Bio-rhythm synchronous light and shadow adjusting device for children's toy

Abstract

The invention relates to a light and shadow adjusting device for a biological rhythm synchronous child toy, and aims at solving the problems that an existing toy is fixed or random in light effect, cannot adapt to the physiological rhythm of a child and is prone to causing visual fatigue. The device comprises a light sensation acquisition unit, a rhythm identification unit, a parameter generation unit and a lighting effect driving unit. The light sensing acquisition unit is used for acquiring environment illumination intensity and generating illumination sensing data; the rhythm recognition unit combines the illumination perception data with the current time information, generates target rhythm state data according to a preset physiological rhythm model, and is used for judging the current activity cycle stage of the child; a parameter generation unit generates a corresponding light and shadow adjustment parameter set according to the rhythm state data; the lighting effect driving unit controls the light-emitting assembly according to the parameter set and outputs light and shadow effects matched with the physiological rhythm of the child, such as stimulation enhancement in the daytime and soft transition at night, so that sensory requirements of different time periods are dynamically met, attention is effectively improved, and visual burden is reduced.

Description

Technical Field

[0001] The invention relates to the technical field of children's toys, and in particular to a light and shadow regulating device for children's toys with biological rhythm synchronization. Background Art

[0002] In the prior art, many children's toys are equipped with light-emitting components to enhance visual appeal and interactive experience. Such toys usually achieve fixed frequency, brightness and color change light effect output through built-in timing circuits or preset programs. Some devices can also trigger different light and shadow modes based on simple user input or situations. The above designs are mostly entertainment-oriented, often used to stimulate children's interest or demonstrate light effects in conjunction with music rhythm, but basically use static settings or limited trigger logic, lacking in-depth perception and response to the external environment or user status.

[0003] However, this type of technology generally has the problem of light and shadow output mode being out of touch with children's actual physiological state. During long-term exposure, fixed or strong light effects may have adverse effects on children's vision, emotions and attention, especially at night or during lunch breaks, when strong stimulating light can easily lead to excessive excitement or affect rest. In addition, existing devices do not take into account the changes in children's biorhythms in daily life, lack corresponding perception mechanisms and adjustment strategies, and are difficult to provide a more gentle and rhythm-matched light and shadow environment support.

[0004] Therefore, it is necessary to propose a new light and shadow adjustment device for children's toys to better adapt to the dynamic changes of children's physiological rhythms. Summary of the invention

[0005] The present application provides a biorhythm-synchronized children's toy light and shadow adjustment device to adapt to the dynamic changes of children's physiological rhythms.

[0006] The present application provides a biorhythm-synchronized children's toy light and shadow adjustment device, comprising: A light sensing acquisition unit is used to obtain the light intensity parameters of the current environment and generate light perception data; A rhythm recognition unit, configured to generate target rhythm state data based on the light perception data and current time information in combination with a preset physiological rhythm model, wherein the target rhythm state data indicates the current activity cycle stage of the child; A parameter generating unit, configured to generate a light and shadow adjustment parameter set according to the target rhythm state data, wherein the light and shadow adjustment parameter set includes adjustment information for controlling brightness, color temperature, frequency or gradient duration; The light effect driving unit is used to control the light-emitting components of the toy to generate light and shadow output effects that match the physiological rhythm of children according to the light and shadow adjustment parameter set.

[0007] This application has the following beneficial technical effects: (1) It can achieve dynamic synchronous adjustment of light and shadow effects and children's physiological rhythms, effectively matching children's excited and quiet states at different time periods, and enhancing the comfort and scientific nature of light effects. (2) It can obtain real-time changes in ambient light through the light sensor unit, enabling the light and shadow adjustment to have environmental adaptability and avoiding excessive or insufficient visual stimulation caused by too dark or too bright environment. (3) It can accurately identify the current activity cycle state of children by combining the physiological rhythm model and time information, so as to support personalized light and shadow adjustment strategies and optimize attention concentration and emotional stability. (4) It outputs refined adjustment information through the parameter generation unit to achieve multi-dimensional control of brightness, color temperature, frequency and gradual change duration, enhancing the interactivity and health of the toy, which is different from the single light effect output of traditional toys. Description of the Drawings

[0008] Figure 1 It is a schematic diagram of a biological rhythm synchronous children's toy light and shadow adjustment device provided by the first embodiment of the present application. Detailed Embodiments

[0009] Many specific details are set forth in the following description in order to provide a thorough understanding of the present application. However, the present application can be implemented in many other ways different from those described herein, and those skilled in the art can make similar generalizations without departing from the connotation of the present application. Therefore, the present application is not limited by the specific embodiments disclosed below.

