Intelligent hair curler based on user feedback, control system and method

Abstract

The invention discloses an intelligent hair curler based on user feedback and a control system and method.The intelligent hair curler comprises a hair curling base, one side of the top end of the hair curling base is rotationally connected with a first hair curling plate, the top end of the first hair curling plate is fixedly provided with a hair curling table, and the top end of the hair curling table is rotationally connected with a hair curling bar; according to the automatic hair curling machine, the timer, the hair curling rod and the hair clamping rod are arranged, the effect consistency is guaranteed through automatic separation timing, and heat damage is reduced; a buzzer and a vibration motor are arranged, so that visual sense, tactile sense and auditory sense reminding is realized; a control system is arranged, satisfaction feedback of each time of a user is collected through a mobile phone App, self-learning and evolution are carried out through the data, and a more and more accurate personalized modeling scheme is formed for each user; the LED lamp ring progress bar is arranged, the LED lamp ring progress bar is composed of 20 lamp points arranged in a circle, and the LED lamp ring progress bar is free of visual angle limitation, visual and easy to understand and more suitable for the scene compared with a digital screen.

Description

Technical Field

[0001] This invention relates to the field of hair curling iron technology, specifically to an intelligent hair curling iron, control system, and method based on user feedback. Background Technology

[0002] Curling irons, also known as hair straighteners or hair curlers, are one of the most widely used hair styling tools in the hair industry in recent years. They are popular in the hair styling circle for their quick styling effect. Curling irons are very easy to use. After heating them up, you can use different techniques to style your hair and easily create a variety of fashionable and delicate styles. Curling irons are very easy to use, and even beginners who have never used them before can easily get started. Using curling irons not only saves you from spending a long time getting your hair permed at the hair salon, but also makes styling your hair in the morning more convenient and faster.

[0003] However, traditional curling irons have the following drawbacks:

[0004] (1) Traditional hair curlers rely on feeling to time the hair, which can easily cause some strands of hair to be overheated, resulting in heat damage and brittleness, while others are underheated, resulting in short-lasting styles and quick straightening.

[0005] (2) Traditional curling irons produce inconsistent styling results and cannot accurately replicate successful styles, resulting in slight differences in the effect each time they are used.

[0006] (3) When using traditional curling irons, users need to constantly look up at the clock or count silently in their minds, which is a tense process and makes it impossible to relax.

[0007] (4) All users use the same set of parameters, which cannot adapt to the different hair types and styling needs;

[0008] (5) Traditional curling irons cannot learn from users’ experience and will always be “newbies”. Summary of the Invention

[0009] The purpose of this invention is to provide a smart hair curler, control system, and method based on user feedback, to solve the problems mentioned in the background art. Traditional hair curlers rely on intuition for timing, which can easily lead to some hair strands being overheated, causing heat damage and becoming brittle, while others are underheated, resulting in short-lasting styles and quick straightening. Traditional hair curlers also produce inconsistent styling results, making it impossible to accurately replicate successful styles, with subtle differences in the results each time. Furthermore, traditional hair curlers require users to constantly look up at the clock or count silently, creating a tense and unrelaxing process. All users use the same set of parameters, which cannot adapt to the diverse hair types and styling needs. Finally, traditional hair curlers cannot learn from user experience, leaving users perpetually with a "newbie" problem.

[0010] To achieve the above objectives, the present invention provides the following technical solution: a smart hair curler based on user feedback, comprising a curling base, a first curling plate rotatably connected to one side of the top of the curling base, a curling table fixedly installed on the top of the first curling plate, curling irons rotatably connected to the top of the curling table, a second curling plate rotatably connected to the other side of the top of the curling base, a length plate fixedly installed on the top of the second curling plate, a hair clamp fixedly installed on one side of the length plate, and hair clamps fixedly installed at both ends of one side of the hair clamp. The top of the curling base... An LED light ring progress bar is fixedly installed. A timer is fixedly installed in the middle of one side of the curling base. A manual switch is fixedly installed at the top of one side of the curling base. A device interface is opened at the bottom of one side of the curling base. A buzzer is fixedly installed at the bottom of the other side of the curling base. A Bluetooth communicator is fixedly installed at the bottom of the curling base. A main control chip is fixedly installed inside the curling base. The LED light ring progress bar consists of multiple light points arranged in a circle. It has no viewing angle limitation, is intuitive and easy to understand, and is more suitable for this scenario than a digital screen. The buzzer provides real-time sound reminders.

