Intelligent interactive toy based on emotion recognition and management and emotion monitoring method thereof

Abstract

The invention discloses an intelligent interactive toy based on emotion recognition and management and an emotion monitoring method thereof, and relates to the technical field of intelligent toys, the intelligent interactive toy comprises a toy body, and further comprises a built-in sensor assembly used for capturing facial expressions, voices and intonations and body languages of children; the emotion recognition module is connected to the sensor assembly and used for analyzing the captured information to recognize the emotion state of the child; the interactive feedback module is used for conducting emotion guidance and management on the children through story telling, music playing or interactive games according to the recognized emotion states, and feedback content can be customized in a personalized mode according to the ages, genders and interests of the children; and the application program interface is used for communicating with an external application program, so that parents can monitor the emotion change of children and the interaction effect with the toy, and the intelligent interaction toy scheme based on emotion recognition and management provided by the invention improves the accuracy and reliability of emotion recognition, and also provides a personalized emotion guide management function.

Description

Technical Field

[0001] The present invention relates to the technical field of intelligent toys, and in particular to an intelligent interactive toy based on emotion recognition and management and an emotion monitoring method thereof. Background Art

[0002] With the rapid development of science and technology and the increasing attention paid to children's mental health, the development of intelligent interactive toys that can effectively monitor and guide children's emotions has become a hot topic in the current market and research field. Traditional toys are mostly limited to entertainment functions and lack deep interaction with children's emotions and personalized feedback. In recent years, although there have been some attempts to apply sensor technology and simple artificial intelligence algorithms to children's toys, these attempts are often limited by technical levels and design concepts, and cannot accurately and comprehensively capture children's emotional changes and provide effective emotional guidance and management.

[0003] Most of the emotion recognition technologies currently available on the market rely on a single sensor, such as recognizing emotions only through facial expressions or voice intonation. This method is easily affected by factors such as environmental noise and individual differences among children, resulting in low recognition accuracy and high false alarm rates. In addition, most existing toys use preset fixed feedback modes for emotion guidance, which lack personalization and adaptability and are difficult to meet the diverse emotional needs of children. Summary of the invention

[0004] In order to overcome the shortcomings of the prior art, the purpose of the present invention is to provide an intelligent interactive toy based on emotion recognition and management and an emotion monitoring method thereof. By integrating a variety of high-precision sensor components, including cameras, microphones and touch sensors, the toy can comprehensively capture children's facial expressions, voice intonations, body language and other multi-dimensional emotional information, and perform real-time and accurate emotion recognition through advanced machine learning algorithms, provide children with personalized emotional guidance, enhance the interaction and communication between parents and children, so as to solve the problem that traditional toys have poor interactive effects and cannot flexibly adjust emotional guidance and feedback according to children's actual emotional state.

[0005] To achieve the above object, the present invention provides the following technical solutions:

[0006] An intelligent interactive toy based on emotion recognition and management comprises a toy body, and also comprises: a built-in sensor component for capturing a child's facial expression, voice intonation and body language, wherein the accuracy and sensitivity of the sensor component are adjustable to suit children of different ages and development stages;

[0007] an emotion recognition module, connected to the sensor assembly, for analyzing the captured information to identify the child's emotional state, the module using advanced machine learning algorithms to accurately identify multiple emotions in real time, including happiness, sadness, anger, surprise and fear;

[0008] The interactive feedback module guides and manages children's emotions through storytelling, music playing or interactive games based on the identified emotional state. The feedback content can be personalized according to the child's age, gender and interests.

[0009] An application programming interface is used to communicate with external applications so that parents can monitor their children's emotional changes and interactions with toys. It also provides data analysis functions to help parents better understand their children's emotional needs and behavioral patterns.

[0010] As a preferred technical solution of the present invention, the sensor component includes at least a camera, a microphone and a touch sensor, and these sensors can work together to provide more comprehensive emotion recognition data.

