Touch control hidden intelligent bathroom mirror interaction system and control method thereof
The smart bathroom mirror system, which integrates components such as a touch-sensitive hidden interaction module and a multimodal sensing module, solves the problems of insufficient privacy protection and interaction stability. It achieves accurate touch control and secure privacy data processing in high humidity and low light environments, and supports personalized interaction and device linkage.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- 杭州港盛卫浴有限公司
- Filing Date
- 2026-04-14
- Publication Date
- 2026-07-21
Smart Images

Figure CN122431546A_ABST
Abstract
Description
Technical Field
[0001] This invention belongs to the technical field of intelligent bathroom equipment, specifically a touch-controlled hidden intelligent bathroom mirror interactive system and its control method. Background Technology
[0002] With the rapid development of smart home technology, smart bathroom mirrors, as the core smart terminal in the bathroom space, have been widely used in homes and commercial venues. By integrating touch control, display, and environmental sensing functions, they greatly enhance the user experience. Currently, touch-controlled hidden smart bathroom mirror interaction systems on the market typically collect users' facial features, usage habits, and other private data to achieve personalized interaction and scene adaptation. Some systems even directly upload the collected private data to the cloud for processing and storage.
[0003] However, existing interactive systems generally suffer from inadequate privacy protection, becoming a key bottleneck restricting their widespread application. Since the bathroom is a private space, user facial features and other data constitute sensitive personal information. Most existing systems lack targeted encryption and standardized management of this privacy data; some even collect and transmit privacy data without user consent, resulting in a high risk of privacy data leakage. The lack of effective local processing and automatic cleanup mechanisms for privacy data further exacerbates this risk. Simultaneously, existing touch-controlled hidden smart bathroom mirror interactive systems suffer from insufficient interactive stability. Bathroom spaces are characterized by high humidity, low light, and large temperature fluctuations. Moisture and water stains easily adhere to the interactive area, making it impossible to dynamically adjust touch sensitivity based on environmental parameters such as humidity. This leads to frequent accidental touches, affecting normal user operation and causing the smart control module to fail to accurately determine the user's interactive intent. Therefore, this paper proposes a touch-controlled hidden smart bathroom mirror interactive system and its control method to address these issues. Summary of the Invention
[0004] In order to overcome the shortcomings of the prior art, at least one technical problem raised in the background art is solved.
[0005] The technical solution adopted by the present invention to solve its technical problem is: the touch-controlled hidden smart bathroom mirror interaction system of the present invention includes a touch hidden interaction module, a multimodal perception module, an intelligent control module, a hidden display driving module, a privacy protection module, a cloud collaboration module and an environmental adaptive adjustment module. Each module establishes a communication connection through a preset data interaction link to realize real-time data transmission and collaborative execution of instructions. The touch-sensitive hidden interaction module is mainly used to receive various touch operation commands triggered by the user, including single-point touch, multi-point touch, and swipe touch. It has built-in false touch filtering logic and can directly connect to the environmental humidity data transmitted by the environmental adaptive adjustment module. When the detected environmental humidity is greater than the preset threshold, it automatically increases the pressure threshold and contact time threshold of touch recognition. At the same time, by recognizing the continuity of the touch operation trajectory, it filters out non-human instantaneous touch signals, achieving accurate filtering of water vapor and water stains as false touches. This ensures that the touch commands output to the intelligent control module are all valid user operation commands, effectively reducing the false touch rate.
[0006] The multimodal sensing module employs a feature-level fusion strategy, integrating RGBD sensing units, infrared sensing units, and millimeter-wave radar sensing units to collect bathroom environment parameters and user status data in real time. Environmental parameters include ambient brightness and humidity, while user status data includes the coordinates of key facial points, head movement angles, and gesture trajectories. After internal preprocessing, the collected data is synchronously transmitted to the intelligent control module and the environmental adaptive adjustment module, ensuring accurate data collection even in low-light and high-humidity environments. This provides data support for system adaptive adjustment and user intent judgment.
