Sports ranging multifunctional AI glasses

Abstract

The present application relates to the technical field of sports ranging glasses, in particular to a sports ranging multifunctional AI glasses, which comprises a frame, lenses and temples, the front of the frame is integrated with a ranging radar and a camera, and the side is provided with a wind speed test module; the surface of the lenses is provided with a foresight that can be aligned with a target object, and is embedded with an optical waveguide module, the outside of the temples is fixed with a detection module, and the curved part of the temples is installed with a loudspeaker, and the frame is internally provided with an AI processing unit, which is signal connected with the ranging radar, the camera, the wind speed test module, the detection module and the optical waveguide module; the sports ranging multifunctional AI glasses integrates the ranging radar and the camera on the front of the frame, and is provided with the wind speed test module on the side, so as to synchronously collect core data such as target distance, visual image and environmental wind speed, cooperate with the temperature and humidity sensor on the inner side of the frame, realize comprehensive perception of the sports environment, avoid judgment deviation caused by single environmental parameter collection, and provide sufficient data support for the hitting decision.

Description

Technical Field

[0001] This invention relates to the field of sports ranging glasses technology, specifically a multi-functional AI sports ranging glasses. Background Technology

[0002] In various ball sports, distance measurement, environmental judgment, and body condition regulation directly affect athletic performance. Athletes need to adjust their strategies based on distance, environment, and their own condition, hence the widespread use of sports assistive devices. However, most assistive devices currently on the market are designed for a single ball sport or a single function, and cannot integrate multi-dimensional data for collaborative output, making it difficult to meet athletes' needs for multi-ball sport adaptation and integrated assistance.

[0003] Existing sports distance measuring devices are mainly handheld laser rangefinders and fixed distance measuring devices. Handheld devices require manual operation, occupy hand space and interrupt the rhythm of exercise. They can only provide distance data and cannot simultaneously obtain key environmental parameters such as wind speed and slope, resulting in poor adaptability. Fixed devices are limited by the scene and cannot move with the athlete. They are not suitable for outdoor and non-standard venues and are difficult to adapt to multiple scenes and multiple ball sports.

[0004] Some smart devices, such as smartwatches with distance measurement functions and ordinary sports glasses, have attempted to integrate functions, but their limitations are obvious and they cannot adapt to the needs of multiple ball sports. Smartwatches have small screens and the data is not intuitive, requiring users to look down to view it, which can easily distract them and affect their movements; ordinary sports glasses lack accurate distance measurement and environmental perception modules, and cannot provide targeted professional data support for different ball sports.

[0005] In terms of physical condition monitoring, existing devices are mostly standalone health bracelets and heart rate monitors, which can only collect data such as heart rate and blood oxygenation individually, and cannot be linked with sports distance measurement and environmental parameters for analysis. Athletes need to view data from different devices separately, which is cumbersome and makes it difficult to quickly combine multiple types of information to adjust strategies. During high-intensity exercise, ignoring fluctuations in physical condition may lead to risks, and it is also impossible to optimize athletic performance through data correlation.

[0006] Meanwhile, existing equipment lacks AI intelligent analysis capabilities and cannot deeply integrate various types of data to generate targeted suggestions adapted to different ball sports. Athletes must rely on their own experience to judge the environment and their physical condition. Those with insufficient experience find it difficult to improve their level quickly, and professional athletes cannot optimize their skills for various ball sports through precise data analysis, thus hindering the realization of the equipment's auxiliary value.

[0007] Furthermore, existing multi-functional devices suffer from low integration, poor portability, and weak compatibility with various ball sports. Carrying and operating multiple independent devices increases the burden on athletes and negatively impacts their athletic experience. Different ball sports have different requirements for auxiliary functions, and existing devices cannot be switched with a single click to meet these needs, requiring device replacement and further increasing usage costs. Therefore, there is an urgent need for an integrated device that combines multi-dimensional sensing, intelligent analysis, intuitive display, and health monitoring functions, and is compatible with multiple ball sports. This device would address the problems of fragmented functions, poor coordination, inconvenient operation, and weak compatibility of existing devices, meeting the diverse needs of athletes of different skill levels in various ball sports.

[0008] To address this, we propose a multi-functional AI glasses for motion ranging. Summary of the Invention

[0009] One of the technical problems this application aims to solve is the urgent need for an integrated device that combines multi-dimensional sensing, intelligent analysis, intuitive display, and health monitoring functions, and is compatible with various ball sports. This device would address the issues of existing devices having fragmented functions, poor coordination, inconvenient operation, and weak adaptability, thus meeting the diverse needs of athletes of different levels in various ball sports.

[0010] To address the aforementioned technical issues, this application provides a multi-functional AI glasses for motion ranging, including a frame, lenses, and temples. The front of the frame integrates a ranging radar and a camera, the side of the frame has a wind speed testing module, and the inside of the frame has a temperature and humidity detection unit.

[0011] The lens surface is equipped with a crosshair for aiming at the target object, and has an embedded optical waveguide module for dynamically displaying ranging data, environmental parameters and AI analysis content;

[0012] A detection module is fixed to the outer side of the temples to monitor the user's heart rate, blood pressure, blood oxygen saturation and exercise parameters in real time. A speaker is installed at the bend of the temples.

[0013] The frame or temple has a built-in AI processing unit that connects to a ranging radar, camera, wind speed testing module, temperature and humidity detection unit, detection module, and optical waveguide module. This unit is used to fuse multi-source data and generate elevation angle, slope, distance, and environmental suggestions for moving targets.

[0014] In some embodiments, the detection module includes a photoelectric sensor, an accelerometer, and a gyroscope, and calculates the user's motion posture and health indicators in real time through a multi-sensor fusion algorithm.

[0015] In some embodiments, the crosshair on the lens is a crosshair or a laser pointer mark, which works in conjunction with the camera to achieve target locking and image recognition.

[0016] In some embodiments, the optical waveguide module supports a holographic projection display mode, which overlays the target distance of the ranging radar, the wind speed and direction of the wind speed test module, and the motion strategy generated by AI onto the field of view of the lens.