[0011] As a preferred technical solution of the present invention, the emotion recognition module adopts a machine learning algorithm, which can continuously learn and optimize to improve the accuracy and efficiency of emotion recognition.

[0012] As a preferred technical solution of the present invention, it also includes a security protection module for ensuring that the toy complies with privacy protection regulations when collecting and processing children's data and protecting the security of children's personal information.

[0013] As a preferred technical solution of the present invention, the interactive feedback module also includes an emotion regulation suggestion function, which can provide emotion regulation suggestions to parents based on the identified emotional state, helping parents to better understand and guide their children.

[0014] As a preferred technical solution of the present invention, the application program interface supports multiple device platforms, including smart phones, tablet computers and computers, etc., making it convenient for parents to monitor their children's emotional changes anytime and anywhere.

[0015] An emotion monitoring method for an intelligent interactive toy based on emotion recognition and management, comprising:

[0016] Capture children’s facial expressions, voice intonation and body language through sensor components;

[0017] Analyze the captured information using the emotion recognition module to identify the child’s emotional state;

[0018] Based on the identified emotional state, personalized emotion guidance and management are provided to children through interactive feedback modules;

[0019] Children's emotional changes and interactions with toys are transmitted to external applications through the application programming interface for parents to monitor and analyze. The application programming interface supports multiple device platforms, including smartphones, tablets and computers, making it convenient for parents to monitor their children's emotional changes anytime and anywhere; parents can use external applications to view their children's emotional change curves, interaction records with toys, and data analysis reports, so as to better understand their children's emotional needs and behavioral patterns.

[0020] As a preferred technical solution of the present invention, the steps of calibrating and optimizing the sensor components are also included to ensure the accuracy and reliability of emotion recognition. The steps of calibrating and optimizing the sensor components include:

[0021] Regularly calibrate sensor components to ensure the data they capture is accurate;

[0022] Based on actual usage, the sensitivity, accuracy and other parameters of the sensor components are optimized and adjusted to meet the needs of emotion recognition in different environments and conditions.

[0023] As a preferred technical solution of the present invention, the step of dynamically adjusting the content and method of the interactive feedback module according to the feedback from the parents and the emotional changes of the child is also included. The step of dynamically adjusting the content and method of the interactive feedback module according to the feedback from the parents and the emotional changes of the child includes:

[0024] Parents send feedback to the toy through an external app, such as wanting to add a certain type of interactive play or adjust the storytelling style;

[0025] The toy dynamically adjusts the content and method of the interactive feedback module based on parents' feedback and children's emotional changes to better meet children's needs.

[0026] As a preferred technical solution of the present invention, the step of regularly updating and optimizing the machine learning algorithm to improve the accuracy and adaptability of emotion recognition is also included. The step of regularly updating and optimizing the machine learning algorithm includes:

[0027] Regularly update and optimize machine learning algorithms, introduce new algorithm models or improve the performance of existing algorithms;

[0028] Through the continuous accumulation of data and experience, the algorithm is trained and optimized to improve the accuracy and adaptability of emotion recognition;

[0029] Ensure that the algorithm can recognize a wider variety of emotional states and more accurately judge children's emotional changes.

[0030] The present invention has the following benefits:

[0031] The present invention can more comprehensively understand the emotional state of children and reduce misjudgments caused by insufficient or erroneous data from a single sensor. At the same time, the application of machine learning algorithms makes emotion recognition more intelligent and adaptive, and can adapt to the emotional expressions and individual differences of different children; based on the recognized emotional state, the present invention can intelligently select personalized emotional guidance methods suitable for children, such as regulating children's emotions through storytelling, music playing or interactive games. This personalized feedback mode not only helps children better understand and manage their emotions, but also enhances the interactivity and fun of toys; the present invention communicates with external applications through an application program interface, allowing parents to monitor children's emotional changes and the interactive effects with toys in real time. This not only helps parents better understand their children's emotional state and needs, but also promotes communication and interaction between parents and children, and enhances the closeness of family relationships; the intelligent interactive toy solution based on emotion recognition and management proposed by the present invention not only improves the accuracy and reliability of emotion recognition, but also provides personalized emotion guidance and management functions, enhances the interaction and communication between parents and children, and ensures the safety of children's personal information, and can assist children with emotional expression disorders in intelligent emotional guidance and regulation. These beneficial effects make this solution have broad application prospects and market value in the fields of children's mental health education and smart toys. BRIEF DESCRIPTION OF THE DRAWINGS