[0007] The intelligent control module, as the core scheduling unit of the system, establishes bidirectional data connections with the touch-hidden interaction module, multimodal perception module, hidden display driving module, privacy protection module, cloud collaboration module, and environmental adaptive adjustment module. It incorporates touch command parsing algorithms, environmental parameter adaptation algorithms, user state recognition algorithms, display content scheduling algorithms, and multi-module collaborative control algorithms. Among them, the user state recognition algorithm, combined with a lightweight deep learning model, can identify users based on facial feature data transmitted by the multimodal perception module, determine the current usage scenario based on environmental parameters, and output corresponding personalized control commands. It also features a lightweight YOLOv7 improved algorithm to achieve sub-centimeter-level touch positioning and a command response latency of less than 50 milliseconds, ensuring the smooth operation of all modules.
[0008] The hidden display driver module receives display control commands from the intelligent control module, driving the hidden display unit to achieve hidden presentation, switching, and one-click hiding of information. It can adaptively adjust display parameters based on ambient brightness data collected by the multimodal sensing module. When the ambient brightness is 100 lux, it automatically increases the display brightness to 80%, and when the ambient brightness is 500 lux, it automatically decreases the display brightness to 40%, avoiding the problems of glare from strong light or poor visibility in low light. It supports switching between three scene modes: beauty mode, washing mode, and health monitoring mode. Different personalized content is displayed in different modes, and all displayed content can be hidden with one click via a single-point long-press touch command on the hidden interaction module. After hiding, there is no display trace, which meets the needs of hidden interaction.
[0009] The privacy protection module employs a federated learning and edge cloud collaborative inference architecture to process user privacy data collected by the multimodal perception module. User privacy data undergoes feature extraction only locally, and the extracted high-level semantic information is encrypted using an asymmetric encryption algorithm before being uploaded to the cloud, avoiding the risk of leakage caused by direct transmission of raw privacy data. It also features an automatic privacy data cleanup function; the cleanup duration can be customized via touch controls on the hidden interactive module. Once the preset cleanup duration is reached, all locally stored privacy data is automatically deleted, further enhancing privacy protection security and complying with relevant regulations regarding the processing of sensitive personal information in private spaces.
[0010] The cloud-based collaboration module enables bidirectional data interaction with the smart control module. On one hand, it receives non-privacy data uploaded by the smart control module, and on the other hand, it feeds back algorithm optimization parameters and multi-device linkage commands to the smart control module. It supports cross-device collaboration with smart home systems and can control relevant smart home devices in conjunction with user scenario commands output by the smart control module. At the same time, it enables remote iterative updates of the system algorithm to ensure continuous optimization of system functions.
[0011] The environmental adaptive adjustment module receives environmental parameters collected by the multimodal sensing module in real time and, combined with the adaptation instructions from the intelligent control module, automatically adjusts the system's touch sensitivity, display parameters, and response strategy. When the ambient humidity increases, it simultaneously sends a sensitivity adjustment instruction to the touch-hidden interaction module to raise the touch recognition threshold and reduce accidental touches. When the ambient brightness changes, it sends a brightness adjustment instruction to the hidden display driver module to ensure that the display effect adapts to the current environment. At the same time, it adjusts the operating power consumption of each module according to the ambient temperature fluctuations, achieving energy-saving operation while ensuring smooth interaction, and adapting to the complex environment of large temperature fluctuations in the bathroom.
[0012] Corresponding to the aforementioned touch-controlled hidden smart bathroom mirror interaction system, this invention also discloses a control method applied to the aforementioned interaction system, specifically including the following steps: S1: System Initialization: After the user turns on the system, the intelligent control module starts automatically, driving each functional module to complete self-tests and ensuring that each module can operate normally; after the self-tests are completed, the multimodal perception module starts to collect initial parameters of the bathroom environment, the touch-hidden interaction module enters standby mode, the hidden display driver module is in a display-hidden state, the privacy protection module starts the privacy data encryption mechanism, and the system initialization preparation is completed. S2: Environmental Adaptive Calibration: The intelligent control module receives the initial environmental parameters collected by the multimodal sensing module, generates adaptation instructions through the environmental parameter adaptation algorithm, and sends them to the touch-hidden interaction module and the hidden display driver module respectively to adjust the touch sensitivity threshold and initial display parameters, thereby completing the adaptation of the system to the current bathroom environment; S3: Touch Interaction Recognition: The touch-hidden interaction module detects user touch operations in real time, filters out false touch signals through a false touch filtering algorithm, parses valid touch operations, generates standardized touch commands, and transmits them to the intelligent control module.