[0011] As a preferred embodiment of the present invention, a vibration motor is fixedly installed inside the first curling iron. The output end of the vibration motor is fixedly connected to the end of the curling iron that is directly opposite to it. The vibration motor is used to remind the hair to finish the countdown, thus providing both visual and tactile reminders. The vibration motor drives the curling iron to rotate, and the curling iron curls the hair.

[0012] As a preferred embodiment of the present invention, temperature sensors are fixedly installed on the surfaces of the two hair clippers and the curling iron, and the temperature sensors sense the temperature of the hair clippers and the curling iron in real time.

[0013] The present invention provides a control system for a user-feedback-based intelligent hair curler, comprising a control system including a user profile module, a styling target module, a device control module, a feedback collection module, a data storage module, and a logic learning module;

[0014] The user profile module collects data on: hair texture (fine / soft, normal, coarse / stiff, thin, medium, thick), hair length (short, shoulder-length, long), and historical damage.

[0015] The styling target module provides preset templates such as natural large curls and elastic waves, and also supports users to upload reference images;

[0016] The device control module synchronizes the recommended parameters temperature and single strand time to the curling iron (7) via Bluetooth;

[0017] The feedback collection module sends a notification after each use;

[0018] Each time the data storage module is used, it generates and stores a data packet, including user profile, usage parameters, and feedback results;

[0019] The logic learning module evolves through a continuous cycle of execution, feedback, learning, optimization, and execution.

[0020] As a preferred embodiment of the present invention, the feedback collection module includes a formal feedback unit, a fine-tuning instruction unit, and a dynamic fine-tuning unit;

[0021] The formal feedback unit provides an overall rating of 1-5 stars;

[0022] The fine-tuning instruction unit makes fine adjustments based on feedback instructions, such as adjusting the corresponding time for more obvious curl, adjusting the corresponding time for more natural curl, and adjusting the corresponding temperature or time for insufficient durability.

[0023] The dynamic fine-tuning unit makes fine adjustments during use.

[0024] As a preferred embodiment of the present invention, the logic learning module includes an execution unit, a feedback unit, a learning unit, and an optimization unit;

[0025] The execution unit records the hair quality and target, and recommends 8 seconds;

[0026] The feedback unit records customer A's fine, soft hair in the database. They want natural curls, but 8 seconds of feedback is insufficient, so it needs to be increased to 10 seconds.

[0027] The learning unit trains a prediction model that directly predicts the styling parameters that the user is most satisfied with based on the input features. When the system detects that there is insufficient current user data, such as for new users, or when the user is trying a brand new styling with scarce personal historical data, this auxiliary mode is automatically activated.

[0028] The optimization unit directly provides a parameter that has been empirically optimized and has a higher success rate for curling.

[0029] As a preferred embodiment of the present invention, the learning unit includes a feature input submodule, a model output submodule, and a training data submodule;

[0030] The feature input submodule takes in the user's static features: hair quality, hair volume, length, historical damage level, dynamic context features, the target style selected this time, environmental humidity, historical feedback features, and the user's average rating for similar styles in the past.

[0031] The model outputs the optimal temperature and heating time predicted by the submodule;

[0032] The training data submodule is trained using historical data packets from all users, with each data packet containing input features, actual parameters used, and user ratings.

[0033] This invention discloses a method for using a smart hair curler based on user feedback, comprising the following steps:

[0034] Step 1: Style Selection: Select the corresponding style from the hair quality database, choose the desired style, and connect to the Bluetooth communicator via Bluetooth module.

[0035] Step 2, Parameter Setting: The control system sets the relevant parameters of the curling iron according to the selected style;

[0036] Step 3: Curling and straightening hair: Curl and straighten hair using a curling iron and a hair straightener as needed, with a timer keeping track of the time and a temperature sensor monitoring the temperature in real time.