[0017] In some embodiments, the ranging radar is a millimeter-wave radar, and the visual data from the camera is spatiotemporally calibrated by an AI processing unit to achieve 3D positioning of obstacles and green slope modeling.

[0018] In some embodiments, the wind speed testing module includes a miniature ultrasonic anemometer and a temperature sensor for real-time acquisition of wind speed, wind direction, and ambient temperature and humidity data.

[0019] In some embodiments, the detection module of the temple further integrates a skin conductivity sensor for obtaining the user's heart rate variability and stress index through contact measurement.

[0020] In some embodiments, the temperature and humidity detection unit is used to detect the user's body surface temperature and humidity and environmental dew point data, and outputs the impact coefficient of the ball hitting environment in conjunction with the wind speed test module.

[0021] In some embodiments, the speaker supports voice interaction, enabling it to broadcast AI analysis results, navigation instructions, and user health alerts.

[0022] In some embodiments, the temples have a built-in wireless communication module that supports connection with mobile terminals or sports field positioning systems to enable real-time map updates, event data synchronization, and remote expert guidance.

[0023] This invention has at least the following beneficial effects:

[0024] 1. By integrating a ranging radar and camera on the front of the frame and configuring a wind speed testing module on the side, it can simultaneously collect core data such as target distance, visual images, and ambient wind speed. Combined with the temperature and humidity sensor inside the frame, it can achieve comprehensive perception of the hitting environment, avoid judgment bias caused by collecting only a single environmental parameter, and provide sufficient data support for hitting decisions.

[0025] 2. The crosshair design on the lens is linked with the camera, enabling quick target locking and image recognition. Combined with the embedded waveguide module, it can dynamically overlay ranging data, environmental parameters, and AI analysis content onto the field of view, allowing users to obtain key information without leaving their field of vision. This effectively improves ease of operation and reduces interruptions to the rhythm of movement caused by looking down at the device. The waveguide module supports a holographic projection display mode, which further optimizes the information presentation effect, making data visualization more intuitive and helping users quickly capture core shot suggestions.

[0026] 3. The detection module on the temples integrates multiple sensors to monitor the user's heart rate, blood pressure, blood oxygen saturation, and exercise status parameters in real time. Combined with heart rate variability and stress index obtained from the skin conductivity sensor, it can comprehensively understand the user's physical and psychological state. When the user experiences physical fatigue or emotional fluctuations, the speaker's voice alarm function can promptly remind them, helping them adjust their exercise rhythm and reduce the exercise risks caused by physical discomfort or psychological tension, thus balancing athletic performance and health safety.

[0027] 4. The built-in AI processing unit enables deep fusion of multi-source data, comprehensively analyzing distance data from the ranging radar, visual information from the camera, environmental parameters from the wind speed testing module, and human data from the detection module to accurately generate moving target elevation angle, slope, distance, and environmental suggestions. The spatiotemporal calibration of millimeter-wave radar and visual data enables 3D obstacle localization and green slope modeling, making the AI ​​analysis results more consistent with actual field conditions, helping users optimize their hitting strategies and improve hitting accuracy.

[0028] 5. The voice interaction function of the speaker complements the wireless communication module. It can not only broadcast AI analysis results and navigation instructions, but also achieve real-time map updates, event data synchronization and remote expert guidance through connection with mobile terminals or sports field positioning systems. It not only meets the intelligent assistance needs of individual sports, but also adapts to the data sharing and professional guidance needs in event scenarios, thus broadening the product's applicability. Attached Figure Description

[0029] Figure 1 This is a schematic diagram of the overall structure of the present invention;

[0030] Figure 2 A schematic diagram of the overall structure from another perspective Figure 1 ;

[0031] Figure 3 A schematic diagram of the overall structure from another perspective Figure 2 .

[0032] In the diagram, 100-frame; 101-range measuring radar; 102-camera; 103-wind speed testing module; 104-temperature and humidity detection unit; 200-lens; 300-temple; 301-detection module; 302-speaker. Detailed Implementation

[0033] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0034] Example 1, see Figures 1-2 This invention provides a technical solution: a multi-functional AI glasses for sports ranging, comprising a frame 100, lenses 200, and temples 300.

[0035] The front of the frame 100 integrates a ranging radar 101 and a camera 102, the side of the temple 100 is provided with a wind speed testing module 103, and the inside of the frame 100 is provided with a temperature and humidity detection unit 104.

[0036] The lens 200 has a crosshair on its surface that can be aimed at the target object, and an embedded optical waveguide module for dynamically displaying ranging data, environmental parameters and AI analysis content.

[0037] A detection module 301 is fixed on the outer side of the temple 300 for real-time monitoring of the user's heart rate, blood pressure, blood oxygen saturation and exercise status parameters. A speaker 302 is installed at the bend of the temple 300.

[0038] The frame 100 or temple 300 has a built-in AI processing unit that is connected to the ranging radar 101, camera 102, wind speed test module 103, temperature and humidity detection unit 104, detection module 301 and optical waveguide module to fuse multi-source data and generate golf target elevation angle, slope, distance and environmental suggestions.

[0039] Specifically, the design principle of this multi-functional AI glasses for golf ball ranging is based on the core needs of real-time acquisition, accurate analysis, and convenient presentation of multi-dimensional data during sports. Through the scientific layout of components and signal linkage, it achieves closed-loop collaboration of environmental perception, human body monitoring, intelligent processing, and intuitive feedback. The ranging radar 101 and camera 102 are integrated on the front of the frame 100. Leveraging the unobstructed frontal view, the ranging radar 101 accurately captures target distance information, while the camera 102 simultaneously acquires visual images. The data from both can complement and calibrate each other, improving the accuracy of target positioning and environmental recognition. The wind speed testing module 103 is located on the side of the frame 100, avoiding obstruction of the frontal view and ensuring a smooth user experience. It also allows for real-time acquisition of wind speed and direction data close to the external environment, minimizing interference from the device itself and ensuring the authenticity of environmental parameter acquisition.