[0032] Figure 1 The figure is a schematic diagram of the overall structure of an intelligent interactive toy based on emotion recognition and management.

[0033] Figure 2 The figure is a flow chart of the system modules in an intelligent interactive toy based on emotion recognition and management.

[0034] Figure 3 The present invention is a flowchart of an emotion monitoring method for an intelligent interactive toy based on emotion recognition and management.

[0035] In the figure: 1. Toy body; 2. Sensor component; 3. Emotion recognition module; 4. Interactive feedback module; 5. Application program interface. DETAILED DESCRIPTION

[0036] The preferred embodiments of the present invention are described below in conjunction with the accompanying drawings. It should be understood that the preferred embodiments described herein are only used to illustrate and explain the present invention, and are not used to limit the present invention.

[0037] Example 1, please refer to Figure 1-Figure 3 , an intelligent interactive toy based on emotion recognition and management, comprising a toy body 1, and also comprising: a built-in sensor component 2 for capturing a child's facial expression, voice intonation and body language, wherein the accuracy and sensitivity of the sensor component 2 are adjustable to suit children of different ages and development stages;

[0038] an emotion recognition module 3, connected to the sensor assembly 2, for analyzing the captured information to identify the emotional state of the child, the module using advanced machine learning algorithms, capable of real-time and accurate recognition of a variety of emotions, including happiness, sadness, anger, surprise and fear;

[0039] Interactive feedback module 4 guides and manages children’s emotions through storytelling, music playing or interactive games based on the identified emotional state. The feedback content can be personalized according to the child’s age, gender and interests.

[0040] Application program interface 5, used to communicate with external applications so that parents can monitor children's emotional changes and the effects of their interactions with toys, while providing data analysis functions to help parents better understand their children's emotional needs and behavior patterns;

[0041] The sensor component 2 includes at least a camera, a microphone and a touch sensor, and these sensors can work together to provide more comprehensive emotion recognition data, wherein sensor data collection and fusion can be achieved using the following formula;

[0042] S=W T ●D;

[0043] This formula represents the weighted fusion of sensor data, where S is the fused data vector, which represents the comprehensive data obtained and fused from multiple sensors; W is the weight vector, which is used to adjust the relative importance of different sensor data; D is a matrix containing the original data vectors from different sensors; by adjusting the weight W, the fusion result can be optimized and the accuracy of emotion recognition can be improved. It shows how to fuse data from high-definition cameras, high-sensitivity microphones, and multi-touch sensors into a comprehensive data vector for subsequent emotion recognition;

[0044] The camera can capture children's facial expressions and use image processing technology to extract facial features, such as the shape and position changes of eyes and mouth, as an important basis for emotion recognition; the microphone can record children's voices and extract voice features such as pitch, speaking speed and volume through voice analysis technology. These features can reflect the children's emotional state; the touch sensor can sense children's touch movements, such as strength, frequency and position. These movement information is also of reference value for emotion recognition.

[0045] The data collected by the sensors are processed by a fusion algorithm, which assigns weights according to the reliability and importance of each sensor, and fuses the multi-dimensional data into a comprehensive emotion feature vector to provide input for subsequent emotion recognition.