[0037] Compared with the prior art, the beneficial effects of the present invention are:

[0038] 1. By setting timers, curling irons, and hair straighteners, and using automatic timing by separating strands, consistent results can be ensured and heat damage reduced;

[0039] 2. By setting up a buzzer and a vibration motor, visual, tactile, and auditory alerts are achieved;

[0040] 3. By setting up a control system and collecting user satisfaction feedback through a mobile app, the system can learn and evolve using this data to create increasingly accurate personalized styling solutions for each user.

[0041] 4. By setting an LED light ring progress bar, which consists of 20 LED dots arranged in a circle, there is no viewing angle limitation, making it intuitive and easy to understand, and more suitable for this scenario than a digital screen;

[0042] 5. By setting up a logical learning module, the 'cold start' problem is cleverly solved: In new users or new scenarios, collaborative filtering provides an intelligent initial value based on group experience, avoiding the 'blind men and the elephant' problem; it achieves 'personalized deepening' of learning: through model prediction, the system captures each user's unique and subtle preferences, no longer limited to mass recommendations, and truly forms a 'personalized' solution; it forms a self-reinforcing closed loop, providing high-quality initial data and supplements, using this data to become stronger, thereby providing users with more accurate recommendations, attracting more feedback, and further optimizing the required data pool. Attached Figure Description

[0043] Figure 1 This is the front view of the present invention;

[0044] Figure 2 This is a rear view of the present invention;

[0045] Figure 3This is a schematic diagram of the architecture of the control system of the present invention;

[0046] Figure 4 This is a flowchart of the present invention;

[0047] Figure 5 This is the overall system block diagram of the present invention;

[0048] Figure 6 This is a flowchart illustrating the operation of the present invention;

[0049] Figure 7 This is a sketch / flowchart of the App interface of the present invention;

[0050] Figure 8 This is a data learning closed-loop diagram for the present invention.

[0051] In the diagram: 1. Curling base; 2. Timer; 3. Manual switch; 4. LED progress bar; 5. First curling plate; 6. Curling table; 7. Curling iron; 8. Second curling plate; 9. Length plate; 10. Hair clamp; 11. Main control chip; 12. Hair clamp; 13. Vibration motor; 14. Buzzer; 15. Temperature sensor; 16. Bluetooth communicator; 17. Device interface. Detailed Implementation

[0052] The technical solutions of the present invention will be clearly and completely described below with reference to the embodiments of the present invention. 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 of ordinary skill in the art without creative effort are within the scope of protection of the present invention.

[0053] Please see Figure 1-8This invention provides a smart hair curler based on user feedback, comprising a curling base 1, a first curling plate 5 rotatably connected to one side of the top of the curling base 1, a curling table 6 fixedly mounted on the top of the first curling plate 5, a curling iron 7 rotatably connected to the top of the curling table 6, a second curling plate 8 rotatably connected to the other side of the top of the curling base 1, a length plate 9 fixedly mounted on the top of the second curling plate 8, a hair clip 12 fixedly mounted on one side of the length plate 9, and hair clips 10 fixedly mounted at both ends of one side of the hair clip 12. An LED light is fixedly mounted on the top of the curling base 1. The progress bar 4 has a timer 2 fixedly installed in the middle of one side of the hair curling base 1, a manual switch 3 fixedly installed at the top of one side of the hair curling base 1, a device interface 17 opened at the bottom of one side of the hair curling base 1, a buzzer 14 fixedly installed at the bottom of the other side of the hair curling base 1, a Bluetooth communicator 16 fixedly installed at the bottom of the hair curling base 1, and a main control chip 11 fixedly installed inside the hair curling base 1. The LED progress bar 4 has 20 LED dots arranged in a circle, with no viewing angle limitation, and is intuitive and easy to understand. It is more suitable for this scenario than a digital screen. The buzzer 14 provides real-time sound reminders.

[0054] A vibration motor 13 is fixedly installed inside the first curling plate 5. The output end of the vibration motor 13 is fixedly connected to the end of the curling iron 7 that is directly opposite to it. The vibration motor 13 is used for countdown end reminder, realizing visual and tactile reminder. The vibration motor 13 drives the curling iron 7 to rotate, and the curling iron 7 performs curling operation on the hair strands.

[0055] Temperature sensors 15 are fixedly installed on the surfaces of the two hair clippers 10 and the curling iron 7. The temperature sensors 15 sense the temperature of the hair clippers 10 and the curling iron 7 in real time.