[0013] S4: Multimodal data collaborative processing: While receiving touch commands, the intelligent control module also receives real-time environmental parameters and user status data collected by the multimodal perception module. It combines preset algorithms to determine the user's interaction intent and the current usage scenario, and generates corresponding personalized control commands. S5: Hidden Interactive Response: The intelligent control module transmits control commands to the hidden display driver module and the environmental adaptive adjustment module respectively. The hidden display driver module presents the corresponding display content according to the command, and the environmental adaptive adjustment module maintains or adjusts the interaction parameters. If the user triggers the hidden command, the display is immediately turned off and the hidden state is restored. S6: Privacy Protection and Data Synchronization: The privacy protection module encrypts user privacy data in real time, stores only the encrypted feature information locally, and automatically cleans up local privacy data after a preset period; the cloud collaboration module synchronizes non-privacy data, receives cloud algorithm optimization parameters, and updates the preset algorithm of the intelligent control module. S7: System Standby and Wake-up: When there is no touch operation or user status change for more than a preset time, the system enters standby mode and reduces power consumption; when a valid touch operation is detected or the user approaches, the system automatically wakes up and resumes normal interaction.
[0014] The beneficial effects of this invention are as follows: 1. This invention employs a federated learning and edge cloud collaborative inference architecture in its privacy protection module to perform end-to-end secure processing of user privacy data collected by the multimodal perception module. User privacy data undergoes feature extraction only locally, and the extracted high-level semantic information is encrypted using an asymmetric encryption algorithm before being uploaded to the cloud, fundamentally avoiding the risk of leakage caused by direct transmission of raw privacy data. Simultaneously, it is equipped with an automatic privacy data cleanup function, with the cleanup duration customizable via a touch-sensitive hidden interaction module. After the preset time is reached, all local privacy data is automatically deleted, effectively mitigating the privacy leakage risks of existing technologies, enhancing user privacy security during use, and solving a key bottleneck restricting the widespread application of existing systems.
[0015] 2. This invention, through the coordinated operation of an environmental adaptive adjustment module, a touch-hidden interaction module, and a multimodal sensing module, can dynamically adjust the pressure threshold and contact time threshold for touch recognition based on the environmental humidity data collected by the multimodal sensing module. Combined with the judgment of touch trajectory continuity, it accurately filters non-human instantaneous touch signals such as water droplets, significantly reducing the false touch rate. The multimodal sensing module adopts a feature-level fusion strategy, integrating RGBD, infrared, and millimeter-wave radar sensing units to ensure accurate collection of environmental and user status data even in low-light and high-humidity environments, providing reliable support for system adjustment. The intelligent control module is equipped with a lightweight YOLOv7 improved algorithm, achieving sub-centimeter-level touch positioning and a command response latency of less than 50 milliseconds, ensuring smooth collaborative operation of all modules, solving the technical defects of insufficient interaction stability and frequent false touches in existing systems, and improving the convenience and reliability of user interaction.
[0016] 3. The hidden display driving module of this invention can automatically adjust display parameters based on the ambient brightness data collected by the multimodal sensing module, avoiding the problems of glare from strong light or poor visibility in low light. It also supports switching between three scene modes: beauty mode, washing mode, and health monitoring mode. Different modes present corresponding personalized content to meet the needs of users in different usage scenarios. Moreover, all displayed content can be hidden with one touch command, which meets the design requirements of hidden interaction. The cloud collaboration module supports cross-device collaboration with smart home systems such as bathroom water heaters, exhaust fans, and lights. It can control related devices in conjunction with user scenario commands to achieve integrated control of smart scenarios. The intelligent control module, combined with a lightweight deep learning model, can achieve user identification and accurate judgment of usage scenarios, and output personalized control commands. At the same time, the environmental adaptive adjustment module can dynamically adjust the system operating parameters according to environmental parameters, fully adapting to the complex bathroom environment. Attached Figure Description
[0017] The invention will now be further described with reference to the accompanying drawings.
[0018] Figure 1 This is a schematic diagram of the system framework of the present invention; Figure 2 This is a schematic diagram of the method flow of the present invention. Detailed Implementation
[0019] To make the technical means, creative features, objectives and effects of this invention easier to understand, the invention will be further described below in conjunction with specific embodiments.
[0020] 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.