[0046] The emotion recognition module 3 adopts a machine learning algorithm, which can continuously learn and optimize to improve the accuracy and efficiency of emotion recognition; emotion recognition model: uses a machine learning algorithm such as a support vector machine, a neural network or a deep learning model to identify emotional states, based on Bayesian theorem, which can be implemented using the following formula:

[0047]

[0048] Among them, P(e|S) is the posterior probability of emotion e given the fused data S; P(S|e) is the conditional probability of observing data S given emotion e; P(e) is the prior probability of emotion e; P(S) is the total probability of observing data S, usually used as a normalization factor; This formula is used to calculate the posterior probability P(e|S) of emotion e given the fused data S. By comparing the posterior probabilities of different emotions, the emotion with the highest probability is selected as the recognition result; It shows how to use machine learning algorithms to identify children's emotional states;

[0049] Emotion recognition and classification: The fused emotion feature vectors are input into the machine learning model, which is trained with a large amount of labeled data and can accurately identify the types of emotions expressed by children, such as happiness, sadness, anger, surprise, and fear. The machine learning algorithm uses support vector machines (SVM), decision trees (DT), or deep learning algorithms such as convolutional neural networks (CNN) to classify emotion feature vectors. These algorithms can automatically extract features and classify them with high accuracy and generalization capabilities; Emotion classification: Based on the output of the algorithm, the emotional state of the child is classified into several predefined types, providing a basis for subsequent emotional guidance and management.

[0050] It also includes a security protection module to ensure that the toy complies with privacy protection regulations when collecting and processing children's data and protects the security of children's personal information.

[0051] The interactive feedback module 4 also includes an emotion regulation suggestion function, which can provide emotion regulation suggestions to parents based on the identified emotional state, helping parents to better understand and guide their children;

[0052]

[0053] Among them, FeedbackStrategy: represents the selected interactive feedback strategy; argmax: represents the parameter value that maximizes the function value; fs: represents the candidate interactive feedback strategy, which belongs to the strategy set FS;

[0054] ω i: represents the weight of the i-th emotion-context combination, which is used to adjust the impact of different emotion-context combinations on the final decision; Utility: represents the utility function, which is used to evaluate the effectiveness of a given strategy fs under a specific emotion. i and Context i The effect of

[0055] Emotion i Indicates the i-th emotional state; Context i represents the i-th context information; n: represents the total number of emotion-context combinations; This formula evaluates the overall effect of each candidate strategy fs by calculating the sum of weighted utilities under all emotion-context combinations. The higher the sum of weighted utilities, the better the strategy performs under different emotion-context combinations. By selecting the strategy with the largest sum of weighted utilities, we can ensure good interactive feedback effects in a variety of situations.

[0056] Personalized emotional guidance and management: Based on the identified emotional state, the smart interactive toy selects a personalized emotional guidance method suitable for children through a preset interactive mode library. Interactive mode library: Contains a variety of interactive modes, such as storytelling, music playing, interactive games, etc., each mode is associated with a specific emotional state; Personalized selection: Based on the child's age, gender, interests, and historical interaction records, the smart interactive toy can intelligently select the most suitable interactive mode for the current emotional state; Emotional regulation: By guiding children to participate in interactive games, listen to soothing music or listen to interesting stories, the smart interactive toy can effectively regulate the child's emotional state and keep it in a positive and healthy state of mind.

[0057] The application program interface 5 supports multiple device platforms, including smart phones, tablet computers and computers, making it convenient for parents to monitor their children's emotional changes anytime and anywhere: parent monitoring and data analysis; smart interactive toys also have parent monitoring and data analysis functions, which communicate with external applications through the application program interface 5, allowing parents to monitor children's emotional changes and the interaction effects with the toys in real time.

[0058] Real-time monitoring: Parents can view their children’s emotional state and interaction records in real time through mobile devices such as mobile phones, and understand their children’s psychological needs and interests.

[0059] Data analysis: Smart interactive toys can collect and analyze the interaction data between children and toys, generate emotion change reports and interaction effect evaluations, and provide parents with scientific parenting advice and guidance.