[0056] The present invention provides a control system for a user-feedback-based intelligent hair curler, comprising a control system, which includes a user profile module, a styling target module, a device control module, a feedback collection module, a data storage module, and a logic learning module.

[0057] The user profile module collects data on: hair texture (fine / soft, normal, coarse / stiff, thin, medium, thick), hair length (short, shoulder-length, long), and historical damage.

[0058] The styling target module provides preset templates such as natural large curls and elastic waves, and also supports users to upload reference images;

[0059] The device control module synchronizes recommended parameters such as temperature and single strand time to the curling iron 7 via Bluetooth;

[0060] The feedback collection module sends a notification after each use;

[0061] Each time the data storage module is used, it generates and stores a data packet, including user profile, usage parameters, and feedback results;

[0062] The logic learning module evolves through a continuous cycle of execution, feedback, learning, optimization, and execution.

[0063] The feedback collection module includes a formal feedback unit, a fine-tuning instruction unit, and a dynamic fine-tuning unit;

[0064] The formal feedback unit provides an overall rating of 1-5 stars;

[0065] The fine-tuning instruction unit makes fine adjustments based on feedback instructions, such as adjusting the corresponding time for more obvious curl, adjusting the corresponding time for more natural curl, and adjusting the corresponding temperature or time for insufficient durability.

[0066] The dynamic fine-tuning unit makes fine adjustments during use.

[0067] The logic learning module includes an execution unit, a feedback unit, a learning unit, and an optimization unit;

[0068] The execution unit records the hair quality and target, and recommends 8 seconds;

[0069] The feedback unit records customer A's fine, soft hair in the database. They want natural curls, but 8 seconds of feedback is insufficient, so it needs to be increased to 10 seconds.

[0070] The learning unit trains a prediction model that directly predicts the styling parameters that the user is most satisfied with based on the input features. When the system detects that there is insufficient current user data, such as for new users, or when the user is trying a brand new styling with scarce personal historical data, this auxiliary mode is automatically activated.

[0071] The optimization unit directly provides a parameter that has been empirically optimized and has a higher success rate for curling.

[0072] The learning unit includes a feature input submodule, a model output submodule, and a training data submodule;

[0073] The feature input submodule takes in the user's static features: hair quality, hair volume, length, historical damage level, dynamic context features, the target style selected this time, environmental humidity, historical feedback features, and the user's average rating for similar styles in the past.

[0074] The model outputs the optimal temperature and heating time predicted by the submodule;

[0075] The training data submodule is trained using historical data packets from all users, with each data packet containing input features, actual parameters used, and user ratings.

[0076] This invention discloses a method for using a smart hair curler based on user feedback, comprising the following steps:

[0077] Step 1, Style Selection: Select the corresponding style from the hair quality profile library, choose the desired style, and connect to the Bluetooth communicator 16 via Bluetooth module;

[0078] Step 2, Parameter Setting: The control system sets the relevant parameters of the curling iron 7 according to the selected style;

[0079] Step 3: Curling and straightening hair: Curling and straightening hair is performed using curling iron 7 and hair straightener 10 according to the hairstyle requirements, while timer 2 keeps track of the time in real time and temperature sensor 15 monitors the temperature in real time.

[0080] Example 1:

[0081] In this invention, in its initial state, the "hairdresser" only knows the general rules from textbooks: "Fine, soft hair, naturally curly, 8 seconds recommended." It will recommend 8 seconds to all users with fine, soft hair, serving the first customer (your first use). Observing, it records your hair type (fine, soft) and goal (naturally curly), and recommends 8 seconds. Gathering feedback, after completion, you tell it through the app: "The curl is too weak, next time it needs to be curlier." (This is equivalent to a "fine-tuning instruction"). Summarizing experience, it records in its "work log" (database): "Customer A (fine, soft hair, wants natural curls), 8 seconds is insufficient, needs to be increased to 10 seconds." Serving more customers (accumulating data), it continuously serves more customers, and the records in the log become increasingly rich. The more it does, the more patterns it discovers. "Most people with fine, soft hair feel 8 seconds isn't enough and prefer 10 seconds." "But those with very little fine, soft hair feel 10 seconds is just right, and those with more hair add 12 seconds." Becoming a top-notch personal stylist (creating customized solutions), when you (or another user with similar hair type) choose "natural curls" again, it won't mechanically recommend 8 seconds. It will consult its work logs and, based on your unique hair profile, directly provide a parameter optimized by "experience," with a higher success rate: "10 seconds is recommended for you." It can even create a customized "Xiao Li Weekend Party Curls" pattern for you because, through repeated learning, it has found the "exclusive formula" that will satisfy you the most.

