Hand cleaning method capable of preventing bacteria from spreading

Abstract

The invention discloses a hand cleaning method for preventing bacteria spreading, which relates to the technical field of public health, and comprises the following steps: putting both hands into a bacteria detection area of equipment, and marking bacteria distribution through optical projection to carry out bacteria detection; according to a detection result, automatically recommending the amount of the hand sanitizer, and guiding the user to take the recommended amount of the hand sanitizer through light band colors and sound prompts so as to clean palms and hand backs; after the palm and the hand back are cleaned, the color of the light band becomes yellow, the light band dynamically moves to a finger gap area, and a user is prompted to scrub by ten fingers crosswise; the user moves to the fingertip area according to the prompt of the light band, the fingertips are folded on the palm of the other hand for rotating and rubbing, and the fingernail gap area is emphatically cleaned; through combination of light band color change and sound prompt, a user can be guided in real time to complete cleaning of key parts such as palms, finger gaps, thumbs and fingertips, and no omission is ensured.

Description

Technical Field

[0001] The present invention relates to the technical field of public health, and particularly to a hand cleaning method for preventing bacterial transmission. Background Art

[0002] Hand hygiene is one of the key measures for preventing disease transmission. In recent years, with the improvement of public health awareness and the development of technology, various hand cleaning devices and techniques have emerged continuously. Traditional hand cleaning methods mainly rely on personal experience and self-awareness, lacking precise bacterial detection means and dosage guidance, and it is difficult to ensure thorough cleaning. Although existing automatic handwashing devices can improve the cleaning efficiency to a certain extent, they usually only provide a fixed amount of hand sanitizer and fail to make personalized adjustments according to individual differences or the specific conditions of different areas of the hand.

[0003] Although a variety of automatic handwashing devices have appeared on the market, these devices generally have several key limitations: one is the inability to achieve real-time and high-precision monitoring of the bacterial distribution on the hands; the second is the inability to provide a dynamic and personalized cleaning plan based on the detection results; the third is the lack of an effective cleaning effect verification mechanism. These three deficiencies directly restrict the application effect and user experience of existing hand cleaning technologies. Summary of the Invention

[0004] In view of the above existing problems, the present invention is proposed.

[0005] Therefore, the present invention provides a hand cleaning method for preventing bacterial transmission to solve the problem that the existing hand cleaning system cannot provide accurate bacterial detection and personalized cleaning guidance.

[0006] To solve the above technical problems, the present invention provides the following technical solutions:

[0007] In a first aspect, the present invention provides a hand cleaning method for preventing bacterial transmission, which includes,

[0008] Put both hands into the bacterial detection area of the device, and perform bacterial detection by optically projecting and marking the bacterial distribution;

[0009] According to the detection results, automatically recommend the dosage of hand sanitizer, and guide the user to take the recommended dosage of hand sanitizer through the light band color and sound prompts for cleaning the palms and backs of the hands;

[0010] After the palms and backs of the hands are cleaned, the light band color changes to yellow and dynamically moves to the finger gap area to prompt the user to cross the fingers and rub;

[0011] After cleaning the finger gaps, the light band color changes to yellow and moves to the thumb area for rotational cleaning;

[0012] The user moves to the fingertip area according to the light band prompt, closes the fingertips together and rotates and rubs them on the palm of the other hand, with the focus on cleaning the nail gap area;

[0013] After the cleaning is completed, place both hands in the detection area of the device again for a re-examination of bacteria, and the distribution of hand bacteria will be displayed.

[0014] As a preferred embodiment of the hand cleaning method for preventing bacteria transmission according to the present invention, wherein: putting both hands into the bacteria detection area of the device, and performing bacteria detection by optically projecting and marking the bacteria distribution includes the following steps,

[0015] The user naturally opens both hands, palms down, and puts them into the bacteria detection area of the device;

[0016] When the infrared sensor of the device recognizes the hands in the bacteria detection area, it automatically activates the ultraviolet light source to generate fluorescence of a specific wavelength and captures the hand fluorescence image generated by the bacteria;

[0017] The captured hand fluorescence image is processed by an image processing algorithm for standardization, noise removal and background correction;

[0018] Using a convolutional neural network to classify each pixel in the hand fluorescence image into different levels of bacteria density, and according to the classification results, the hand is segmented into multiple regions, and the average density of each region is calculated. The expression is:

[0019]

[0020] Wherein, represents the average bacteria density, i represents the bacteria detection area index, n represents the number of bacteria detection areas, D i represents the bacteria density of the i-th bacteria detection area, A i represents the surface area of the i-th bacteria detection area;

[0021] Based on the average density of each calculated region, create a color gradient palette, redraw the hand image, and replace each pixel point with the corresponding color.