[0021] Please see Figure 1-2 As shown, this invention provides a technical solution: a touch-controlled hidden smart bathroom mirror interaction system, including a touch-controlled hidden interaction module, a multimodal sensing module, an intelligent control module, a hidden display driving module, a privacy protection module, a cloud collaboration module, and an environmental adaptive adjustment module. Each module establishes a communication connection through a preset data interaction link to achieve real-time data transmission and collaborative command execution. Specific implementation details are as follows: The touch-sensitive hidden interaction module is mainly used to receive various touch operation commands triggered by the user, including single-point touch, multi-point touch, and swipe touch. It has built-in false touch filtering logic and can directly connect to the environmental humidity data transmitted by the environmental adaptive adjustment module. When the environmental humidity is detected to be greater than the preset threshold, it automatically increases the pressure threshold and contact time threshold of touch recognition. At the same time, by recognizing the continuity of the touch operation trajectory, it filters out non-human instantaneous touch signals, such as the instantaneous touch caused by water droplets, to achieve accurate filtering of water vapor and water stains as false touches. This ensures that the touch commands output to the intelligent control module are all valid user operation commands, effectively reducing the false touch rate. Multimodal sensing module: Employing a feature-level fusion strategy, it integrates RGBD sensing units, infrared sensing units, and millimeter-wave radar sensing units to collect bathroom environment parameters and user status data in real time. Environmental parameters include ambient brightness and humidity, while user status data includes facial key point coordinates, head movement angles, and gesture trajectories. The collected data is pre-processed within the module and then synchronously transmitted to the intelligent control module and the environmental adaptive adjustment module, ensuring accurate data collection even in low-light and high-humidity environments. This provides data support for system adaptive adjustment and user intent judgment. Intelligent Control Module: As the core scheduling unit of the system, it establishes bidirectional data connections with the touch-hidden interaction module, multimodal perception module, hidden display driver module, privacy protection module, cloud collaboration module, and environmental adaptive adjustment module. It incorporates touch command parsing algorithm, environmental parameter adaptation algorithm, user state recognition algorithm, display content scheduling algorithm, and multi-module collaborative control algorithm. Among them, the user state recognition algorithm, combined with a lightweight deep learning model, can identify users based on the user's facial feature data transmitted by the multimodal perception module, determine the current usage scenario based on environmental parameters, and output corresponding personalized control commands. It also features a lightweight YOLOv7 improved algorithm to achieve sub-centimeter-level touch positioning and a command response latency of less than 50 milliseconds, ensuring the smooth operation of each module. Hidden display driver module: Receives display control commands from the intelligent control module, driving the hidden display unit to achieve hidden presentation, switching, and one-click hiding of information; it can adaptively adjust display parameters based on ambient brightness data collected by the multimodal perception module. When the ambient brightness is 100 lux, it automatically increases the display brightness to 80%; when the ambient brightness is 500 lux, it automatically decreases the display brightness to 40%, avoiding the problems of glare from strong light or poor visibility in low light; it supports switching between three scene modes: beauty mode, washing mode, and health monitoring mode. Different modes display corresponding personalized content, such as beauty mode displaying makeup tutorials, washing mode displaying time and weather, and health monitoring mode displaying basic user health data. All displayed content can be hidden with one click via a single-point long-press touch command on the hidden interaction module, leaving no visible trace after hiding, perfectly meeting the needs of hidden interaction; Privacy Protection Module: Employing a federated learning and edge cloud collaborative inference architecture, this module processes user privacy data collected by the multimodal perception module, such as facial feature data, usage habit data, and health monitoring data. User privacy data undergoes feature extraction only locally. The extracted high-level semantic information is then encrypted using an asymmetric encryption algorithm (in this embodiment, RSA encryption is employed) before being uploaded to the cloud, avoiding the risk of leakage caused by direct transmission of raw privacy data. It also features an automatic privacy data cleanup function. The cleanup duration can be customized via touch controls on the hidden interactive module. Once the preset cleanup duration is reached, all locally stored privacy data is automatically deleted, further enhancing privacy protection security and complying with relevant regulations regarding the processing of sensitive personal information in private spaces. Cloud-based collaboration module: Enables bidirectional data interaction with the intelligent control module. On one hand, it receives non-privacy environmental parameters and user scenario data uploaded by the intelligent control module. On the other hand, it feeds back algorithm optimization parameters and multi-device linkage commands to the intelligent