[0040] The lens 200 features a sight on its surface, serving as a visual aiming reference for quick alignment with the target object. Combined with the camera 102, it achieves target locking, providing clear direction for distance measurement and image recognition, and reducing user difficulty. The embedded waveguide module in the lens 200, with its thin and highly transparent characteristics, can dynamically overlay and display various data without affecting normal vision, achieving a fusion of virtual information and real-world scenes, meeting the need to obtain information without shifting the gaze during movement. The temple 300, serving as an auxiliary function area, houses the detection module 301, which, through close contact with the skin, stably collects human parameters such as heart rate and blood pressure. The accelerometer and gyroscope simultaneously capture movement posture. The speaker 302 is installed at the bend of the temple 300, close to the ear, clearly transmitting voice information without causing pressure on the head or interfering with movement. The built-in AI processing unit serves as the core control component. Through signal connections with various functional modules, it enables real-time reception and fusion processing of multi-source data. Combined with professional motion algorithms, it transforms environmental data, human body data, and visual data into targeted shot suggestions, forming a complete "perception-processing-feedback" chain.

[0041] The core design objective is to address the problems of fragmented functions, cumbersome operation, and disjointed data in traditional sports assistive devices, providing users with an integrated and intelligent sports assistive solution. By integrating distance measurement, environmental perception, human body monitoring, intelligent analysis, and information display functions, it breaks through the limitations of single-device use, eliminating the need for users to carry multiple separate devices and simplifying the exercise preparation process. Addressing the pain point of easily interrupted rhythm during exercise, it reduces manual operation and eye shifts through features such as crosshair aiming, field-of-view data display, and voice prompts, ensuring the continuity of movement. Simultaneously, it balances athletic performance and health safety, providing accurate data support for exercise strategy formulation and real-time monitoring of physical status to prevent exercise risks caused by excessive physical load or fluctuations in condition, meeting the diverse needs of users at different levels, from basic assistance to professional advancement.

[0042] The benefits of this design are evident in all practical use scenarios, significantly enhancing the device's usability and convenience. The integrated structural layout significantly improves portability, with modules rationally distributed across the frame 100 and temples 300, resulting in balanced weight, comfortable wear, and freedom of movement, adapting to various postures such as walking during exercise. Multi-module data collaborative analysis significantly improves the accuracy of exercise suggestions. The linkage between the ranging radar 101 and camera 102 enables 3D obstacle localization and green slope modeling. The fusion of environmental parameters such as wind speed, temperature, and humidity with human body status data allows AI-generated motion target elevation angle and distance suggestions to better match the actual terrain and the user's own situation, helping users optimize their exercise strategies.

[0043] The waveguide module's display method offers advantages such as allowing users to simultaneously acquire key data while focusing on their target, avoiding distractions and distorted movements caused by looking down at the device. This is especially suitable for sports scenarios requiring rapid decision-making. The temple 300 detection module 301 monitors human body parameters in real time, providing timely feedback on changes in fatigue, tension, and other states. The speaker 302's voice broadcast function allows users to receive alarm information and analysis results without manual operation, further enhancing ease of use. Furthermore, the device boasts strong functional compatibility, meeting the daily exercise assistance needs of ordinary enthusiasts while providing precise data analysis support for professional athletes, broadening its applicability. Simultaneously, through deep integration and intelligent processing of multi-source data, it drives the upgrade of assistive devices from single-function to comprehensive intelligence, optimizing the overall sports experience.

[0044] Example 2, see Figures 1-2 The detection module 301 includes a photoelectric sensor, an accelerometer and a gyroscope, and calculates the user's motion posture and health indicators in real time through a multi-sensor fusion algorithm.

[0045] Specifically, the design principle of the detection module 301 revolves around the need for precise synchronous capture of the human body's state and posture during movement. It leverages the complementary functional characteristics of different types of sensors and combines multi-sensor fusion algorithms to achieve data integration and optimized calculation. The photoelectric sensor, as the core of health indicator acquisition, operates based on the photoplethysmography principle. It uses specific wavelengths of light to illuminate the skin surface and detects changes in light intensity after transmission or reflection, capturing the periodic fluctuations in blood volume with heartbeats, thereby extracting basic health parameters such as heart rate and blood oxygen saturation. The accelerometer and gyroscope focus on motion posture perception. The accelerometer can collect linear acceleration data of the user in three-dimensional space in real time, capturing changes in speed and displacement trends. The gyroscope can detect angular velocity information around three-dimensional coordinate axes, accurately capturing changes in body posture such as rotation and tilt. Together, they can completely reconstruct the user's motion trajectory and posture characteristics.

[0046] Multi-sensor fusion algorithms are the core of achieving accurate data output. By performing spatiotemporal calibration, noise filtering, and data fusion operations on raw data collected from three types of sensors, the limitations of single-sensor measurements are overcome. Motion attitude calculation can employ a quaternion-based attitude solution algorithm, with the core formula being: ,in Representing quaternions, used to describe pose in three-dimensional space. For the real part, The imaginary parts represent the rotational components around the x, y, and z axes, respectively. By fusing the angular velocity ω output from the gyroscope and the linear acceleration a output from the accelerometer, the user's pitch, roll, and yaw angles can be calculated, accurately representing the body's rotation amplitude, tilt angle, and movement continuity during motion. In the calculation of health indicators, the pulse wave signal collected by the photoelectric sensor is filtered using a multi-sensor fusion algorithm. The core formula is... ,in The filtered effective pulse wave signal The original acquired signal, The weighting coefficient for the nth noise component. To eliminate noise signals such as motion artifacts and ambient light interference, the stability and accuracy of heart rate and blood oxygen data are improved by removing the influence of noise.

[0047] The design aims to address the challenge of a single sensor simultaneously and accurately capturing both human health status and movement posture, providing comprehensive human data support for sports. Sports movements demand highly precise body posture, and the duration of these movements is often long. Fluctuations in body condition directly impact performance and safety. Existing single sensors either only collect health data without linking it to movement posture, or only capture motion information without health monitoring capabilities, resulting in fragmented data and an inability to provide complete human dimension input for AI analysis. By integrating three types of sensors and combining them with a fusion algorithm, the design enables the simultaneous collection and correlation calculation of health indicators and movement posture. This accurately reconstructs the details of movement and monitors the body's load status in real time. The AI ​​processing unit can then deeply integrate human data with environmental and distance measurement data to generate suggestions more tailored to the user's actual condition.