[0060] For children who have difficulty accurately identifying, expressing or managing their emotions, this toy provides an intuitive and fun way to learn these skills; children who need emotion regulation training include those with autism spectrum disorder (ASD), attention deficit hyperactivity disorder (ADHD) and other emotional regulation challenges, and this toy can be used as an auxiliary treatment tool; Age range: Considering the complexity and interactivity of the toy, it may be more suitable for children over 4 years old. Children of this age group can usually better understand stories, participate in interactive games, and have certain emotional cognitive abilities.

[0061] This device can help children improve their ability to recognize emotions: through the instant feedback and interaction of the toy, children can gradually learn to more accurately recognize the emotions conveyed by their facial expressions, voice intonation and body language; Improvement of emotional expression and communication: Through storytelling, music playing and interactive games, the toy encourages children to express emotions in verbal or non-verbal ways, thereby enhancing their communication skills; Enhancement of emotion management skills: Through the guidance of the toy, children can learn to manage their emotions in appropriate ways based on the recognition of emotions, such as deep breathing, relaxation techniques or seeking help.

[0062] The app allows parents to monitor their children's emotional changes and the interactive effects of the toy, which helps parents better understand their children's emotional state and provide timely support and guidance; enhance social skills: Although this toy is mainly for personal use, through interaction with the toy, children may develop better self-awareness and emotional management skills, which are equally important in social situations; in the long run, by effectively identifying, expressing and managing emotions, children may reduce the risk of mental health problems such as anxiety and depression, and promote mental health.

[0063] Example 2, please refer to Figure 1-Figure 3 , an emotion monitoring method of an intelligent interactive toy based on emotion recognition and management, comprising:

[0064] S1, capturing the child's facial expression, voice tone and body language through sensor component 2;

[0065] S2, analyzing the captured information using the emotion recognition module 3 to identify the emotional state of the child;

[0066] S3, providing personalized emotion guidance and management to children through interactive feedback module 4 according to the identified emotional state;

[0067] S4. The child's emotional changes and the effects of interaction with the toy are transmitted to an external application through the application program interface 5 for parents to monitor and analyze. The application program interface 5 supports multiple device platforms, including smart phones, tablet computers and computers, so that parents can monitor their children's emotional changes anytime and anywhere. Parents can view their children's emotional change curves, interaction records with toys and data analysis reports through external applications, so as to better understand their children's emotional needs and behavior patterns.

[0068] Specifically, the steps of calibrating and optimizing the sensor component 2 are also included to ensure the accuracy and reliability of emotion recognition. The steps of calibrating and optimizing the sensor component 2 include:

[0069] Regularly calibrate the sensor assembly 2 to ensure that the data it captures is accurate;

[0070] According to actual usage, the sensitivity, accuracy and other parameters of the sensor component 2 are optimized and adjusted to meet the needs of emotion recognition in different environments and conditions.

[0071] Specifically, the step of dynamically adjusting the content and method of the interactive feedback module 4 according to the feedback from the parents and the emotional changes of the child is also included. The step of dynamically adjusting the content and method of the interactive feedback module 4 according to the feedback from the parents and the emotional changes of the child includes:

[0072] Parents send feedback to the toy through an external app, such as wanting to add a certain type of interactive play or adjust the storytelling style;

[0073] The toy dynamically adjusts the content and method of the interactive feedback module 4 according to the parents' feedback and the children's emotional changes to better meet the children's needs.

[0074] Specifically, the method further includes the steps of regularly updating and optimizing the machine learning algorithm to improve the accuracy and adaptability of emotion recognition. The steps of regularly updating and optimizing the machine learning algorithm include:

[0075] Regularly update and optimize machine learning algorithms, introduce new algorithm models or improve the performance of existing algorithms;

[0076] Through the continuous accumulation of data and experience, the algorithm is trained and optimized to improve the accuracy and adaptability of emotion recognition; ensuring that the algorithm can recognize a wider variety of emotional states and more accurately judge children's emotional changes.

