A light therapy physiotherapy instrument control system supporting human-computer interaction

Abstract

The application relates to the technical field of physiotherapy instrument control, and discloses a light therapy physiotherapy instrument control system supporting human-computer interaction, which comprises a camera, a control center, a light therapy early warning module and an interaction module.

Description

Technical Field

[0001] This application relates to the technical field of physiotherapy device control, and in particular to a phototherapy physiotherapy device control system that supports human-computer interaction. Background Technology

[0002] Phototherapy devices are commonly used adjunctive treatments in rehabilitation, dermatology, and pain management departments. Their core principle is based on the synergistic effect of non-thermal and thermal effects: by emitting light of different wavelengths, they activate human cells and their biomolecules to resonate and absorb light, thereby enhancing tissue repair capabilities; at the same time, the thermal effect can penetrate the epidermal tissue, improve local blood circulation, relieve muscle spasms, and regulate immune function.

[0003] During the operation of a physiotherapy device, the interaction between the user and the device is crucial for the correct use and user experience. Existing physiotherapy device interaction systems mainly achieve this through a display screen, which displays various information to the user and obtains the user's input parameters, thereby enabling the control of the physiotherapy device.

[0004] While existing interactive systems for physiotherapy devices can facilitate interaction between users and the device, they lack immersion and fail to provide optimal guidance. Therefore, improving the immersion and guidance of the interactive process in physiotherapy devices is the fundamental problem this invention aims to solve. Summary of the Invention

[0005] To enhance the immersive experience and guidance during the interaction with the physiotherapy device, this application provides a phototherapy physiotherapy device control system that supports human-computer interaction, employing the following technical solution: A phototherapy control system supporting human-computer interaction includes: The camera system consists of several sets, used to acquire image information of the physiotherapy area; The control center is used to identify the image information of the physiotherapy area and obtain human body position information; based on the human body position information, it issues posture adjustment instructions and mode selection instructions, and issues execution instructions based on user input information; The phototherapy early warning module is used to issue early warnings for the phototherapy process based on human body location information and phototherapy process control parameters, and to issue phototherapy early warning information when the warning result is high risk; The interaction module includes a voice recognition module, a manual controller, a display screen, and AI glasses. The display screen and AI glasses are used to show users posture adjustment instructions, mode selection instructions, and phototherapy warning information. The voice recognition module and manual controller are used to acquire user input information. The physiotherapy execution module is used to execute the commands issued by the control center.

[0006] By employing the aforementioned technical solution, AI glasses are added to the conventional voice recognition module, manual controller, and display screen to facilitate interaction. These AI glasses provide directional guidance based on the specific location of the user's body parts, enhancing user immersion and the accuracy of guidance during the physiotherapy process. They can intuitively display the direction and approximate adjustment amount for the user's body, further improving the immersion of the interaction and the accuracy and intuitiveness of the displayed content. The phototherapy process is monitored and controlled using parameters to provide early warnings. If a risk of adverse effects on the user is detected during phototherapy, a warning message is issued, and the process is stopped, ensuring the safety of the phototherapy treatment.

[0007] Optionally, the process of issuing attitude adjustment commands includes: The body's physical therapy parts are identified based on the body's position information. The identified contours of the physical therapy parts are compared with the corresponding standard contours of the physical therapy area. Based on the comparison results, it is determined whether to issue a posture adjustment command. The location comparison process includes: The center point A (x1, y1) of the contour of the human body physiotherapy area and the center point B (x2, y2) of the standard contour of the physiotherapy area are obtained respectively. The absolute values ​​of the difference between x1 and x2 and the absolute values ​​of the difference between y1 and y2 are compared with the corresponding thresholds. When there is an absolute value of the difference that is greater than or equal to the corresponding threshold, a posture adjustment command is issued, and a position adjustment illustration animation is generated based on the position of center point A relative to center point B.

[0008] Through the above technical solution, the device can issue posture adjustment commands to the left, right, forward, or backward based on the position of the center point A (x1, y1) of the human body's physiotherapy area contour relative to the center point B (x2, y2) of the corresponding standard contour of the physiotherapy area. At the same time, relying on AI glasses, it can intuitively show the user the direction and approximate amount of human body adjustment, thereby improving the user's immersive interaction with the physiotherapy device and the accuracy and intuitiveness of the content display.