[0048] Meanwhile, the design also aims to improve the anti-interference capability and adaptability of data acquisition. Sports scenarios involve various interference factors such as changes in ambient light and body movement. Single sensors are susceptible to interference, leading to data distortion. For example, photoelectric sensors are prone to motion artifacts due to body movement, and accelerometers are easily affected by vibrations, resulting in data deviations. By using a multi-sensor fusion algorithm to cross-validate and complementarily calibrate multi-source data, errors caused by interference factors can be effectively offset, ensuring that data acquisition remains accurate and stable under different movement states such as walking and standing, meeting the usage requirements of dynamic golf scenarios.

[0049] The collaborative operation of multiple sensors, coupled with fusion algorithms, significantly improves the reliability of data output. The attitude calculation formula avoids the gimbaling problem of Euler angles through quaternion operations, accurately capturing subtle attitude changes during movement, helping users identify movement deviations, and providing data support for movement optimization. Health data, through noise filtering algorithms, remains accurate even during strenuous exercise, providing timely feedback on abnormal heart rate, insufficient blood oxygen, and other conditions, preventing sports injuries caused by excessive physical load.

[0050] From a user experience perspective, the three types of sensors are integrated into a single module, eliminating the need for separate monitoring devices and balancing portability and practicality, making it suitable for scenarios where exercise is conducted entirely on the move. The collected posture data can be linked with AI-powered swing suggestions, providing users with targeted adjustment advice by analyzing the rationality of their swing posture to help improve technique. The correlation analysis between health data and posture allows users to clearly understand the relationship between their physical condition and athletic performance, such as recognizing the impact of excessively high heart rate on stability, and thus adjusting their exercise pace. Furthermore, the real-time computing power of the fusion algorithm ensures zero-latency data output, synchronously transmitting data from ranging, environmental perception, and other modules to the AI ​​processing unit, guaranteeing the overall device's collaborative response efficiency and providing users with a consistent and accurate exercise assistance experience.

[0051] The crosshair on the lens 200 is a crosshair or laser pointer, which works in conjunction with the camera 102 to achieve target locking and image recognition.

[0052] The optical waveguide module supports holographic projection display mode, which superimposes the target distance of the ranging radar 101, the wind speed and direction of the wind speed test module 103, and the AI-generated ball-hitting strategy onto the field of view of the lens 200.

[0053] The ranging radar 101 is a millimeter-wave radar. The visual data from the camera 102 is spatiotemporally calibrated through an AI processing unit to achieve 3D positioning of obstacles and green slope modeling.

[0054] Specifically, the core principle of this design is based on the coordinated needs of target aiming in motion, environmental data visualization, and three-dimensional site perception. Through complementary functions and signal linkage among components, a precise and intuitive visual assistance system is constructed. The crosshair or laser pointer on the lens 200 serves as a visual reference. The crosshair, with its symmetrical structure, facilitates quick target alignment, while the laser pointer clearly points to the target's core under different lighting conditions. Both provide clear aiming references for the camera 102. When the camera 102 is linked with the crosshair, it acquires visual images centered on the crosshair's coverage area, locks onto the target object using image recognition algorithms, and simultaneously records the target's position information in the frame, providing a positioning basis for subsequent data association.

[0055] The optical waveguide module, relying on optical waveguide transmission and holographic imaging technology, transforms various data into virtual images superimposed on the real field of vision while ensuring the lens's high light transmittance of 200. Its holographic projection display mode requires no additional screen; by controlling the light propagation path, it precisely matches the data image with the scene in the user's field of vision, achieving a fusion of virtual information and the real environment, avoiding obstruction or interference from data display on the normal field of vision. The millimeter-wave radar utilizes the signal characteristics of the millimeter-wave band, possessing advantages such as accurate ranging, strong anti-interference capabilities, and excellent environmental adaptability. It can penetrate complex environments such as light fog and dust to obtain target distance data. This data, along with the two-dimensional visual data collected by camera 102, is spatiotemporally calibrated by an AI processing unit. Essentially, it precisely matches the distance information and visual features of the same target at the same time, combining this with terrain data to construct a three-dimensional spatial model, thereby achieving obstacle location and green slope reconstruction.

[0056] The primary design objective is to address the problems of unclear target aiming, cumbersome acquisition of key data, and incomplete perception of the playing field during sports activities. Sports precision highly depends on the accuracy of target locking. Traditional aiming methods rely solely on human judgment, which is easily affected by light and distance, leading to deviations. The linkage between the crosshair and camera 102 provides an objective aiming reference and target locking mechanism, reducing human judgment errors. Simultaneously, athletes need to quickly grasp multiple data points such as distance, wind speed, and field slope before striking the ball. Traditional equipment requires checking different devices separately, disrupting the rhythm of the movement and easily causing data fragmentation. The holographic display of the waveguide module can intuitively present all key data in the field of view, achieving one-stop data acquisition.

[0057] The spatiotemporal calibration and 3D modeling of millimeter-wave radar and camera 102 are primarily designed to overcome the limitations of 2D visual data in reflecting depth and slope. 3D information such as green slope and obstacle location is crucial for selecting the angle of attack and intensity of movement. Relying solely on visual or single distance measurement data is insufficient for accurate judgment. The 3D model constructed collaboratively by these two technologies can fully recreate the terrain features of the site, providing precise site data support for the AI ​​processing unit to generate movement strategies, making movement suggestions more aligned with actual site conditions. Furthermore, the design aims to enhance the device's adaptability to complex environments, ensuring that target locking, data display, and site perception functions operate stably under different lighting and weather conditions, meeting the diverse needs of outdoor sports scenarios.

[0058] The linkage between the crosshair and camera 102 significantly improves the speed and accuracy of target locking. The crosshair or laser crosshair can quickly guide the user to aim at key targets such as the flagpole and green. The camera 102 simultaneously completes target recognition and positioning, reducing aiming time, which is especially suitable for scenarios requiring rapid decision-making, such as competitions. The waveguide holographic projection display completely changes the way data is viewed. Users can simultaneously grasp information such as distance and wind speed strategies without looking down or shifting their gaze, maintaining the continuity of their movement posture, avoiding motion distortion caused by shifting their gaze, and improving movement stability.