[0022] As a preferred embodiment of the hand cleaning method for preventing bacteria transmission according to the present invention, wherein: automatically recommending the amount of hand sanitizer according to the detection results includes the following steps,

[0023] Based on calculating the average bacteria density of the entire hand surface and combining the requirements of each bacteria detection area, calculate the recommended amount of hand sanitizer. The expression is:

[0024]

[0025] Wherein, V represents the recommended dosage of hand sanitizer, k represents the correction coefficient, α represents the weight factor of the influence degree of the adjustment area on the total amount, and w i represents the importance weight of the i-th area.

[0026] As a preferred embodiment of the hand cleaning method for preventing bacterial transmission according to the present invention, wherein: the user is guided to take the recommended dosage of hand sanitizer through the light band color and sound prompt, and the steps for cleaning the palm and back of the hand include the following

[0027] Based on the calculated recommended dosage of hand sanitizer, the light band surrounding the bacterial detection area transitions from red to blue. At the same time, the metering pump inside the device squeezes the recommended dosage of hand sanitizer to the dispensing port;

[0028] The user is prompted by voice to pick up the hand sanitizer. The user catches the hand sanitizer flowing out of the dispensing port through a non-contact induction mechanism. At the same time, the color of the light band immediately turns yellow and moves dynamically to guide the user to apply the hand sanitizer on the hand;

[0029] When the hand application is completed, the user is guided to scrub the palm and back of the hand in a rotating manner;

[0030] When the scrubbing of the palm and back of the hand is completed, a prompt sound indicating the completion of the palm and back cleaning is emitted.

[0031] As a preferred embodiment of the hand cleaning method for preventing bacterial transmission according to the present invention, wherein: after the cleaning of the palm and back of the hand is completed, the color of the light band turns green and moves dynamically to the finger gap area to prompt the user to cross the fingers and scrub, including the following steps

[0032] When the cleaning of the palm and back of the hand is completed, the color of the light band changes from green to yellow, moves upward along the root of the user's fingers, and stops at the finger gaps, simulating the correct finger-crossing gesture to help the user identify the positions that need to be cleaned;

[0033] Based on the recognition result of the positions that need to be cleaned, the user crosses the fingers of both hands according to the simulation result and starts the finger gap cleaning action;

[0034] After the finger gap cleaning is completed, the color of the light band changes from yellow to green, and at the same time, the device emits a prompt sound indicating the completion of the finger gap cleaning.

[0035] As a preferred embodiment of the hand cleaning method for preventing bacterial transmission according to the present invention, wherein: after the finger gap cleaning is completed, the color of the light band turns yellow and moves to the thumb area for rotational cleaning, including the following steps

[0036] When the user completes the scrubbing of all finger gaps according to the instructions, the color of the light band changes from green to yellow, and a prompt sound for cleaning the thumb area is emitted;

[0037] The yellow light band moves around the base of the thumb to guide the user to rotate and clean the thumb;

[0038] The user places the thumb of one hand on the palm of the other hand according to the instruction, simulates the correct rotation cleaning path, and performs the rotation rubbing action.

[0039] As a preferred embodiment of the hand cleaning method for preventing bacterial transmission according to the present invention, wherein: the user moves to the fingertip area according to the light band prompt, closes the fingertips together on the palm of the other hand and performs rotation rubbing, and focuses on cleaning the nail gap area, including the following steps,

[0040] After the thumb area is cleaned, the light band dynamically moves to the fingertip area, simulating the correct gesture of closing the fingertips together to help the user identify the position that needs to be cleaned;

[0041] The user bends the fingers and closes the fingertips together according to the instruction, and places them on the palm of the other hand to perform the rotation rubbing action;

[0042] After the user completes the cleaning of the fingertips and nail gap area according to the instruction, perform wrist cleaning, rinse with running water, the color of the light band disappears, and a prompt sound for the end of cleaning is emitted.

[0043] As a preferred embodiment of the hand cleaning method for preventing bacterial transmission according to the present invention, wherein: after the cleaning is completed, place the hands in the detection area of the device again for rechecking bacteria, and display the distribution of hand bacteria, including the following steps,

[0044] After the hand cleaning is completed, a voice prompt asks the user to put the hands into the detection area of the device again for rechecking bacteria;

[0045] After the user puts the hands into the detection area of the device again according to the instruction, the ultraviolet light source is automatically activated, and the hands are scanned again to capture the fluorescence image of the hands;

[0046] The device compares the fluorescence image of the cleaned hands with the fluorescence image of the hands before cleaning, and calculates the bacteria reduction rate of each area;

[0047] According to the calculation result, the device provides corresponding feedback according to the change of the light band color;

[0048] When there is still bacteria residue in some areas, the color of the light band becomes orange, guiding the user back to the area that needs to be cleaned repeatedly for re-cleaning;

[0049] When the cleaning effect is good, the color of the light band becomes green, and a prompt sound for the completion of cleaning is emitted.