[0009] Optionally, the process of issuing the mode selection instruction includes: When it is determined from the comparison results that no posture adjustment command should be issued, the mode selection command is displayed on the display screen and the AI ​​glasses respectively; When displaying mode selection instructions on the AI ​​glasses, the AI ​​glasses identify the physiotherapy area and display illustrative animations of different modes in the physiotherapy area.

[0010] The above technical solution can more accurately display the physiotherapy content corresponding to the physiotherapy mode.

[0011] Optionally, the phototherapy process control parameters include light wavelength, light intensity, and irradiation time; The process of providing early warnings during phototherapy includes: The system identifies the body parts to be treated in real time, calculates the cumulative phototherapy coefficient for each body part based on the phototherapy process control parameters, and issues warnings based on the magnitude of the cumulative phototherapy coefficient.

[0012] The above technical solution can provide early warnings for the phototherapy process based on human body location information and phototherapy process control parameters, and issue phototherapy warning information when the warning result is high risk.

[0013] Optionally, the calculation process of the cumulative phototherapy coefficient includes: The physiotherapy process is divided into n time periods based on the range of light wavelengths, and the corresponding influence coefficient is determined based on the range of light wavelengths in each time period. Obtain the real-time light intensity for each time period; Through mathematical models Calculate the cumulative phototherapy coefficient at the current time point. The cumulative phototherapy coefficient Compare with the warning value, and determine whether to issue a warning based on the comparison result; In the mathematical model, n represents the number of time periods, n-1 represents the number of time periods preceding the current time period, and j∈[1, n-1]. Let be the influence coefficient for the j-th time period. , These are the start and end times of the j-th time period, respectively. Let J be the real-time light intensity for the j-th time period. The influence coefficient for the current period. Let t be the starting time of the time period in which the current time point is located, and t be the current time point. This represents the real-time light intensity for the current time period. This is the starting point for physical therapy. The attenuation coefficient is the effect of phototherapy.

[0014] Through the above technical solution and the calculation process of the cumulative phototherapy coefficient, it is possible to determine the degree of impact of phototherapy on the corresponding user based on the magnitude of the cumulative phototherapy coefficient.

[0015] Optionally, the cumulative phototherapy coefficient will be... The process of comparing with the warning value includes: Calculate the warning value and cumulative phototherapy coefficient The system calculates the real-time difference and obtains the corresponding difference threshold based on the user's input information. When the real-time difference is less than the difference threshold, an alert is issued.

[0016] By using the above technical solution, the difference threshold is determined based on the skin condition level in the user's input information, which can provide an adaptive early warning strategy according to each user's condition and improve the safety of the phototherapy process.

[0017] Optionally, the process of identifying the imaging information of the physiotherapy area includes: Frame images are extracted from the image information, and a human detection model is established based on the YOLO detection algorithm. The human detection model is then used to identify the human position information in the frame images.

[0018] The above technical solution enables the identification of human body location information.

[0019] Optionally, the process of identifying body therapy sites includes: Image samples are acquired, preprocessed, and labeled. The labeled image samples are then trained using Faster R-CNN to obtain a physiotherapy site recognition model. This model is used to identify the location information of the human body and thus obtain the physiotherapy site.

[0020] The above technical solution enables accurate identification of the physiotherapy area.

[0021] In summary, this application includes at least one of the following beneficial technical effects: The interactive module in this invention adds AI glasses to the conventional voice recognition module, manual controller, and display screen to facilitate interaction. The AI ​​glasses provide directional guidance based on the specific location of the user's body parts, improving user immersion and the accuracy of guidance during the use of the physiotherapy device. It can intuitively display the direction and approximate adjustment amount of the body to the user, thereby enhancing the immersion of the interaction with the physiotherapy device and the accuracy and intuitiveness of the content displayed. The phototherapy process is monitored and warned of potential adverse effects on the user through phototherapy process control parameters. When a risk of adverse effects on the user is detected during phototherapy, a warning message is issued, and the phototherapy process is stopped, ensuring the safety of the phototherapy physiotherapy process. Attached Figure Description

[0022] Figure 1 This is a logical schematic diagram of the control system of the phototherapy device that supports human-computer interaction in this invention. Detailed Implementation

[0023] The embodiments of this application are described in detail below, and examples of the embodiments are shown in the accompanying drawings.