[0077] The intelligent interactive toy based on emotion recognition and management proposed in the present invention realizes the comprehensive and accurate capture and personalized guidance and management of children's emotions by integrating sensor technology, machine learning algorithms and personalized interactive design, bringing new breakthroughs and innovations to children's mental health education and the field of intelligent toys.

[0078] The standard parts used in the present invention can all be purchased from the market, and the special-shaped parts can be customized according to the description and the drawings. The specific connection methods of each part adopt conventional means such as mature bolts, rivets, welding, etc. in the prior art. The machinery, parts and equipment all adopt conventional models in the prior art, and the circuit connection adopts the conventional connection method in the prior art, which will not be described in detail here. The contents not described in detail in this specification belong to the prior art known to professional and technical personnel in this field.

[0079] In the description of the present invention, the terms "first" and "second" are used for descriptive purposes only and should not be understood as indicating or implying relative importance or implicitly indicating the number of the indicated technical features. Therefore, the features defined as "first" and "second" may explicitly or implicitly include one or more of the features. "Multiple" means two or more, unless otherwise clearly and specifically defined.

[0080] In the present invention, unless otherwise clearly specified and limited, the terms "installed", "connected", "connected", "fixed" and the like should be understood in a broad sense, for example, it can be a fixed connection, a detachable connection, or an integral connection; it can be a mechanical connection or an electrical connection; it can be a direct connection or an indirect connection through an intermediate medium, it can be the internal connection of two elements or the interaction relationship between two elements. For ordinary technicians in this field, the specific meanings of the above terms in the present invention can be understood according to specific circumstances.

[0081] In the present invention, unless otherwise clearly specified and limited, a first feature being "above" or "below" a second feature may mean that the first and second features are in direct contact, or the first and second features are in indirect contact through an intermediate medium. Moreover, a first feature being "above", "above" or "above" a second feature may mean that the first feature is directly above or obliquely above the second feature, or simply means that the first feature is higher in level than the second feature. A first feature being "below", "below" or "below" a second feature may mean that the first feature is directly below or obliquely below the second feature, or simply means that the first feature is lower in level than the second feature.

[0082] In the description of this specification, the description with reference to the terms "one embodiment", "some embodiments", "example", "specific example" or "some examples" etc. means that the specific features, structures, materials or characteristics described in conjunction with the embodiment or example are included in at least one embodiment or example of the present invention. In this specification, the schematic representations of the above terms do not necessarily refer to the same embodiment or example. Moreover, the specific features, structures, materials or characteristics described may be combined in any one or more embodiments or examples in a suitable manner. In addition, those skilled in the art may combine and combine the different embodiments or examples described in this specification and the features of the different embodiments or examples, unless they are contradictory.

[0083] In the drawings of the embodiments disclosed in the present invention, only the structures related to the embodiments disclosed in the present invention are involved, and other structures can refer to the general design. In the absence of conflict, the same embodiment and different embodiments of the present invention can be combined with each other.

[0084] Although the present invention has been described in detail with reference to the aforementioned embodiments, it is still possible for those skilled in the art to modify the technical solutions described in the aforementioned embodiments, or to make equivalent substitutions for some of the technical features therein. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principles of the present invention should be included in the protection scope of the present invention.

Claims

1. An intelligent interactive toy based on emotion recognition and management, comprising a toy body (1), characterized in that: Also includes: A built-in sensor component (2) is used to capture the child's facial expression, voice tone and body language, wherein the accuracy and sensitivity of the sensor component (2) are adjustable to suit children of different ages and development stages; an emotion recognition module (3), connected to the sensor assembly (2), for analyzing the captured information to identify the emotional state of the child, the module using advanced machine learning algorithms, capable of accurately identifying multiple emotions in real time, including happiness, sadness, anger, surprise and fear; Interactive feedback module (4), based on the identified emotional state, guides and manages the child's emotions through storytelling, music playing or interactive games. The feedback content can be personalized according to the child's age, gender and interests; The application program interface (5) is used to communicate with external applications so that parents can monitor the emotional changes of their children and the effects of their interactions with the toys. It also provides data analysis functions to help parents better understand their children's emotional needs and behavioral patterns.