[0082] Example 2:

[0083] In this invention, after the user sets their hair type and target, the system inputs the current features into a pre-trained model. The model directly outputs a personalized recommendation parameter. This recommendation parameter becomes increasingly accurate as the user provides more feedback data, i.e., as their personal data package becomes richer. The system performs several steps: finding neighbors (quickly identifying users with the most similar hair type profiles across the entire user base); aggregating and optimizing parameters (selecting users who gave high ratings (e.g., ≥4 stars) to the current target hairstyle from among these similar users); generating a recommendation (calculating a weighted average of the parameters used by these high-rated users to obtain a reliable "popular" parameter, which serves as the recommendation value); and determining the relationship with the subject (this recommendation result generated by the B-mode is recorded and used as a new data point for retraining the subsequent machine learning model, thus promoting the continuous evolution of the subject model).

[0084] Example 3:

[0085] In this invention, in conjunction with the appendix to the specification... Figure 5 The intelligent curling iron 7 (hardware), mobile app (interaction and control), and cloud server (brain and memory) are connected via Bluetooth and the Internet to work together. "Data uplink (learning process)": After each use, the curling iron 7 packages the 'hair quality parameters, usage parameters, and user feedback' via the mobile app and sends it to the cloud database for storage. This is the process of the system 'accumulating experience'. "Data downlink (intelligent performance)": When a user sets a new hairstyle, the cloud-based machine learning model calls historical data from the database, performs calculations and optimizations, generates a personalized 'recommended parameter', and then sends it to the curling iron 7 for execution via the app and Bluetooth.

[0086] Example 4:

[0087] In this invention, in conjunction with the appendix to the specification... Figure 7 ,

[0088] The homepage, the core function and application entry point, guides users through a new styling session. Elements include the "Start Styling" main button; quick access to past styling options (e.g., "Xiaoli's Weekend Party Curls"); the HairProfile page to ensure accurate user data-based recommendations; dropdown menus or selection buttons for setting hair type, volume, length, and damage level; a "Next" button; the Style Selection page, allowing users to define their styling goals; a grid of preset styling templates (with images and names); an "Upload My Image" button; a "Next" button; and the Sync & Parameters page, showcasing the system's intelligence and sending data to the hardware. Elements include a clearly displayed recommended temperature and heating time per strand; a large "Sync to Curling Iron 7" button; a Bluetooth connection status icon; and a "Ready" and push notifications page. The system enables a smooth transition between scenarios (from mobile operation to physical styling) and requests feedback at the optimal time with prompts such as: "The equipment is ready, please start styling!", small print prompts; and push notifications (several hours later) stating: "We will check with you on the styling results later." It also non-intrusively asks: "Do you like today's curly hairstyle? Click to rate it~," followed by a feedback page, which is the core data entry point for the entire learning cycle. This includes a 1-5 star rating system, fine-tuning options such as "too weak curls" / "too strong curls" / "just right," a "Submit" button, a submission success page (Thank You), providing positive feedback to the user, completing the loop, and a thank-you message: "Thank you for your feedback, it helps us understand you better!", and a "Return to Homepage" button.

[0089] Although the present invention has been described in detail with reference to the foregoing embodiments, those skilled in the art can still modify the technical solutions described in the foregoing embodiments or make equivalent substitutions for some of the technical features. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of the present invention should be included within the protection scope of the present invention.