[0059] The characteristics of millimeter-wave radar enable it to accurately measure distances even in complex environments such as strong light, backlight, and light rain. When fused with visual data from camera 102, it effectively filters environmental interference, ensuring accurate obstacle location and helping users avoid obstacles such as trees and sandpits. Green slope modeling visually presents the undulations of the course, allowing users to clearly understand the direction and angle of the green's inclination. Combined with AI-generated motion strategies, users can precisely adjust their intensity and elevation angle. Simultaneously, these three technologies work together to form a complete visual assistance chain. From target aiming to data presentation and course perception, no additional operation is required, simplifying the user experience and balancing ease of use for casual enthusiasts with the precision needs of professional athletes, significantly optimizing the visual assistance experience for sports.

[0060] The wind speed testing module 103 includes a miniature ultrasonic anemometer and a temperature sensor, used to collect wind speed, wind direction and ambient temperature and humidity data in real time.

[0061] The detection module 301 of the temple 300 further integrates a skin conductivity sensor for obtaining the user's heart rate variability and stress index through contact measurement.

[0062] The temperature and humidity detection unit 104 is used to detect the user's body surface temperature and humidity and environmental dew point data, and outputs the impact coefficient of the ball hitting environment in conjunction with the wind speed test module 103.

[0063] Specifically, the core principle of this design revolves around the coordinated need for precise acquisition of environmental parameters during movement and in-depth monitoring of human body status. It leverages the functional characteristics and data linkage of different sensors to construct a more comprehensive "environment-human body" dual-dimensional data system. The miniature ultrasonic anemometer mounted on the wind speed testing module 103 calculates wind speed using the time-of-flight method, with the core formula being: Where v represents the actual wind speed, d is the fixed distance between the two sets of ultrasonic probes, t1 is the time for the ultrasonic wave to travel with the airflow, and t2 is the time for the ultrasonic wave to travel against the airflow. By calculating the time difference of bidirectional propagation and combining it with the probe distance, the airflow speed can be accurately derived. Then, the wind direction can be located by the signal feedback difference of multiple sets of ultrasonic probes. It has the advantages of fast response speed, high measurement accuracy and small size, and is suitable for the integrated layout of glasses. The temperature sensor simultaneously collects ambient temperature and humidity data, providing environmental compensation basis for wind speed and wind direction data, reducing the interference of temperature and humidity changes on the ultrasonic wave propagation speed, further correcting the wind speed calculation results and improving the measurement accuracy.

[0064] The newly added skin conductivity sensor in the 301 detection module of the temple 300 works based on the physiological characteristic of human skin conductivity changing with the amount of sweat secretion. Through close contact with the skin, it captures the fluctuations in the conductivity value of the skin surface in real time. The amount of sweat secretion is directly related to human emotional state and physiological load. Combining the correlation algorithm between heart rate variability and skin conductivity values, the heart rate variability (HRV) is calculated using the standard deviation of adjacent RR intervals. The core formula is... In the formula To standardize the heart rate variability index, The time interval (in milliseconds) between the i-th adjacent heartbeats. The stress index is the average of all RR intervals, where N is the total number of RR intervals within the statistical period. This index reflects autonomic nervous system regulation and indirectly characterizes stress levels. The stress index is quantified by the deviation of skin conductance values, using the formula: PI is the pressure index, and G is the real-time skin conductance value (in microSiemens). By calculating the relative deviation between the real-time and baseline skin conductivity values ​​at the user's resting state, the pressure level can be intuitively determined. The synergistic effect of conductivity values ​​and subtle changes in heart rate variability enables simultaneous monitoring of physiological and psychological states, overcoming the limitations of traditional photoelectric sensors that can only collect basic health indicators.

[0065] The temperature and humidity detection unit 104 inside the frame 100, being close to the user's facial skin, can accurately capture surface temperature and humidity data. Simultaneously, it calculates the environmental dew point based on the Magnus-Tetens approximation formula. The core formula is... In the formula Here, is the dew point temperature (in °C), a and b are empirical constants (a=17.27, b=237.7 °C), T is the ambient temperature (in °C), and RH is the ambient relative humidity (in %). This formula allows for the accurate derivation of the critical temperature for air moisture condensation, reflecting the degree of environmental humidity. Based on this, and combined with the data output from the wind speed testing module 103, the impact coefficient of the hitting environment is calculated using the following formula: Where K is the impact coefficient of the hitting environment, which has no unit and ranges from 0 to 1. The larger the value, the more significant the impact. v is the real-time wind speed (unit: m / s). This is the absolute difference between the ambient temperature and the dew point temperature. The weighting coefficients are calibrated according to the golf game scenario, corresponding to the influence weights of wind speed, humidity difference, and dryness, respectively. This formula quantifies the combined effect of multiple environmental parameters on the ball trajectory and ball speed, providing a quantitative basis for AI to generate shot suggestions.

[0066] The primary design objective is to bridge the gaps in environmental perception and human body monitoring in existing equipment, providing more comprehensive data input for the AI ​​processing unit. The performance of ball sports is greatly influenced by environmental factors; simply knowing wind speed and direction is insufficient to fully assess the impact of the environment on the ball's trajectory. Parameters such as temperature, humidity, and dew point alter air density, thus affecting the ball's flight path. Supplementing this data allows for more accurate environmental analysis. Simultaneously, the user's stress level and physiological fatigue directly affect swing stability and decision-making. The original detection module 301 lacked monitoring of psychological state and deeper physiological indicators. The addition of a skin conductivity sensor enables comprehensive capture of human body conditions, allowing AI suggestions to be both aligned with the venue environment and tailored to the user's individual state.

[0067] Furthermore, the design aims to achieve a deep correlation between environmental and human body data, breaking down the fragmentation of single-dimensional data. The temperature and humidity sensor inside the frame 100 collects surface data and links it with environmental data from the wind speed module to generate a ball-hitting environment impact coefficient. This transforms abstract environmental parameters into directly quantifiable indicators, solving the problem of users struggling to quickly assess the comprehensive impact of the environment. Simultaneously, data from the skin conductivity sensor is integrated with existing health and exercise posture data to accurately determine the cause of fluctuations in the user's condition—whether it's due to environmental discomfort or psychological stress—providing more precise evidence for subsequent alerts and suggestions, meeting the need for refined data support in sports.