[0010] The first embodiment of the present application provides a biological rhythm synchronous children's toy light and shadow adjustment device. Please refer to Figure 1 , which is a schematic diagram of the first embodiment of the present application. The following will be described in detail with reference to Figure 1 a biological rhythm synchronous children's toy light and shadow adjustment device provided by the first embodiment of the present application.

[0011] The biological rhythm synchronous children's toy light and shadow adjustment device includes a light sensor unit 101, a rhythm recognition unit 102, a parameter generation unit 103 and a light effect driving unit 104.

[0012] The light sensor unit 101 is used to obtain the light intensity parameter of the current environment and generate light perception data.

[0013] The light sensor unit 101 is one of the key components of the present invention, mainly used to obtain the light intensity parameter of the environment where the children's toy is located in real time, and generate light perception data that can be processed based on the obtained original light signal for subsequent rhythm recognition and light and shadow adjustment control.

[0014] The light-sensing acquisition unit 101 can adopt highly sensitive ambient light sensor devices, such as digital light sensors (such as modules based on photodiodes or photoresistors), which can detect the light intensity changes of natural light and artificial light sources in different wavelength ranges. The detection range is preferably from 0.1 lux to 100,000 lux, ensuring stable operation under low light at night and strong light during the day.

[0015] This unit can be integrated on the surface of the toy or at the internal light-transmitting position, preferably set at the top of the toy or in the area facing upward, so as to be fully exposed to ambient light and improve the measurement accuracy. The sensor converts the analog light signal into a digital quantity through an analog-to-digital conversion (ADC) module, and then generates a set of light intensity data including timestamps through a sampling circuit. The data is in floating-point or integer format, representing the average light intensity value per unit time, and the unit can be lux. This set of data constitutes the light perception data.

[0016] In practical applications, the light-sensing acquisition unit 101 can set a fixed sampling period, for example, sampling once every 5 seconds or 10 seconds, or it can perform event-triggered sampling based on a change rate threshold. For example, when the light intensity changes by more than ±10%, sampling is triggered and new light perception data is output, thereby saving system energy consumption and improving the adjustment response speed. In addition, the light perception data can also be filtered by a low-pass filter to avoid interference from abnormal data caused by instantaneous occlusion, flicker, or strong reflection to the rhythm recognition result.

[0017] The light perception data output by the light-sensing acquisition unit 101 will be sent to the rhythm recognition unit 102 as one of the input parameters, and is used together with the current time information to judge the current physiological rhythm state of the child. Therefore, this unit not only realizes the function of collecting environmental information, but also provides a key dynamic input basis for subsequent processing links. Through the deployment and precise sampling of this unit, the adaptive linkage between the toy light and shadow output and the environmental brightness can be realized, laying a foundation for the rhythm synchronization adjustment mechanism of the entire system.

[0018] The rhythm recognition unit 102 is used to generate target rhythm state data based on the light perception data and the current time information, in combination with a preset physiological rhythm model. The target rhythm state data indicates the activity cycle stage where the current child is located.

[0019] The rhythm recognition unit 102 is used to convert external perception information into state data corresponding to the child's biological rhythm, and is the core module for realizing the intelligence and personalization of light and shadow adjustment in this embodiment. This unit receives the light perception data output by the light-sensing acquisition unit 101, and combines the current time information. Through matching operations with a preset physiological rhythm model, it identifies the physiological activity stage of the child, and finally outputs the target rhythm state data.

[0020] In a specific implementation, the rhythm recognition unit 102 can be composed of a microprocessor (such as a low-power MCU) or an embedded system with timing judgment logic. A rhythm model established according to the daily routine of children is pre-stored inside it. This model can be constructed using the time segmentation method, dividing 24 hours into several stages, such as the early morning active period, the morning high-efficiency period, the noon transition period, the afternoon relaxation period, the evening low-activity period, and the night rest period, etc. Each stage is associated with a set of rhythm labels and corresponding light and shadow preference characteristics, which are convenient for subsequent parameter generation unit 103 to call.

[0021] To improve the recognition accuracy, when judging the current rhythm stage, the rhythm recognition unit 102 not only relies on the system time but also conducts trend analysis on the light perception data, such as judging whether the change in ambient brightness is consistent with the typical natural light change in a certain stage. If the light gradually increases and reaches a certain threshold within a certain time period, it may be recognized as the early morning active period; if the light steadily decreases and approaches the low-light level, combined with the time being in the evening, it is judged as the night rest period. This dual-input mechanism can enhance the adaptability of the system in non-standard routines or special environments.

[0022] The target rhythm state data is the output result of the rhythm recognition unit 102, usually represented in the form of structured data, such as containing information such as the current rhythm stage identifier, the state confidence value, and the duration estimate, for further processing by the parameter generation unit 103. In a specific implementation, this data can be in JSON, XML, or binary format, containing fields such as "period=morning_active", "confidence=0.85", "duration=90min", etc.