[0050] In a second aspect, the present invention provides a computer device, including a memory and a processor, where the memory stores a computer program, and: when the computer program is executed by the processor, any step of the hand cleaning method for preventing bacteria transmission as described in the first aspect of the present invention is implemented.

[0051] In a third aspect, the present invention provides a computer-readable storage medium, on which a computer program is stored, and: when the computer program is executed by the processor, any step of the hand cleaning method for preventing bacteria transmission as described in the first aspect of the present invention is implemented.

[0052] The beneficial effects of the present invention are as follows: by using an ultraviolet light source to excite fluorescence of a specific wavelength, capturing a fluorescence image of the hand and performing standardized processing via an image processing algorithm, high-precision detection of the bacteria distribution is ensured; by classifying each pixel in the image through a convolutional neural network and calculating the average bacteria density in different regions, a scientific basis is provided for automatically recommending the dosage of hand sanitizer; the combination of the color change of the light band and the sound prompt can guide the user to complete the cleaning of key parts such as the palm, finger gaps, thumb, and fingertips in real time, ensuring no omission; after the cleaning is completed, a re-examination of bacteria is carried out again, and immediate feedback is provided according to the re-examination results to help the user confirm the cleaning effect and correct deficiencies in a timely manner. Description of the Drawings

[0053] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the following will briefly introduce the drawings required for the description of the embodiments. Obviously, the following drawings are only some embodiments of the present invention. For those of ordinary skill in the art, other drawings can be obtained based on these drawings without creative efforts.

[0054] Figure 1 It is a flowchart of the hand cleaning method for preventing bacteria transmission in Embodiment 1.

[0055] Figure 2 It is a schematic diagram of hand cleaning in Embodiment 1. Detailed Embodiments

[0056] To make the above objects, features, and advantages of the present invention more obvious and understandable, the following will provide a detailed description of the specific embodiments of the present invention with reference to the drawings in the specification.

[0057] Many specific details are set forth in the following description to fully understand the present invention. However, the present invention can also be implemented in other ways different from those described herein. Those skilled in the art can make similar extensions without departing from the connotation of the present invention. Therefore, the present invention is not limited by the specific embodiments disclosed below.

[0058] Second, the "one embodiment" or "embodiment" referred to herein means a specific feature, structure, or characteristic that may be included in at least one implementation of the present invention. The appearances of "in one embodiment" in different places in this specification do not all refer to the same embodiment, nor are they separate or alternative embodiments that are mutually exclusive of other embodiments.

[0059] Embodiment 1, referring to Figure 1 and Figure 2 , is the first embodiment of the present invention. This embodiment provides a hand cleaning method for preventing bacterial transmission, including the following steps:

[0060] S1. Place both hands in the bacterial detection area of the device, and perform bacterial detection by optically projecting and marking the bacterial distribution.

[0061] S1.1.1. The user naturally spreads both hands with the palms facing down and places them in the bacterial detection area of the device; when the infrared sensor of the device recognizes the hands in the bacterial detection area, the ultraviolet light source is automatically activated to generate fluorescence of a specific wavelength and capture the hand fluorescence image generated by bacteria.

[0062] Specifically, the ultraviolet light source usually operates at wavelengths between 254 nm and 365 nm because most fluorescent dyes or markers have strong absorption peaks in this wavelength band and can effectively excite the fluorescent substances in bacterial cells. When ultraviolet light irradiates the hands, if there are fluorescently labeled bacteria, they will absorb the ultraviolet light energy and re-emit it in the form of visible light with a longer wavelength, that is, the fluorescence phenomenon occurs.

[0063] S1.1.2. Perform normalization, noise removal, and background correction processing on the captured hand fluorescence image through image processing algorithms.

[0064] Specifically, the normalization process is to perform normalization processing on the hand fluorescence image to ensure that all images have the same brightness, contrast, and resolution; the denoising process is to remove the random noise in the image by applying filters (such as Gaussian blur or median filter) to improve the visibility of bacterial features and reduce the possibility of false positive detection; the background correction process is to remove the background interference caused by non-specific fluorescence signals or ambient light so that only the signals from fluorescently labeled bacteria are retained.

[0065] S1.1.3. Use a convolutional neural network to classify each pixel in the hand fluorescence image into different levels of bacterial density, and according to the classification results, divide the hand into multiple regions and calculate the average density of each region. The expression is:

[0066]

[0067] Where represents the average bacterial density, i represents the index of the bacterial detection area, n represents the number of bacterial detection areas, D i represents the bacterial density of the i-th bacterial detection area, A i represents the surface area of the i-th bacterial detection area.