[0068] The combination of a miniature ultrasonic anemometer and a temperature sensor ensures stable accuracy in wind speed and direction measurements under varying temperature and humidity conditions. This is particularly suitable for outdoor sports in environments with variable conditions, avoiding data deviations caused by environmental interference and providing a reliable basis for predicting ball trajectories. The integrated skin conductivity sensor allows the device to not only monitor physiological health but also sense the user's stress level. When excessive stress is detected, the speaker 302 can remind the user to adjust their breathing and slow down their pace, helping to stabilize their mindset and improve stability. Heart rate variability data can also provide early warnings of excessive fatigue, reducing the risk of sports injuries.

[0069] The collaborative operation of the temperature and humidity detection unit inside the frame 100 and the wind speed testing module 103 generates an environmental impact coefficient that can intuitively quantify the impact of the environment on movement. For example, in high-temperature and high-humidity environments, the air density is high, requiring an appropriate increase in force, while in low-temperature and dry environments, the tilt angle needs to be adjusted. This allows users to quickly adapt to environmental changes without relying on experience. Meanwhile, the rational layout of multiple sensors ensures functional expansion without compromising the device's portability and wearing comfort. The miniaturized sensors are integrated into the frame 100 and temples 300, without increasing the device's size or weight.

[0070] The core purpose of this design is to compensate for the insufficient dimensions of environmental perception in existing assistive devices, making environmental parameter collection more closely aligned with actual sports needs, and simultaneously achieving a deep correlation between environmental data and ball-striking assistance. Traditional sports environment monitoring often only focuses on basic parameters such as wind speed and direction, neglecting the impact of body surface temperature and humidity and environmental dew point on sports performance and user condition, resulting in incomplete environmental analysis and difficulty in supporting accurate decision-making. By placing the temperature and humidity sensor 104 inside the frame, it can capture the user's body surface temperature and humidity at close range, and simultaneously derive dew point data from the ambient temperature and humidity, supplementing key environmental dimensions and providing a more complete input for subsequent data fusion.

[0071] The design also aims to establish a link between environmental parameters and user experience. Dew point data accurately reflects the humidity level of the air, directly affecting air density and the ball's drag during flight, while body surface temperature and humidity reflect the user's comfort level and perspiration in the current environment. These data, when existing alone, have no practical auxiliary significance. By linking with the data from the wind speed testing module 103, a quantified environmental impact coefficient is generated, transforming abstract environmental parameters into a directly guiding reference, solving the problem that users cannot easily assess the comprehensive impact of the environment based solely on experience.

[0072] Meanwhile, this design also aims to provide the AI ​​processing unit with more accurate environmental and human body correlation data, helping to distinguish the causes of user state fluctuations. During exercise, a decrease in user movement stability may stem from psychological stress or physical reactions caused by discomfort in skin temperature and humidity. The fusion of skin surface data collected by sensor 104 with pressure data and movement posture data from the skin conductivity sensor allows AI to more accurately determine the root cause of state fluctuations, thereby providing more targeted suggestions and avoiding assistance failures due to misjudgment.

[0073] The temperature and humidity detection unit 104 is installed close to the face, avoiding interference from external airflow and accurately collecting the temperature and humidity of the body surface. When abnormal temperature and humidity are detected, and the user is judged to be at risk of feeling stuffy or cold in combination with the environmental dew point, a reminder can be issued through the speaker to help the user adjust their clothing or rest rhythm, avoid affecting the swing state due to environmental discomfort, and reduce the risk of injury caused by physical discomfort during exercise, thus taking into account both athletic performance and health and safety.

[0074] The temperature and humidity detection unit 104 is integrated inside the frame, making full use of the frame's unused space. This eliminates the need for additional device size expansion and does not alter the glasses' center of gravity, maintaining portability and comfort, and adapting to the needs of continuous movement and extended wear during exercise. The data it collects is transmitted collaboratively with the wind speed testing module, requiring no additional data link and not increasing device power consumption or computational burden, thus ensuring overall device stability and battery life.

[0075] Previously, recommendations based solely on wind speed and direction data were prone to inaccuracies due to neglecting the influence of temperature, humidity, and dew point. However, by integrating data from the temperature and humidity detection unit 104, AI can comprehensively assess multiple factors such as air density, flight drag, and environmental interference with the player's condition, providing more targeted suggestions for adjusting the shot angle and power. Whether for amateur enthusiasts dealing with complex playing conditions or professional players adapting to changing weather during competitions, this accurate data can improve shot success rates, further enhancing the equipment's practical value.

[0076] From an overall collaborative perspective, the data collected by the newly added sensors is deeply integrated with the data from the original modules, making the strategies generated by the AI ​​processing unit more targeted and practical. This considers both the environmental influence on the ball's trajectory and the constraints imposed by the user's condition on their actions, significantly improving the scientific rigor of the assisted decision-making. For casual enthusiasts, this allows for a quick understanding of the relationship between the environment and their own condition, improving their athletic performance. For professional athletes, the refined, multi-dimensional data helps them optimize details and adapt to the demands of competition under different venue and environmental conditions, further expanding the equipment's applicability and practical value.

[0077] The speaker 302 supports voice interaction and can broadcast AI analysis results, navigation instructions, and user health alerts.

[0078] The temples of the 300 have a built-in wireless communication module, which supports connection with mobile terminals or sports field positioning systems to achieve real-time map updates, event data synchronization, and remote expert guidance.

[0079] Specifically, the core principle of this design is based on the needs for contactless interaction during movement, real-time data synchronization, and remote support. Utilizing audio transmission and wireless communication technologies, it achieves efficient interaction between the device and the user, and between the device and external systems. The speaker 302 is mounted at the bend of the temple 300, its position conforming to the ear contour to shorten the audio propagation distance and reduce environmental noise interference. Simultaneously, relying on a built-in audio decoding module, it receives digital signals transmitted by the AI ​​processing unit and converts them into clear speech. Its voice interaction function is achieved through bidirectional signal transmission, capable of both broadcasting preset information and receiving simple voice commands from the user. The voice recognition algorithm parses the request and provides corresponding feedback, allowing interaction to be completed without manually touching the device.