[0024] In the description of this specification, the references to "certain embodiments," "one embodiment," "some embodiments," "illustrative embodiment," "example," "specific example," or "some examples" refer to specific features, structures, materials, or characteristics described in connection with the described embodiment or example, which are included in at least one embodiment or example of this application. In this specification, the illustrative expressions of the above terms do not necessarily refer to the same embodiment or example. Furthermore, the specific features, structures, materials, or characteristics described may be combined in any suitable manner in one or more embodiments or examples.

[0025] This application discloses a control system for a phototherapy device that supports human-computer interaction, referring to... Figure 1 The device includes several sets of cameras, an interaction module, a therapy execution module, a control center, and a phototherapy warning module mounted on the phototherapy device. The therapy execution module executes commands issued by the control center and includes execution units such as light modules, thermotherapy, magnetotherapy, and massage. The interaction module includes a voice recognition module, a manual controller, a display screen, and AI glasses. The display screen and AI glasses display posture adjustment commands, mode selection commands, and phototherapy warning information to the user. The voice recognition module and manual controller acquire user input. In this embodiment, the interaction module adds AI glasses to the conventional voice recognition module, manual controller, and display screen to enable interaction. The AI ​​glasses provide directional guidance based on the specific location of the user's body parts, improving the user's immersion and the accuracy of guidance during use.

[0026] In this embodiment, the control system first acquires image information of the physiotherapy area through several sets of cameras during operation. The control center then identifies the image information of the physiotherapy area to obtain human body position information. The process of identifying the image information of the physiotherapy area includes: extracting frame images from the image information, establishing a human body detection model based on the YOLO detection algorithm (this process is implemented using existing target detection algorithms), and identifying the human body position information in the frame images through the human body detection model. This allows for the preliminary division of the human body region in the image. Therefore, when adjusting posture or introducing modes, the corresponding content can be displayed based on the divided human body position information.

[0027] Before physical therapy, the system issues posture adjustment and mode selection commands based on the body's position information, and executes commands based on user input. The posture adjustment command issuance process includes: identifying the body's physical therapy area based on its position information. This process requires relatively accurate content recognition; therefore, this embodiment establishes a physical therapy area recognition model, first acquiring image samples, preprocessing and labeling them, and then using Faster... R-CNN is trained on labeled image samples to obtain a physiotherapy site recognition model. The specific steps of the above training process are routine steps in machine training and will not be detailed here. The physiotherapy site recognition model identifies human body position information, thereby obtaining the human physiotherapy site in the image. Based on this, this embodiment compares the identified contour of the human physiotherapy site with the corresponding standard contour of the physiotherapy area, and determines whether to issue a posture adjustment command based on the comparison result. The position comparison process includes: obtaining the center point A (x1, y1) of the human physiotherapy site contour and the center point B (x2, y2) of the corresponding standard contour of the physiotherapy area; comparing the absolute values ​​of the differences between x1 and x2 and y1 and y2 with corresponding thresholds. The corresponding thresholds are set according to the allowable error between the human physiotherapy site and the physiotherapy area during the physiotherapy process. Therefore, when the absolute value of the difference between x1 and x2 is less than the allowable error, the threshold is set accordingly. When the absolute value of the difference between y1 and y2 is less than the corresponding threshold, it means that no position adjustment is needed, and no posture adjustment command is issued. Conversely, when there is an absolute value of the difference greater than or equal to the corresponding threshold, a posture adjustment command is issued, and a position adjustment illustration animation is generated based on the position of center point A relative to center point B. Taking the center point B (x2, y2) of the standard contour corresponding to the physiotherapy area as a reference, when it is determined that a posture adjustment command needs to be issued based on the center point A (x1, y1) of the contour of the human body physiotherapy area, a posture adjustment command to the left, right, forward, or backward is issued based on the position of the center point A (x1, y1) of the contour of the human body physiotherapy area relative to the center point B (x2, y2) of the standard contour corresponding to the physiotherapy area. At the same time, relying on AI glasses, the direction and approximate amount of human body adjustment can be intuitively displayed to the user, thereby improving the immersive experience of the user's interaction with the physiotherapy device and the accuracy and intuitiveness of the content display.

[0028] In addition, when it is determined from the comparison results that no posture adjustment command is issued, the mode selection command is displayed on the display screen and the AI ​​glasses respectively. When the mode selection command is displayed on the AI ​​glasses, the AI ​​glasses identify the physiotherapy area and display the illustrative animation of different modes in the physiotherapy area. In this process, the recognition of the physiotherapy area by the AI ​​glasses also uses the physiotherapy area recognition model obtained through training. The difference is that the recognized image information comes from the content captured by the AI ​​glasses' built-in camera. The illustrative animation is prepared in advance and displayed when the physiotherapy area is recognized. Through the above process, the physiotherapy content corresponding to the physiotherapy mode can be displayed more accurately.