control module. It supports cross-device collaboration with smart home systems such as bathroom water heaters, exhaust fans, and lights. Based on user scenario commands output by the intelligent control module, it can control related smart home devices in a coordinated manner, such as turning on the exhaust fan in wash mode or adjusting the brightness of bathroom lights in beauty mode. At the same time, it enables remote iterative updates of the system algorithm to ensure continuous optimization of system functions. Environmental adaptive adjustment module: Receives environmental parameters such as brightness and humidity collected in real time by the multimodal sensing module, and automatically adjusts the system's touch sensitivity, display parameters, and response strategy in conjunction with the adaptation instructions from the intelligent control module. When the ambient humidity increases, it simultaneously sends a sensitivity adjustment instruction to the touch-hidden interaction module to increase the touch recognition threshold and reduce accidental touches. When the ambient brightness changes, it sends a brightness adjustment instruction to the hidden display driver module to ensure that the display effect adapts to the current environment. Simultaneously, it adjusts the operating power consumption of each module according to ambient temperature fluctuations, achieving energy-saving operation while ensuring smooth interaction, adapting to the complex environment of a bathroom with large temperature fluctuations. This invention discloses a control method for a touch-controlled hidden smart bathroom mirror interaction system, applied to the aforementioned interaction system, and its specific implementation steps are as follows: S1: System Initialization: After the user turns on the system, the intelligent control module automatically starts, driving the touch-hidden interaction module, multimodal sensing module, hidden display driver module, privacy protection module, cloud collaboration module, and environmental adaptive adjustment module to complete self-tests, ensuring that each module can operate normally; after the self-test is completed, the multimodal sensing module begins to collect the initial parameters of the bathroom environment, such as brightness and humidity, the touch-hidden interaction module enters standby mode for low-power operation, only detecting valid touch signals, the hidden display driver module is in a hidden display state, and the privacy protection module starts the privacy data encryption mechanism RSA encryption algorithm, completing the system initialization preparation; S2: Environmental Adaptive Calibration: The intelligent control module receives the initial environmental parameters collected by the multimodal sensing module, and generates adaptation instructions through the environmental parameter adaptation algorithm: it sends a touch sensitivity threshold adjustment instruction to the touch hidden interaction module and an initial display parameter adjustment instruction to the hidden display driver module to complete the adaptation of the system to the current bathroom environment and ensure the stability of subsequent interactions; S3: Touch Interaction Recognition: The touch-hidden interaction module detects user touch operations in real time. When the user performs a swipe touch, the module uses a false touch filtering algorithm to determine whether the touch operation trajectory is continuous and whether the pressure and contact time meet the threshold requirements, thus identifying it as a valid touch operation. Subsequently, the type of touch operation, touch position coordinates, and touch duration are analyzed, and the above information is converted into standardized touch commands and transmitted to the intelligent control module. S4: Multimodal data collaborative processing: While receiving the above touch commands, the intelligent control module also receives real-time environmental parameters and user status data collected by the multimodal perception module; combined with the preset user status recognition algorithm, it determines that the user's current usage scenario is the washing mode, and identifies the user as the preset user, and then generates personalized control commands: controls the hidden display driver module to switch to the washing mode, displays the time, weather and washing countdown, and at the same time controls the cloud collaboration module to turn on the bathroom ventilation fan.
[0022] S5: Hidden Interaction Response: The intelligent control module transmits the above control commands to the hidden display driver module and the environmental adaptive adjustment module respectively; the hidden display driver module drives the display unit to display the content corresponding to the washing mode according to the command; the environmental adaptive adjustment module maintains the current touch sensitivity and display parameters unchanged according to the real-time environmental parameters; if the user triggers a single-point long press touch command, the hidden display driver module immediately turns off the display and restores the hidden state, realizing the rapid hiding of the displayed content.
[0023] S6: Privacy Protection and Data Synchronization: During user use, the privacy protection module encrypts the user's facial feature data and usage habit data collected by the multimodal perception module in real time, and only stores the encrypted feature information locally. The original privacy data is not stored locally for a long time. At the same time, the locally stored privacy data is automatically cleaned up according to the user's preset cleanup time. The cloud collaboration module synchronizes non-privacy data, receives algorithm optimization parameters fed back from the cloud, and transmits them to the intelligent control module to complete the update of the preset algorithm.