[0080] The temples of the 300 feature a built-in wireless communication module that employs a dual-mode communication protocol combining low-power Bluetooth and Wi-Fi, balancing connection stability and battery life. It automatically switches communication modes based on usage scenarios. When connected to a mobile device, Bluetooth enables short-range data interaction, with transmission rates adapted to real-time synchronization of lightweight information such as maps and event data. When connected to a sports field positioning system, it switches to Wi-Fi mode for wider coverage and faster transmission speeds, accurately receiving real-time location data, map update packages, and remotely transmitted voice guidance signals. The module incorporates a signal enhancement chip to resist interference from complex outdoor environments, ensuring a stable connection even in forested or hilly areas, achieving uninterrupted data transmission.

[0081] The primary design objective is to resolve the conflict between manual operation of equipment and the rhythm of hitting the ball during sports, freeing up the user's hands and ensuring the continuity of sports movements. For example, in golf, the swing and putting require extremely high stability of posture. Traditional equipment requires manual button presses to view data and switch functions, which can easily distract attention and interrupt the hitting rhythm. The voice broadcast function of the speaker 302 allows users to focus on the course and their movements while simultaneously obtaining AI analysis results, navigation instructions, and timely health alerts, preventing distractions or missed information from affecting athletic performance and safety.

[0082] The wireless communication module is designed to overcome the limitations of standalone device operation, enabling multi-dimensional data exchange and functional expansion. Standalone devices rely solely on built-in data for assistance, unable to update field maps in real time, synchronize event dynamics, or access external professional guidance. By connecting to mobile terminals and stadium positioning systems, the device can access a broader data network, allowing auxiliary functions to cover all scenarios from daily practice to professional competitions. Simultaneously, the data synchronization function enables the retention and review of sports data, providing a basis for users to optimize movements and adjust strategies, meeting the data accumulation needs of users at different skill levels.

[0083] The speaker 302's voice broadcast is precisely adapted to outdoor sports scenarios. Its ear-fitting installation ensures clear and intelligible voice communication, effectively blocking noise interference even in windy conditions. AI analysis results are broadcast simultaneously with hitting strategies, helping users quickly receive key information and adjust their movements. Health alerts promptly remind users of abnormal heart rates, excessive fatigue, and other conditions, balancing athletic performance with health and safety. Simple voice command interaction further reduces operational difficulty, making it suitable for quickly switching functions and querying information during exercise, significantly enhancing the user experience.

[0084] The dual-mode design of the wireless communication module balances practicality and battery life. Low-power Bluetooth mode reduces power consumption, suitable for extended workouts, while Wi-Fi mode ensures stable signal for location tracking and remote guidance. Real-time map updates accurately display the locations of obstacles and green boundaries, preventing errors due to unfamiliarity with the course. Real-time tournament data synchronization pushes scores, schedules, and other information to suit tournament participation scenarios. Remote expert guidance allows users to receive real-time voice coaching from professionals during practice or competition, enabling targeted swing optimization and strategy adjustments to improve performance.

[0085] From an overall collaborative perspective, the speaker 302 and the wireless communication module complement each other. External data transmitted by the wireless module can be broadcast in voice form through the speaker 302, avoiding the need for users to frequently check the terminal device and further enhancing the contactless interaction experience. The built-in module design does not affect the portability and wearing comfort of the device, eliminating the need for additional communication accessories and adapting to the needs of scenarios where sports are conducted entirely on the move. At the same time, the combination of dual-mode communication and voice interaction allows the device to have both the independence of standalone use and the flexibility of network expansion, making it suitable for various scenarios such as daily practice for ordinary enthusiasts and competition preparation for professional athletes, greatly expanding the practical value and scope of application of the device.

[0086] The following uses golf as an example to illustrate its operation: After the user starts the device while wearing the glasses, each functional module simultaneously completes initialization and self-testing. The wireless communication module built into the temple 300 automatically scans for available signals in the surrounding area, prioritizing the establishment of a Bluetooth connection with the user's bound mobile terminal. Simultaneously, it attempts to connect to the golf course's positioning system. If the course has Wi-Fi coverage, it automatically switches to Wi-Fi mode to ensure the stability of positioning and data transmission. After initialization, the device enters standby mode, with each sensor operating in a low-power mode, maintaining only basic sensing capabilities while balancing battery life and real-time response requirements.

[0087] When the user prepares to hit the ball and aims at the target through the crosshair on the lens 200, the crosshair and camera 102 immediately activate in tandem. The crosshair or laser pointer provides a clear aiming reference for the camera 102. The camera 102 focuses on the area covered by the crosshair to acquire visual images, simultaneously completing target locking and image feature extraction. At the same time, the millimeter-wave radar on the front of the lens frame 100 starts working, emitting millimeter-wave signals towards the target and surrounding area, accurately capturing depth information such as target distance and obstacle position. This information, along with the two-dimensional visual data acquired by the camera 102, is transmitted synchronously to the AI ​​processing unit to complete spatiotemporal calibration and data alignment.

[0088] While the target is being aimed and the distance is being measured, various environmental and human perception modules simultaneously collect data. The wind speed testing module 103 on the side of the frame 100 calculates wind speed and direction using a miniature ultrasonic anemometer, and obtains ambient temperature and humidity using a temperature sensor. The temperature and humidity sensor on the inside of the frame 100 is close to the face, collects surface temperature and humidity, and combines it with environmental parameters to calculate the dew point temperature using the Magnus-Tetens formula. This environmental data is then aggregated to the AI ​​processing unit. The detection module 301 on the temple 300 is activated simultaneously. The photoelectric sensor, accelerometer, gyroscope, and skin conductivity sensor work together to collect the user's heart rate, blood pressure, blood oxygen, movement posture, heart rate variability, and stress index in real time. Through a multi-sensor fusion algorithm, interference is filtered out, and accurate human body status data is output.