[0068] Specifically, the specific operations of the convolutional neural network are as follows:

[0069] Input layer: Receives the processed hand fluorescence image.

[0070] Convolutional layer: Multiple convolutional layers act on the input image in sequence. Each layer generates a set of feature maps, highlighting different local features such as textures and shapes.

[0071] Activation function: For example, ReLU (Rectified Linear Unit), which is used to introduce non-linearity to help the model better fit the data.

[0072] Pooling layer: Usually uses max-pooling operation to reduce the spatial dimension of the feature map while retaining important feature information.

[0073] Fully connected layer: Maps the features output by the last convolutional layer to a low-dimensional space, where each node represents a possible class (i.e., bacterial density level).

[0074] Output layer: Uses the softmax function to output the probability distribution of each class, and finally determines which bacterial density level each pixel belongs to.

[0075] The bacterial density is the prediction of the bacterial density of each pixel based on the output result of the convolutional neural network. The predicted value will be mapped to the density level range. For example:

[0076] Low density: Indicates that there are almost no bacteria or very few bacteria.

[0077] Medium density: Indicates that there is a certain number of bacteria, but it has not reached the high-risk level.

[0078] High density: Indicates that there are a large number of bacteria, and there may be a high risk of infection.

[0079] The level can be determined by setting a threshold. For example, if the predicted value of the bacterial density is between 0 - 30%, it is classified as low density; 30% - 70% is medium density; more than 70% is high density.

[0080] S1.1.4. Based on the average density calculated for each area, create a color gradient palette, redraw the hand image, and replace each pixel with the corresponding color.

[0081] Specifically, the color gradient palette is a color gradient from light blue (indicating low density) to dark red (indicating high density). This palette defines the colors corresponding to different density levels.

[0082] S1.2. Automatically recommend the amount of hand sanitizer based on the detection results.

[0083] Based on calculating the average bacterial density of the entire hand surface and combining the requirements of each bacterial detection area, calculate the recommended amount of hand sanitizer. The expression is:

[0084]

[0085] Where V represents the recommended amount of hand sanitizer, which depends on the overall distribution of hand bacteria and the specific requirements of key areas. k represents a correction factor, which is used to convert the calculation result into an actual hand sanitizer volume unit (such as milliliters), taking into account factors such as the concentration and cleaning efficiency of the hand sanitizer, and may be adjusted according to different products or usage scenarios. represents the average bacterial density to ensure that all users receive at least a certain amount of basic cleaning guarantee. α represents a weight factor that adjusts the degree of influence of the area on the total amount. If the value of α is large, it means that more attention is paid to the additional cleaning requirements of those high-density bacterial areas. If it is small, it means that the overall average density occupies a larger proportion in the calculation, and it is optimized according to the specific application scenario. i represents the index of the bacterial detection area, n represents the number of bacterial detection areas, w i represents the importance weight of the i-th bacterial detection area. Different hand areas have different importance for hygiene cleaning. For example, areas such as fingertips and nail seams usually require more thorough cleaning. D i represents the bacterial density of the i-th bacterial detection area, which refers to the ratio of the number of bacteria in a specific area to the area of that area, and is data captured and analyzed through fluorescence microscopy imaging technology. A i represents the surface area of the i-th bacterial detection area, which refers to the actual physical size of each detected area.

[0086] S2. According to the detection results, automatically recommend the amount of hand sanitizer, and guide the user to take the recommended amount of hand sanitizer through the color of the light band and sound prompts for palm and back cleaning.

[0087] S2.1. Based on the calculated recommended amount of hand sanitizer, the light band surrounding the bacterial detection area transitions from red (indicating the waiting state) to blue (indicating readiness).

[0088] Furthermore, the light strip is also equipped with an ambient light sensor that can continuously monitor the ambient light intensity and automatically adjust the brightness and contrast of the light strip according to the actual conditions, ensuring that the light strip is clearly visible both in bright daytime and dim nighttime. The color change speed of the light strip is also dynamically adjusted according to the user's movement posture. For example, if the user's hand moves too fast or stays in a certain position for too long, the color change rate of the light strip will slow down or accelerate accordingly to provide more intuitive feedback.

[0089] S2.2. The metering pump inside the device squeezes the recommended amount of hand sanitizer to the dispensing port.

[0090] Furthermore, the metering pump inside the device is equipped with a high-precision flow sensor that can accurately measure and control the liquid output during each use, ensuring that the amount of hand sanitizer provided each time meets the recommended standard and avoiding the problems of excessive or insufficient amounts. The pump head adopts advanced aerosol spraying technology to atomize the hand sanitizer into extremely fine particles (with a diameter less than 50 microns) through a tiny aperture nozzle, forming a uniformly distributed mist-like spray stream. This design can not only increase the coverage area and permeability but also reduce the waste of hand sanitizer and enhance the user experience.