[0024] S7: System Standby and Wake-up: When the user finishes using the system and there is no touch operation or change in user status for more than the preset duration, the system enters standby mode to reduce the power consumption of each module. When the touch-hidden interaction module detects a valid touch operation by the user, or the multimodal perception module detects that the distance between the user and the system is less than a preset threshold, the system automatically wakes up, resumes normal interaction, and waits for the user's next operation.
[0025] In this embodiment, through the collaborative work of the above-mentioned functional modules and the execution of the control method, the problems of inadequate privacy protection and insufficient interaction stability in existing interactive systems are effectively solved: the privacy protection module avoids the risk of privacy data leakage through local feature extraction, asymmetric encryption, and automatic cleanup mechanisms; the environmental adaptive adjustment module, in collaboration with the touch-hidden interaction module and the multimodal perception module, effectively reduces accidental touches in high-humidity and low-light environments in bathrooms, and improves interaction stability; at the same time, the collaborative linkage and personalized control of each module further enhance the user experience and meet the development needs of smart bathroom mirrors for convenience and precision.
[0026] 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 foregoing embodiments, those skilled in the art should understand that modifications can still be made to the technical solutions described in the foregoing embodiments, or equivalent substitutions can be made to some of the technical features; and these modifications or substitutions do not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the embodiments of the present invention.
[0027] The terms "front," "back," "left," "right," "top," and "bottom" all refer to the figures in the accompanying drawings. Figure 1 Based on the perspective of the observer, the side of the device facing the observer is defined as the front, the left side of the observer is defined as the left, and so on.
[0028] In the description of this invention, it should be understood that the terms center, longitudinal, transverse, front, back, left, right, vertical, horizontal, top, bottom, inside, outside, etc., indicate the orientation or positional relationship based on the orientation or positional relationship shown in the accompanying drawings. They are only for the convenience of describing this invention and simplifying the description, and do not indicate or imply that the device or element referred to must have a specific orientation, or be constructed and operated in a specific orientation. Therefore, they should not be construed as limiting the scope of protection of this invention.
[0029] The foregoing has shown and described the basic principles, main features, and advantages of the present invention. Those skilled in the art should understand that the present invention is not limited to the above embodiments. The embodiments and descriptions in the specification are merely illustrative of the principles of the invention. Various changes and modifications can be made to the invention without departing from its spirit and scope, and all such changes and modifications fall within the scope of the present invention as claimed. The scope of protection of the present invention is defined by the appended claims and their equivalents.
Claims
1. A touch-controlled hidden smart bathroom mirror interaction system, characterized in that: include: The system includes a touch-sensitive hidden interaction module, a multimodal perception module, an intelligent control module, a hidden display driver module, a privacy protection module, a cloud collaboration module, and an environmental adaptive adjustment module, among which: The system includes a hidden touch interaction module for receiving user touch commands; a multimodal sensing module for collecting bathroom environment parameters and user status data, and outputting relevant data; an intelligent control module for establishing data connections with various functional modules; a hidden display driver module for receiving commands from the intelligent control module and adaptively adjusting display parameters based on ambient brightness; a privacy protection module for local feature extraction and encryption of user privacy data; a cloud collaboration module for data synchronization, algorithm iteration, and multi-device linkage with the intelligent control module; and an environmental adaptive adjustment module for automatically adjusting the system's touch sensitivity, display parameters, and response strategy based on environmental parameters collected by the multimodal sensing module.
2. The touch-controlled hidden smart bathroom mirror interaction system according to claim 1, characterized in that: The accidental touch filtering algorithm of the touch-hidden interaction module specifically includes: collecting current ambient humidity data; when the ambient humidity is greater than a preset threshold, automatically increasing the pressure threshold and contact time threshold for touch recognition; and filtering non-human instantaneous touch signals by recognizing the continuity of the touch operation trajectory, thereby achieving accurate filtering of accidental touches caused by water vapor and water stains.
3. The touch-controlled hidden smart bathroom mirror interaction system according to claim 1, characterized in that: The user status data collected by the multimodal perception module includes the coordinates of key points on the user's face, the angle of head movements, and the trajectory of hand gestures. Through a feature-level fusion strategy, it achieves accurate recognition of user movements and supports assisted interaction based on head movements and hand gestures, thus overcoming the limitations of single touch interaction.