[0029] In one embodiment, the system also includes a phototherapy early warning module. During the operation of the phototherapy device, the phototherapy early warning module provides early warnings based on the human body's location information and phototherapy process control parameters. When the warning result indicates a high risk, a phototherapy early warning message is issued. Since excessively long phototherapy time or excessively high phototherapy intensity can have certain adverse effects on the human body, although the various modes built into the physiotherapy device limit the duration and intensity of phototherapy, they cannot prevent users from using multiple modes in combination. Therefore, this embodiment provides early warnings for the phototherapy process through phototherapy process control parameters. When it is determined that the phototherapy process poses a risk of adverse effects on the user, a phototherapy early warning message is issued, and the phototherapy process is stopped, thereby ensuring the safety of the phototherapy process. In this embodiment, the phototherapy process control parameters include light wavelength, light intensity, and irradiation time. The process of providing early warning for the phototherapy process includes: firstly, real-time identification of the treatment area on the body, achieved through a trained treatment area identification model; then, calculating the cumulative phototherapy coefficient for each treatment area based on the phototherapy process control parameters; and providing early warning based on the magnitude of the cumulative phototherapy coefficient. Continuous monitoring of the same treatment area on the body helps prevent overtreatment of individual body parts. The calculation process of the cumulative phototherapy coefficient includes: firstly, dividing the treatment process into n time periods based on the range of light wavelengths; determining the corresponding influence coefficient based on the range of light wavelengths in each time period; then obtaining the real-time light intensity for each time period; and finally, using a mathematical model... Calculate the cumulative phototherapy coefficient at the current time point. Since the cumulative phototherapy coefficient is real-time, the time period at the current point in time is dynamic. Therefore, the cumulative phototherapy coefficient... The mathematical model is divided into three parts, the first part... This represents the cumulative phototherapy dose status for the time periods preceding the current time point, where n is the number of time periods, n-1 is the number of time periods preceding the current time point, and j∈[1, n-1]. Let be the influence coefficient for the j-th time period. , These are the start and end times of the j-th time period, respectively. Let be the real-time light intensity for the j-th time period. Since different wavelengths of light have varying degrees of impact on the human body, influence coefficients are assigned to different wavelengths based on empirical data to improve the accuracy of the judgment. Therefore, through the first part... It can determine the cumulative phototherapy dose in the time period preceding the current time point; Part Two This represents the cumulative phototherapy dose status for the current time period, where... The influence coefficient for the current period. Let t be the starting time of the time period in which the current time point is located, and t be the current time point. The real-time light intensity for the current time period; Part Three This refers to the natural decay of the cumulative phototherapy dose during the physiotherapy process, where... This is the starting point for physical therapy. This is the phototherapy effect attenuation coefficient, which is set based on empirical test data. It should be noted that this phototherapy effect attenuation coefficient is an approximate value; it is calculated by accumulating the phototherapy effect coefficient. The calculation process allows for the accumulation of phototherapy coefficients. The magnitude of the phototherapy coefficient is used to determine the degree of impact on the corresponding user; the cumulative phototherapy coefficient is used to determine the impact of phototherapy on the user. The results are compared with the warning value, which is set based on empirical data. The warning value and the cumulative phototherapy coefficient are then calculated. The real-time difference is obtained by acquiring the difference threshold according to the user's input information. This process is determined based on the skin condition level in the user's input information. In this embodiment, several sets of difference thresholds are set, and each difference threshold corresponds to each skin condition level. Therefore, when the real-time difference is less than the difference threshold, an early warning is issued. This can provide an adaptive early warning strategy based on each user's condition, thereby improving the safety of the phototherapy process.

[0030] Although embodiments of this application have been shown and described above, it is understood that the above embodiments are exemplary and should not be construed as limiting this application. Those skilled in the art can make changes, modifications, substitutions and variations to the above embodiments within the scope of this application.