[0091] S2.3. Step 1: Wet your hands with running water, apply soap or hand sanitizer, and rub your palms together with your fingers interlocked.

[0092] The voice prompts the user to pick up the hand sanitizer. The user catches the hand sanitizer flowing out of the dispensing port through a non-contact induction mechanism. At the same time, the color of the light strip immediately turns yellow and moves dynamically to guide the user to apply it on the hands. When the hand application is completed, it guides the user to wash the palms in a rotating manner.

[0093] S2.4. Step 2: Rub the back of one hand against the palm of the other along the finger seams and alternate.

[0094] After the palm washing is completed, the back of the hand is washed. When the palm and the back of the hand washing are completed, a prompt sound for the completion of palm and back cleaning is emitted.

[0095] Specifically, the voice prompt system adopts natural language processing (NLP) technology, which can adjust its tone and content according to the user's reaction to provide a more user-friendly interaction experience. For example, if the user stays at a certain step for too long, the system will gently remind to continue to the next step; if it detects that the user may encounter difficulties, it will provide additional help instructions.

[0096] Furthermore, during the entire cleaning process, the device can also play relaxing background music or natural sound effects to create a comfortable cleaning atmosphere and relieve the user's mental stress. After the cleaning is completed, a personal cleaning report will be generated, recording the key data of this cleaning (such as the amount of hand sanitizer used, cleaning time, etc.), and synchronizing it to the user's account through the APP for long-term tracking of personal hygiene habits. If the user has special skin care needs, such as dry skin requiring more moisturizing ingredients, the system can also recommend suitable skin care products based on the personal profile and provide an appropriate amount of hand cream after the cleaning is completed.

[0097] S3. After the palms and backs of the hands are cleaned, the light band turns yellow and moves dynamically to the area between the fingers, prompting the user to cross the fingers and rub.

[0098] S3.1. When the palms and backs of the hands are cleaned, the color of the light band changes from green to yellow, moves upward along the roots of the user's fingers, and stops at the gaps between the fingers, simulating the correct finger-crossing gesture to help the user identify the areas that need to be cleaned.

[0099] Specifically, the light band not only simply changes color, but it expands from the center of the palm to the outer edge in a progressive manner, simulating the effect of rippling water waves to attract the user's attention. The path of the light band is designed as a smooth curve, simulating the correct finger-crossing gesture to help the user intuitively identify the areas that need to be cleaned. The color depth of the light band will be dynamically adjusted according to the user's movements. If the user correctly crosses the fingers of both hands, the color of the light band will become brighter; conversely, if the movement is inaccurate, the color will become darker, serving as immediate feedback.

[0100] S3.2. Step 3: Place the palms facing each other, cross the hands, and rub each other along the finger gaps.

[0101] Based on the recognition result of the areas that need to be cleaned, the user crosses the fingers of both hands according to the simulation result and starts the finger-gap cleaning action. After the finger-gap cleaning is completed, the color of the light band changes from yellow to green, and at the same time, the device emits a prompt sound indicating that the finger-gap cleaning is completed.

[0102] Furthermore, the built-in micro-vibration motor of the device not only emits slight vibrations, but these vibrations are in a carefully designed beat pattern to assist the user in maintaining an appropriate cleaning rhythm. For example, two short vibrations per second can guide the user to clean according to the rhythm of "rub - rotate". The vibration intensity can be automatically adjusted according to the user's hand pressure. When the user presses too hard or too lightly, the device will remind the user to adjust the strength by increasing or decreasing the vibration, ensuring effective cleaning without harming the skin. If the user stays at a certain stage for too long or too short, the device will also emit an additional one-time strong vibration to remind the user to move on to the next cleaning step.

[0103] S4. After the finger gaps are cleaned, the light strip changes color to yellow and moves to the thumb area for rotational cleaning.

[0104] S4.1. Step 4: Hold the thumb of one hand and rub it in a circular motion, alternating between the two hands.

[0105] When the user has finished scrubbing all the gaps between the fingers as instructed, the light strip changes color from green to yellow and a sound is emitted to indicate that the thumb area is being cleaned. The yellow light strip moves around the base of the thumb to guide the user to perform a rotational cleaning of the thumb. The user follows the instructions to place the thumb of one hand on the palm of the other hand, simulating the correct rotational cleaning path and performing a rotational rubbing motion.

