects and stores the user's exercise data in real time; a data analysis unit that analyzes the exercise data and provides feedback; an exercise content provision unit that provides content related to the exercise program to the user; and a user interface unit through which the user directly interacts with the system. Claim 2 In claim 1, the visual transmission device part comprises a display device, a VR or AR device, and a stage, forming a non-face-to-face exercise coaching system. Claim 3 In claim 1, the visual transmission device part is a non-face-to-face exercise coaching system that provides immediate correction information for the user's exercise movements in real time through a feedback display function. Claim 4 In claim 1, the visual transmission device unit is a non-face-to-face exercise coaching system that optimizes the vertical and horizontal aspect ratio of the screen to suit the display environment through an image ratio adjustment function. Claim 5 In claim 1, the visual transmission device part is a non-face-to-face exercise coaching system that provides step-by-step exercise movement demonstrations according to an exercise program. Claim 6 In claim 1, the visual transmission device unit is a non-face-to-face exercise coaching system that visualizes real-time exercise data on a screen in conjunction with a wearable device. Claim 7 In claim 1, the visual transmission device provides a device-to-device linkage function, thereby enabling the exercise video to be played continuously even if the user changes location or device, in a non-face-to-face exercise coaching system. Claim 8 A non-face-to-face exercise coaching system according to claim 1, wherein the visual transmission device provides an AR environment and displays guidelines over the user's movements through AR glasses worn by the user to enable the user to maintain an accurate posture. Claim 9 In claim 1, the exercise data measurement unit analyzes the collected exercise data and provides exercise data capable of evaluating the user's exercise performance in a non-face-to-face exercise coaching system. Claim 10 In claim 1, the exercise data measurement unit is a non-face-to-face exercise coaching system that analyzes the user's exercise data and automatically identifies the type of exercise being performed. Claim 11 In claim 1, the data analysis unit is a non-face-to-face exercise coaching system that integrates and analyzes the exercise data collected from various data input sources. Claim 12 In claim 1, the exercise content providing unit recommends an exercise program based on the user's fitness level, previous exercise records, and current exercise goals, and is a non-face-to-face exercise coaching system that adjusts the intensity and length of individual sessions of the exercise program. Claim 13 In claim 1, the exercise content providing unit is a non-face-to-face exercise coaching system that dynamically adjusts exercise content based on the user's exercise data and provides it to the user. Claim 14 In claim 1, the exercise content providing unit is a non-face-to-face exercise coaching system that analyzes the user's exercise data to establish a long-term exercise plan and provides it to the user. Claim 15 In claim 1, the exercise content providing unit detects the user's facial expression or voice tone during exercise to analyze the emotional state and provides an exercise program tailored thereto, in a non-face-to-face exercise coaching system. Claim 16 In claim 1, the exercise content providing unit is a non-face-to-face exercise coaching system that provides a virtual trainer function to motivate the user and provide exercise instructions. Claim 17 In claim 1, the user interface unit is a non-face-to-face exercise coaching system that automatically adjusts the interface based on the user's real-time biometric data.

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