Claims

1. A control system for a phototherapy device supporting human-computer interaction, characterized in that, include: Several sets of cameras are set up to acquire image information of the physiotherapy area; The control center is used to identify the image information of the physiotherapy area and obtain human body position information; based on the human body position information, it issues posture adjustment instructions and mode selection instructions, and issues execution instructions based on user input information; The phototherapy early warning module is used to issue early warnings for the phototherapy process based on human body location information and phototherapy process control parameters, and to issue phototherapy early warning information when the warning result is high risk; The interaction module includes a voice recognition module, a manual controller, a display screen, and AI glasses. The display screen and AI glasses are used to show users posture adjustment instructions, mode selection instructions, and phototherapy warning information. The voice recognition module and manual controller are used to acquire user input information. The physiotherapy execution module is used to execute the commands issued by the control center.

2. The control system for a phototherapy device supporting human-computer interaction according to claim 1, characterized in that, The process of issuing attitude adjustment commands includes: The body's physical therapy parts are identified based on the body's position information. The identified contours of the physical therapy parts are compared with the corresponding standard contours of the physical therapy area. Based on the comparison results, it is determined whether to issue a posture adjustment command. The location comparison process includes: The center point A (x1, y1) of the contour of the human body physiotherapy area and the center point B (x2, y2) of the standard contour of the physiotherapy area are obtained respectively. The absolute values ​​of the difference between x1 and x2 and the absolute values ​​of the difference between y1 and y2 are compared with the corresponding thresholds. When there is an absolute value of the difference that is greater than or equal to the corresponding threshold, a posture adjustment command is issued, and a position adjustment illustration animation is generated based on the position of center point A relative to center point B.

3. The control system for a phototherapy device supporting human-computer interaction according to claim 1, characterized in that, The process of issuing the mode selection command includes: When it is determined from the comparison results that no posture adjustment command should be issued, the mode selection command is displayed on the display screen and the AI ​​glasses respectively; When displaying mode selection instructions on the AI ​​glasses, the AI ​​glasses identify the physiotherapy area and display illustrative animations of different modes in the physiotherapy area.

4. The control system for a phototherapy device supporting human-computer interaction according to claim 1, characterized in that, The phototherapy process control parameters include light wavelength, light intensity, and irradiation time; The process of providing early warnings during phototherapy includes: The system identifies the body parts to be treated in real time, calculates the cumulative phototherapy coefficient for each body part based on the phototherapy process control parameters, and issues warnings based on the magnitude of the cumulative phototherapy coefficient.

5. A phototherapy control system for a phototherapy device supporting human-computer interaction according to claim 4, characterized in that, The calculation process for the cumulative phototherapy coefficient includes: The physiotherapy process is divided into n time periods based on the range of light wavelengths, and the corresponding influence coefficient is determined based on the range of light wavelengths in each time period. Obtain the real-time light intensity for each time period; Through mathematical models Calculate the cumulative phototherapy coefficient at the current time point. The cumulative phototherapy coefficient Compare with the warning value, and determine whether to issue a warning based on the comparison result; In the mathematical model, n represents the number of time periods, n-1 represents the number of time periods preceding the current time period, and j∈[1, n-1]. Let be the influence coefficient for the j-th time period. , These are the start and end times of the j-th time period, respectively. Let J be the real-time light intensity for the j-th time period. The influence coefficient for the current period. Let t be the starting time of the time period in which the current time point is located, and t be the current time point. This represents the real-time light intensity for the current time period. This is the starting point for physical therapy. The attenuation coefficient is the effect of phototherapy.

6. A phototherapy control system for a phototherapy device supporting human-computer interaction according to claim 5, characterized in that, Cumulative phototherapy coefficient The process of comparing with the warning value includes: Calculate the warning value and cumulative phototherapy coefficient The system calculates the real-time difference and obtains the corresponding difference threshold based on the user's input information. When the real-time difference is less than the difference threshold, an alert is issued.

7. A phototherapy control system for a phototherapy device supporting human-computer interaction according to claim 1, characterized in that, The process of identifying imaging information of the physiotherapy area includes: Frame images are extracted from the image information, and a human detection model is established based on the YOLO detection algorithm. The human detection model is then used to identify the human position information in the frame images.

8. A phototherapy control system for a phototherapy device supporting human-computer interaction according to claim 2, characterized in that, The process of identifying body therapy areas includes: Image samples are acquired, preprocessed, and labeled. The labeled image samples are then trained using Faster R-CNN to obtain a physiotherapy site recognition model. This model is used to identify the location information of the human body and thus obtain the physiotherapy site.

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