[0106] To further explain, the yellow light band moves around the base of the thumb and adopts a unique spiral path design. This spiral path is not just a static line, it will be dynamically displayed on the screen, and the position will be updated in real time with the user's movements. The width and brightness of the light band will be fine-tuned according to the user's movements. For example, when the user rotates and rubs according to the correct spiral path, the light band will become brighter and wider, giving positive feedback; if it deviates from the correct path, the light band will narrow and flash, reminding the user to adjust the gesture. There are multiple key nodes on the spiral path, each node corresponds to a complete rotation and rubbing action. Whenever the user successfully completes the action of a node, the light band will flash briefly and emit a soft sound prompt, indicating that the cleaning of that part has been completed, encouraging the user to continue to the next node.

[0107] S5. The user moves to the fingertip area according to the instructions of the light band, puts the fingertips together on the palm of the other hand and rubs them in a rotating manner, focusing on cleaning the area between the nails.

[0108] S5.1. Step 5: Bend your fingers and rub the knuckles in the palm of your other hand, alternating between the two hands.

[0109] When the thumb area is cleaned, the light strip dynamically moves to the fingertip area, simulating the correct finger bending and fingertip closing gestures to help users identify the area that needs to be cleaned; users clean their fingers according to the instructions.

[0110] S5.2. Step 6: Put your fingertips together, place them on the palm of your other hand, and rub them in a rotating motion, alternating between your hands.

[0111] After cleaning your fingers, perform a circular rubbing motion with your fingertips together.

[0112] Furthermore, the light band not only changes color but also moves from the thumb area to the fingertips in a flowing manner, simulating the effect of water flow, attracting the user's attention and guiding them to move to the fingertip area. The light band has a built-in high-resolution projector that directly projects a detailed cleaning roadmap on the user's other palm, including:

[0113] Fingers together indication: The projector projects a clear image of the fingers together gesture on the user's palm, guiding the user on how to correctly place the fingertips of one hand together on the palm of the other hand.

[0114] Rotating rubbing path: Spiral path indications appear around each fingertip, showing the correct rotating rubbing direction and range to ensure that each nail crevice is thoroughly cleaned.

[0115] Key node markings: Key nodes (such as start points and end points) on the path are specially marked to help the user understand when to start or stop a certain action.

[0116] S5.3. Step 7: Rub the wrists and arms, alternating hands.

[0117] After the user completes the cleaning of the fingertip and nail crevice areas, perform wrist cleaning, rinse thoroughly with running water, and the color of the light band disappears, accompanied by a cleaning completion prompt sound.

[0118] Furthermore, when the user completes the cleaning of the fingertips and nail crevices, it is automatically detected and confirmed that the cleaning action has been completed. At this time, the built-in ultraviolet germicidal lamp of the device will be immediately activated to perform a short but efficient disinfection treatment on the just-cleaned hand. The ultraviolet germicidal lamp is designed with a smart sensor that will only be activated when the user's hand completely leaves the detection area to ensure no harm to the human body. A disinfection progress bar is displayed on the screen so that the user can clearly know the time required for the whole process. After disinfection is completed, the color of the light band will turn green and be accompanied by a pleasant prompt sound, indicating that both hand cleaning and disinfection have been completed.

[0119] S6. After cleaning is completed, place both hands in the detection area of the device again for a recheck of bacteria, showing the distribution of hand bacteria.

[0120] S6.1. After hand cleaning is completed, a voice prompt will guide the user to place both hands in the detection area of the device again for a recheck of bacteria. After the user places both hands in the detection area of the device according to the indication, the ultraviolet light source is automatically activated to start scanning the hands again and capture the fluorescent images of the hands. The device compares the fluorescent images of the cleaned hands with the fluorescent images of the hands before cleaning and calculates the bacteria reduction rate in each area.

[0121]

[0122] Among them, R i represents the bacterial reduction rate of the i-th bacterial detection area, and D i,前 represents the bacterial density before cleaning in the i-th bacterial detection area, and D i,后 represents the bacterial density before cleaning in the i-th bacterial detection area.

[0123] S6.2. According to the calculation results, the device provides corresponding feedback according to the change of the light band color;

[0124] When there is still bacterial residue in some areas, the light band color changes to orange, guiding the user back to the area that needs to be cleaned repeatedly for re-cleaning; when the cleaning effect is good, the light band color changes to green, and a cleaning completion prompt sound is emitted.

[0125] Further explanation, a reduction rate threshold is set according to the bacterial reduction rate,

[0126] Orange (needs to be cleaned repeatedly): If the bacterial reduction rate in a certain area is lower than the set reduction rate threshold (for example, 80%), the light band color changes to orange, guiding the user back to this area for re-cleaning.

[0127] Green (cleaning completed): When the bacterial reduction rates in all areas reach or exceed the set reduction rate threshold, the light band color changes to green, and a cleaning completion prompt sound is emitted.