2. The intelligent interactive toy based on emotion recognition and management according to claim 1, characterized in that: The sensor component (2) comprises at least a camera, a microphone and a touch sensor, and these sensors can work together to provide more comprehensive emotion recognition data.

3. The intelligent interactive toy based on emotion recognition and management according to claim 1, characterized in that: The emotion recognition module (3) adopts a machine learning algorithm, which can continuously learn and optimize to improve the accuracy and efficiency of emotion recognition.

4. The intelligent interactive toy based on emotion recognition and management according to claim 1, characterized in that: It also includes a security protection module to ensure that the toy complies with privacy protection regulations when collecting and processing children's data and protects the security of children's personal information.

5. The intelligent interactive toy based on emotion recognition and management according to claim 1, characterized in that: The interactive feedback module (4) also includes an emotion regulation suggestion function, which can provide parents with emotion regulation suggestions based on the identified emotional state, thereby helping parents to better understand and guide their children.

6. The intelligent interactive toy based on emotion recognition and management according to claim 1, characterized in that: The application program interface (5) supports multiple device platforms, including smart phones, tablet computers and computers, making it convenient for parents to monitor their children's emotional changes anytime and anywhere.

7. An emotion monitoring method based on the intelligent interactive toy according to claim 1, characterized in that: include: Capturing the child's facial expression, voice tone and body language through the sensor component (2); Analyze the captured information using the emotion recognition module (3) to identify the child's emotional state; Based on the identified emotional state, provide children with personalized emotional guidance and management through the interactive feedback module (4); The child's emotional changes and the effects of interaction with the toy are transmitted to an external application through an application program interface (5) for parents to monitor and analyze. The application program interface (5) supports a variety of device platforms, including smartphones, tablets and computers, so that parents can monitor their children's emotional changes anytime and anywhere. Parents can view their children's emotional change curves, interaction records with toys and data analysis reports through external applications, so as to better understand their children's emotional needs and behavior patterns.

8. The emotion monitoring method according to claim 7, characterized in that: The method further includes the steps of calibrating and optimizing the sensor component (2) to ensure the accuracy and reliability of emotion recognition, wherein the steps of calibrating and optimizing the sensor component (2) include: Regularly calibrate the sensor assembly (2) to ensure that the data it captures is accurate; According to actual usage, the sensitivity and accuracy parameters of the sensor component (2) are optimized and adjusted to meet the needs of emotion recognition in different environments and conditions.

9. The emotion monitoring method according to claim 7, characterized in that: The method further includes the step of dynamically adjusting the content and method of the interactive feedback module (4) according to the feedback from the parents and the emotional changes of the child. The step of dynamically adjusting the content and method of the interactive feedback module (4) according to the feedback from the parents and the emotional changes of the child includes: Parents send feedback to the toy through an external app, such as wanting to add a certain type of interactive play or adjust the storytelling style; The toy dynamically adjusts the content and method of the interactive feedback module (4) based on the parents' feedback and the child's emotional changes to better meet the child's needs.

10. The emotion monitoring method according to claim 7, characterized in that: The method also includes the steps of regularly updating and optimizing the machine learning algorithm to improve the accuracy and adaptability of emotion recognition, wherein the steps of regularly updating and optimizing the machine learning algorithm include: Regularly update and optimize machine learning algorithms, introduce new algorithm models or improve the performance of existing algorithms; Through the continuous accumulation of data and experience, the algorithm is trained and optimized to improve the accuracy and adaptability of emotion recognition; Ensure that the algorithm can recognize a wider variety of emotional states and more accurately judge children's emotional changes.

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