4. The touch-controlled hidden smart bathroom mirror interaction system according to claim 1, characterized in that: The preset algorithms of the intelligent control module include: touch command parsing algorithm, environmental parameter adaptation algorithm, user state recognition algorithm, display content scheduling algorithm and multi-module collaborative control algorithm. Among them, the user state recognition algorithm, combined with a deep learning model, can realize user identity recognition, usage scenario judgment and output personalized control commands.
5. The touch-controlled hidden smart bathroom mirror interaction system according to claim 1, characterized in that: The hidden display driver module supports switching between multiple display modes, including beauty mode, washing mode, and health monitoring mode. Different modes display corresponding personalized content, and all displayed content can be hidden with one click via touch command, leaving no trace after being hidden.
6. A control method for a touch-controlled hidden smart bathroom mirror interaction system, characterized in that: Includes the following steps: S1: System initialization: The intelligent control module starts up, drives each functional module to complete self-test, the multimodal perception module starts to collect initial parameters of the bathroom environment, the touch hidden interaction module enters standby mode, the hidden display driver module is in display hidden mode, and the privacy protection module starts the privacy data encryption mechanism. S2: Environmental Adaptive Calibration: The intelligent control module receives the initial environmental parameters collected by the multimodal perception module, and adjusts the touch sensitivity threshold of the touch-hidden interaction module and the initial display parameters of the hidden display driver module through the environmental parameter adaptation algorithm to complete the adaptation of the system to the current bathroom environment. S3: Touch Interaction Recognition: The hidden touch interaction module detects user touch operations in real time, filters out false touch signals through a false touch filtering algorithm, parses valid touch operations, generates standardized touch commands, and transmits them to the intelligent control module; S4: Multimodal data collaborative processing: While receiving touch commands, the intelligent control module also receives real-time environmental parameters and user status data collected by the multimodal perception module. Combined with preset algorithms, it determines the user's interaction intent and the current usage scenario, and generates corresponding control commands. S5: Hidden Interactive Response: The intelligent control module transmits control commands to the hidden display driver module and the environmental adaptive adjustment module respectively. The hidden display driver module drives the display unit to present the corresponding content according to the command, and the environmental adaptive adjustment module dynamically adjusts the system interaction parameters according to the real-time environmental parameters. If the user triggers the hidden command, the hidden display driver module immediately turns off the display and restores the hidden state. S6: Privacy Protection and Data Synchronization: The privacy protection module encrypts user privacy data in real time, and automatically cleans up locally stored privacy data after a preset period of time; The cloud collaboration module synchronizes non-privacy data, receives algorithm optimization parameters from the cloud, and updates the preset algorithm of the intelligent control module. S7: System Standby and Wake-up: When there is no touch operation or user status change for more than a preset time, the system enters standby mode to reduce the power consumption of each module; when the touch hidden interaction module detects a valid touch operation, or the multimodal sensing module detects that the user is approaching, the system automatically wakes up and resumes normal interaction.
7. The control method for a touch-controlled hidden smart bathroom mirror interaction system according to claim 6, characterized in that: In step S3, the analysis of effective touch operations by the touch-hidden interaction module includes: identifying the type of touch operation, touch position coordinates and touch duration, and converting the above information into standardized touch commands. The sliding touch commands include sliding direction and sliding distance parameters, which are used to realize the switching of display content and parameter adjustment functions.
8. The control method for a touch-controlled hidden smart bathroom mirror interaction system according to claim 6, characterized in that: In step S4, the intelligent control module determines the user's interaction intent by combining touch commands, user facial features, head movements, and environmental parameters to determine the user's current usage scenario. If the user is identified as a preset user, the module outputs the user's personalized interaction commands, including preset display content, brightness parameters, and interaction sensitivity.
9. The control method for a touch-controlled hidden smart bathroom mirror interaction system according to claim 6, characterized in that: In step S6, the privacy data includes user facial feature data, usage habit data, and health monitoring data. The encryption process uses an asymmetric encryption algorithm, and the automatic cleanup time of local privacy data can be customized via touch commands.
10. The control method of a touch-controlled hidden smart bathroom mirror interaction system according to claim 6, characterized in that: In step S7, the system wake-up methods include touch wake-up and user proximity wake-up. User proximity wake-up detects the distance between the user and the system through a multimodal sensing module. When the distance is less than a preset threshold, the system is automatically woken up. In standby mode, the multimodal sensing module maintains low power consumption and only detects user proximity and sudden changes in environmental parameters.