[0128] This embodiment also provides a computer device, applicable to the situation of the hand cleaning method for preventing bacterial transmission, including: a memory and a processor; the memory is used to store computer-executable instructions, and the processor is used to execute the computer-executable instructions to implement the hand cleaning method for preventing bacterial transmission as proposed in the above embodiment.

[0129] This computer device can be a terminal. This computer device includes a processor, a memory, a communication interface, a display screen, and an input device connected through a system bus. Among them, the processor of this computer device is used to provide computing and control capabilities. The memory of this computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system and a computer program. The internal memory provides an environment for the operation of the operating system and the computer program in the non-volatile storage medium. The communication interface of this computer device is used to communicate with an external terminal in a wired or wireless manner. The wireless manner can be achieved through WIFI, a carrier network, NFC (Near Field Communication), or other technologies. The display screen of this computer device can be a liquid crystal display screen or an electronic ink display screen. The input device of this computer device can be a touch layer covered on the display screen, or a button, a trackball, or a touchpad set on the computer device housing, or an external keyboard, touchpad, or mouse, etc.

[0130] This embodiment also provides a storage medium, on which a computer program is stored. When the program is executed by a processor, it implements the hand cleaning method for preventing bacterial transmission proposed in the above embodiment; the storage medium can be implemented by any type of volatile or non-volatile storage device or a combination thereof, such as static random access memory (SRAM), electrically erasable programmable read-only memory (EEPROM), erasable programmable read-only memory (EPROM), programmable read-only memory (PROM), read-only memory (ROM), magnetic memory, flash memory, magnetic disk or optical disk.

[0131] In summary, the present invention uses an ultraviolet light source to excite fluorescence of a specific wavelength, captures a fluorescence image of the hand and performs standardized processing via an image processing algorithm, ensuring high-precision detection of bacterial distribution; classifies each pixel in the image through a convolutional neural network, calculates the average bacterial density in different regions, thereby providing a scientific basis for automatically recommending the amount of hand sanitizer; the combination of the color change of the light band and the sound prompt can guide the user to complete the cleaning of key parts such as the palm, finger gaps, thumb and fingertips in real time, ensuring no omission; recheck the bacteria after the cleaning is completed, and provide instant feedback according to the recheck results to help the user confirm the cleaning effect and correct the deficiencies in time.

[0132] It should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and not to limit them. Although the present invention has been described in detail with reference to the preferred embodiments, those of ordinary skill in the art should understand that the technical solutions of the present invention can be modified or equivalently replaced without departing from the spirit and scope of the technical solutions of the present invention, and they should all be covered by the scope of the claims of the present invention.

Claims

1. A hand cleaning method for preventing the spread of bacteria, characterized in that: include, Put both hands into the bacteria detection area and perform bacteria detection by marking the distribution of bacteria through optical projection; According to the test results, it automatically recommends the amount of hand sanitizer to be used, and guides the user to take the recommended amount of hand sanitizer to clean the palms and backs of the hands through light strip color and sound prompts; After the palm and back of the hand are cleaned, the light strip changes color to yellow and moves dynamically to the area between the fingers, prompting the user to cross their fingers and wash; After cleaning the gaps between fingers, the light strip changes color to yellow and moves to the thumb area for rotational cleaning; The user moves to the fingertip area according to the light band prompts, puts the fingertips together on the palm of the other hand and rubs them in a circular motion, focusing on cleaning the nail gap area; After cleaning, place your hands again in the detection area of ​​the device for a bacterial retest, which will show the distribution of bacteria on your hands.

2. The hand cleaning method for preventing the spread of bacteria according to claim 1, characterized in that: Put your hands into the bacteria detection area of ​​the device, and use optical projection to mark the distribution of bacteria for bacteria detection, which includes the following steps: The user opens both hands naturally, with the palms facing down, and places them in the bacteria detection area of ​​the device; When the device's infrared sensor identifies a hand within the bacteria detection area, it automatically activates the ultraviolet light source to generate fluorescence of a specific wavelength and capture the fluorescent image of the hand produced by the bacteria; The captured fluorescence images of the hand are processed by an image processing algorithm for standardization, noise removal and background correction; A convolutional neural network is used to classify each pixel in the hand fluorescence image into different levels of bacterial density. Based on the classification results, the hand is divided into multiple regions and the average density of each region is calculated. The expression is: in, represents the average bacterial density, i represents the bacterial detection area index, n represents the number of bacterial detection areas, and D i represents the bacterial density of the ith bacterial detection area, A i represents the surface area of ​​the i-th bacterial detection area; Based on the calculated average density of each region, a color gradient palette is created, the hand image is redrawn, and each pixel is replaced with the corresponding color.