Claims

1. A smart hair curler based on user feedback, comprising a curling base (1), characterized in that: A first curling plate (5) is rotatably connected to one side of the top of the curling base (1). A curling table (6) is fixedly installed on the top of the first curling plate (5). A curling iron (7) is rotatably connected to the top of the curling table (6). A second curling plate (8) is rotatably connected to the other side of the top of the curling base (1). A length plate (9) is fixedly installed on the top of the second curling plate (8). A hair clip (12) is fixedly installed on one side of the length plate (9). Hair clips (10) are fixedly installed at both ends of one side of the hair clip (12). An LED light ring progress bar (4) is fixedly installed at the top of the hair curling base (1). A timer (2) is fixedly installed in the middle of one side of the hair curling base (1). A manual switch (3) is fixedly installed at the top of one side of the hair curling base (1). A device interface (17) is opened at the bottom of one side of the hair curling base (1). A buzzer (14) is fixedly installed at the bottom of the other side of the hair curling base (1). A Bluetooth communicator (16) is fixedly installed at the bottom of the hair curling base (1). A main control chip (11) is fixedly installed inside the hair curling base (1).

2. The intelligent hair curler based on user feedback according to claim 1, characterized in that: A vibration motor (13) is fixedly installed inside the first curling plate (5), and the output end of the vibration motor (13) is fixedly connected to the end of the curling iron (7) facing each other.

3. The intelligent hair curler based on user feedback according to claim 1, characterized in that: Temperature sensors (15) are fixedly installed on the surfaces of the two hair clippers (10) and the curling iron (7).

4. The control system of an intelligent hair curler based on user feedback according to any one of claims 1-3, comprising a control system, characterized in that: The control system includes a user profile module, a modeling target module, an equipment control module, a feedback collection module, a data storage module, and a logic learning module. The user profile module collects data on: hair texture (fine / soft, normal, coarse / stiff, thin, medium, thick), hair length (short, shoulder-length, long), and historical damage. The styling target module provides preset templates such as natural large curls and elastic waves, and also supports users to upload reference images; The device control module synchronizes the recommended parameters temperature and single strand time to the curling iron (7) via Bluetooth; The feedback collection module sends a notification after each use; Each time the data storage module is used, it generates and stores a data packet, including user profile, usage parameters, and feedback results; The logic learning module evolves through a continuous cycle of execution, feedback, learning, optimization, and execution.

5. The control system of claim 4, wherein: The feedback collection module includes a formal feedback unit, a fine-tuning instruction unit, and a dynamic fine-tuning unit; The formal feedback unit provides an overall rating of 1-5 stars; The fine-tuning instruction unit makes fine adjustments based on feedback instructions, such as adjusting the corresponding time for more obvious curl, adjusting the corresponding time for more natural curl, and adjusting the corresponding temperature or time for insufficient durability. The dynamic fine-tuning unit makes fine adjustments during use.

6. The control system of claim 4, wherein: The logic learning module includes an execution unit, a feedback unit, a learning unit, and an optimization unit; The execution unit records the hair quality and target, and recommends 8 seconds; The feedback unit records customer A's fine, soft hair in the database. They want natural curls, but 8 seconds of feedback is insufficient, so it needs to be increased to 10 seconds. The learning unit trains a prediction model that directly predicts the styling parameters that the user is most satisfied with based on the input features. When the system detects that there is insufficient current user data, such as for new users, or when the user is trying a brand new styling with scarce personal historical data, this auxiliary mode is automatically activated. The optimization unit directly provides a parameter that has been empirically optimized and has a higher success rate for curling.

7. The control system for a user-feedback-based intelligent hair curler according to claim 6, characterized in that: The learning unit includes a feature input submodule, a model output submodule, and a training data submodule; The feature input submodule takes in the user's static features: hair quality, hair volume, length, historical damage level, dynamic context features, the target style selected this time, environmental humidity, historical feedback features, and the user's average rating for similar styles in the past. The model outputs the optimal temperature and heating time predicted by the submodule; The training data submodule is trained using historical data packets from all users, with each data packet containing input features, actual parameters used, and user ratings.

8. A method of using a user-feedback-based intelligent hair curler according to any one of claims 1-7, characterized in that, Includes the following steps: Step 1, Styling Selection: Select the corresponding styling library through the hair quality profile, choose the desired style, and connect to the Bluetooth communicator (16) via the Bluetooth module; Step 2, Parameter Setting: The control system sets the relevant parameters of the curling iron (7) according to the selected style; Step 3: Curling and straightening hair: Curling and straightening hair is performed using a curling iron (7) and a hair straightener (10) according to the hairstyle requirements, and a timer (2) keeps time in real time, while a temperature sensor (15) monitors the temperature in real time.

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