[0089] The AI ​​processing unit receives multi-source data from ranging radar 101, camera 102, and various sensors, and performs deep fusion calculations. Based on the calibration results of millimeter-wave radar and visual data, a 3D model of the course is constructed to accurately identify obstacle locations and reconstruct the green slope. Combining environmental parameters such as wind speed, temperature, humidity, and dew point, a pre-set algorithm generates a hitting environment impact coefficient to quantify the comprehensive effect of the environment on the ball trajectory. Then, incorporating the user's physical condition and stress index, and combining professional golf algorithms, suggestions for adjusting the hitting elevation angle, power, and ball trajectory, as well as environmental response solutions, are derived to suit the current scenario.

[0090] Once the AI ​​analysis results are generated, they are immediately synchronized to the waveguide module embedded in the lens 200 and the speaker 302 in the temple 300. The waveguide module uses holographic projection to overlay information such as target distance, wind speed and direction, green slope, and shot suggestions onto the field of view of the lens 200, accurately matching the real-world field scene and ensuring that users can obtain key data without shifting their gaze. The speaker 302 simultaneously broadcasts the core analysis results in clear voice. If it detects abnormal heart rate, high stress levels, or insufficient blood oxygen, it will prioritize broadcasting health warning information to remind the user to adjust their condition. If the user queries details via voice command, the voice interaction function of the speaker 302 receives and interprets the command, providing corresponding supplementary information, all without requiring manual operation.

[0091] After the shot, the device continuously collects the user's motion posture data, capturing the body's balance state after the swing using accelerometers and gyroscopes. Combined with changes in health data before and after the shot, it generates a brief motion adaptability assessment, which is simultaneously transmitted to the paired mobile terminal. The wireless communication module synchronizes event data, shot records, and body condition curves in real time, enabling data retention and review. If the user activates the remote expert guidance function, the real-time collected visual data, environmental data, and shot motion data can be transmitted to a remote expert. The expert's guidance and suggestions are broadcast in real time through speaker 302, helping the user adjust subsequent movements.

[0092] As the user moves to the next shot point, the device switches to motion monitoring mode. The millimeter-wave radar and camera 102 work intermittently to assist in positioning and update the course environment information. The optical waveguide module simultaneously refreshes the real-time map, marking obstacles and green locations. The detection module 301 continuously monitors the user's heart rate, pace, and other data, and, combined with body surface temperature, humidity, and environmental parameters, determines the user's fatigue level. The wireless communication module maintains a constant connection with the external system, dynamically updating course data and navigation instructions to ensure continuous support for the user throughout the process, until the user turns off the device or the device enters sleep mode due to prolonged inactivity.

[0093] It should be noted that, in this document, relational terms such as "first" and "second" are used only to distinguish one entity or operation from another, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Furthermore, the terms "comprising," "including," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such process, method, article, or apparatus.

[0094] Although embodiments of the invention have been shown and described, it will be understood by those skilled in the art that various changes, modifications, substitutions and alterations can be made to these embodiments without departing from the principles and spirit of the invention.

Claims

1. A multi-functional AI glasses for sports ranging, comprising a frame (100), lenses (200), and temples (300), characterized in that: The front of the mirror frame (100) is integrated with a ranging radar (101) and a camera (102), the side of the mirror frame (100) is provided with a wind speed testing module (103), and the inside of the mirror frame (100) is provided with a temperature and humidity detection unit (104). The lens (200) has a crosshair on its surface that can be aimed at the target object, and an embedded optical waveguide module for dynamically displaying ranging data, environmental parameters and AI analysis content. A detection module (301) is fixed on the outer side of the temple (300) for real-time monitoring of the user's heart rate, blood pressure, blood oxygen saturation and exercise status parameters. A speaker (302) is installed at the bend of the temple (300). The frame (100) has a built-in AI processing unit that is connected to the ranging radar (101), camera (102), wind speed test module (103), temperature and humidity detection unit (104), detection module (301) and optical waveguide module for fusing multi-source data and generating moving target elevation angle, slope, distance and environmental suggestions.

2. The multi-functional AI glasses for motion ranging according to claim 1, characterized in that: The detection module (301) includes a photoelectric sensor, an accelerometer and a gyroscope, and calculates the user's motion posture and health indicators in real time through a multi-sensor fusion algorithm.

3. The multi-functional AI glasses for motion ranging according to claim 2, characterized in that: The crosshair on the lens (200) is a crosshair or a laser pointer mark, which works in conjunction with the camera (102) to achieve target locking and image recognition.

4. The multi-functional AI glasses for motion ranging according to claim 3, characterized in that: The optical waveguide module supports a holographic projection display mode, which superimposes the target distance of the ranging radar (101), the wind speed and direction of the wind speed test module (103), and the motion strategy generated by AI onto the field of view of the lens (200).

5. The multi-functional AI glasses for motion ranging according to claim 4, characterized in that: The ranging radar (101) is a millimeter-wave radar. The visual data from the camera (102) is spatiotemporally calibrated through an AI processing unit to achieve three-dimensional positioning of obstacles and green slope modeling.

6. The multi-functional AI glasses for motion ranging according to claim 5, characterized in that: The wind speed testing module (103) includes a miniature ultrasonic anemometer and a temperature sensor, used to collect wind speed, wind direction and ambient temperature and humidity data in real time.

7. The multi-functional AI glasses for motion ranging according to claim 1, characterized in that: The detection module (301) of the temple (300) further integrates a skin conductance sensor for obtaining the user's heart rate variability and stress index through contact measurement.

8. The multi-functional AI glasses for motion ranging according to claim 1, characterized in that: The temperature and humidity detection unit (104) is used to detect the user's body surface temperature and humidity and environmental dew point data, and outputs the impact coefficient of the ball hitting environment in conjunction with the wind speed test module (103).

9. The multi-functional AI glasses for motion ranging according to claim 1, characterized in that: The speaker (302) supports voice interaction and can broadcast AI analysis results, navigation instructions and user health alerts.

10. The multi-functional AI glasses for motion ranging according to claim 9, characterized in that: The temple (300) has a built-in wireless communication module that supports connection with mobile terminals or sports field positioning systems to achieve real-time map updates, event data synchronization, and remote expert guidance.

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