3. The hand cleaning method for preventing the spread of bacteria according to claim 2, characterized in that: According to the test results, automatically recommending the amount of hand sanitizer to use includes the following steps: Based on the average bacterial density of the entire hand surface, and combined with the needs of each bacterial detection area, the recommended amount of hand sanitizer is calculated as follows: Where V represents the recommended amount of hand sanitizer, k represents the correction coefficient, α represents the weight factor of the influence of the adjustment area on the total amount, and w i represents the importance weight of the i-th region.

4. The hand cleaning method for preventing the spread of bacteria according to claim 3, characterized in that: The light strip color and sound prompts guide the user to take the recommended amount of hand sanitizer. Cleaning the palms and backs of the hands includes the following steps: Based on the calculated recommended amount of hand sanitizer, the light band surrounding the bacteria detection area transitions from red to blue, and at the same time, the metering pump inside the device squeezes the recommended amount of hand sanitizer into the dispensing port; The user is prompted by voice to take the hand sanitizer. The user catches the hand sanitizer flowing out of the dispensing port through the contactless sensing mechanism. At the same time, the light strip immediately turns yellow and moves dynamically to guide the user to apply the hand sanitizer. When the hand application is completed, the user is guided to scrub the palms and backs of the hands in a rotating manner; When the palm and back of the hand are scrubbed, a reminder sound is emitted indicating that the palm and back of the hand cleaning is completed.

5. The hand cleaning method for preventing the spread of bacteria according to claim 4, characterized in that: After the palm and back of the hand are cleaned, the light strip turns yellow and moves dynamically to the area between the fingers, prompting the user to cross their fingers and wash. The steps include: When the palm and back of the hand are cleaned, the light strip changes color from green to yellow, moves upward along the base of the user's fingers, and stops at the gaps between the fingers, simulating the correct ten-finger cross gesture to help the user identify the areas that need to be cleaned; Based on the recognition result of the position to be cleaned, the user crosses the fingers of both hands according to the simulation result and starts cleaning the gaps between the fingers; After the cleaning of the finger gaps is completed, the light strip color changes from yellow to green, and the device emits a prompt sound to indicate that the finger gap cleaning is complete.

6. The hand cleaning method for preventing the spread of bacteria according to claim 5, characterized in that: To complete the cleaning of the finger gaps, the light strip changes color to yellow and moves to the thumb area for rotational cleaning. The steps include: When the user has finished scrubbing all the gaps between the fingers as instructed, the light strip changes color from green to yellow and a sound is emitted to indicate that the thumb area is clean. The yellow light band moves around the base of the thumb, guiding the user to clean the thumb in a rotational motion; Users are instructed to place the thumb of one hand on the palm of the other hand, simulating the correct rotational cleaning path and performing a rotating rubbing motion.

7. The hand cleaning method for preventing the spread of bacteria according to claim 6, characterized in that: The user moves to the fingertip area according to the light band prompts, puts the fingertips together on the palm of the other hand and rubs them in a rotation, focusing on cleaning the nail gap area. The following steps are included: When the thumb area is cleaned, the light strip dynamically moves to the fingertip area, simulating the correct fingertip-to-finish gesture to help users identify the area that needs cleaning; Users are instructed to perform a rotating kneading motion by bending their fingers and bringing their fingertips together over the palm of their other hand; When the user has finished cleaning the fingertips and nail gaps as instructed, clean the wrist and rinse with running water. The color of the light strip disappears and a sound is emitted to indicate the end of cleaning.

8. The hand cleaning method for preventing the spread of bacteria according to claim 7, characterized in that: After cleaning, place your hands again in the detection area of ​​the device for bacterial re-examination. The distribution of bacteria on your hands includes the following steps: After hand cleaning is completed, the voice prompts you to put your hands back into the detection area of ​​the device for a bacterial re-examination; After the user places both hands into the detection area of ​​the device again as instructed, the UV light source is automatically activated to start rescanning the hands and capture fluorescent images of the hands; The device compares the fluorescent images of the hands after cleaning with those before cleaning and calculates the bacteria reduction rate in each area; Based on the calculation results, the device provides corresponding feedback according to the changes in the color of the light band; When bacteria still remain in some areas, the light strip changes color to orange, guiding the user back to the area that needs repeated cleaning for cleaning; When the cleaning effect is good, the light bar color turns green and a cleaning completion prompt sound is emitted.

9. A computer device comprising a memory and a processor, wherein the memory stores a computer program, wherein: When the processor executes the computer program, the steps of the hand cleaning method for preventing the spread of bacteria according to any one of claims 1 to 8 are implemented.

10. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the steps of the hand cleaning method for preventing the spread of bacteria according to any one of claims 1 to 8 are implemented.

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