[0023] The logical process of the rhythm recognition unit can be implemented on an embedded chip through common programming languages (such as C or Python). When implementing, it is necessary to configure the real-time clock RTC to provide the system time, call the light sensor data interface to obtain the ambient light intensity information, load the preset rhythm model, and determine the current rhythm state through conditional judgment or machine learning classification methods (such as decision trees or simple threshold logic). The finally generated target rhythm state data will determine the specific strategy of light and shadow adjustment in subsequent modules, so as to ensure that the output light and shadow effect is consistent with the current physiological needs of children.

[0024] Furthermore, the rhythm recognition unit is specifically used for: By establishing a cross - mapping rule between environmental light and time period, the light perception data and the current time information are jointly input into the rhythm state inference model. The rhythm state inference model is based on a set of rhythm determination factors optimized for children's daily life rhythms, including the change trend of natural light, the matching degree between light intensity and time offset, the environmental light stability within the time continuity window, and the rest rhythm template corresponding to the children's age group; The rhythm recognition unit generates target rhythm state data with confidence annotation by fusing the rhythm determination factors, so as to determine whether the child is more likely to be in an active period, a transition period or a quiet period during the current period, thus realizing the intelligent recognition of the physiological rhythm state in a dynamic light environment.

[0025] The biological rhythm synchronization children's toy light and shadow adjustment device adopts a rhythm state inference model with dynamic adaptation ability to comprehensively judge the current physiological activity cycle stage of children from multiple dimensions. The design of this rhythm recognition unit fully considers the complexity of children's daily life rhythms and the diversity of the usage environment, and can achieve stable and accurate rhythm recognition under changing natural light conditions, thereby providing a scientific and personalized basis for subsequent light and shadow adjustment.

[0026] The core working mechanism of the rhythm recognition unit includes a cross - mapping process. In actual operation, the system first obtains the current light perception data and time information. The light perception data comes from the light sensor acquisition unit, usually representing the current illuminance level of the environment in Lux value, and the time information can be obtained through the internal real - time clock module. The rhythm recognition unit takes these two types of data as joint input and transfers them to the rhythm state inference model through the preset cross - mapping rule. The so - called cross - mapping means that within the same time period, the system does not simply set a fixed rhythm state, but dynamically judges the current rhythm stage by analyzing the deviation between the light level and the "ideal light reference value" within this time period, combined with the light change trend within the continuous time window.

[0027] The rhythm state inference model incorporates a set of rhythm determination factors optimized for children, including but not limited to the following aspects. First is the trend of natural light change. The system determines whether it is in a state of increasing light, stable light, or decreasing light by sampling the light change rate over a continuous period of time, thereby inferring time periods such as early morning, daytime, or dusk. Second is the matching degree between light intensity and time offset. For example, at noon, there should be a relatively high light intensity. If the system detects that the light is dim at this time, it may be misjudged due to cloudy days or indoor environments, and the system needs to correct it in combination with the time offset. Third is the light stability within the time continuity window. This factor reflects whether the environment remains stable during a specific period. For example, if the continuous light level is low and there is no fluctuation, it may indicate that it has entered the night or a resting environment. Finally, a rest rhythm template for children of different age groups is also introduced. There are significant differences in the biological rhythms of children of different ages. For example, the lunch break time of preschool children is usually earlier than that of school-age children. The rhythm recognition unit selects different reference templates for comparison according to the age setting.

[0028] After comprehensively considering the above factors, the rhythm state inference model makes a comprehensive judgment on the current state and outputs a target rhythm state data. This data not only indicates the recognized rhythm stage, such as "active period", "transition period", or "quiet period", but also comes with a confidence annotation, which is used to represent the credibility of the current recognition result. By setting a confidence threshold, it can be decided whether to immediately execute a state switch or maintain the existing state, thus effectively avoiding misjudgments caused by sudden environmental changes or short-term data anomalies.

[0029] In this embodiment, the rhythm state inference model in the rhythm recognition unit is implemented using a judgment logic based on a rule engine. Combining time information, light perception data, and the rest template for children of different age groups, it outputs target rhythm state data with a confidence annotation. This inference model contains multiple rhythm determination factors. The system scores and evaluates each factor and generates a rhythm state result in a weighted combination manner.

[0030] Specifically, the system first determines the reference time period identifier according to the current time information. For example, a day is divided into early morning (6:00–8:30), morning (8:30–11:30), noon (11:30–13:30), afternoon (13:30–17:00), evening (17:00–19:30), and night (19:30–6:00). These time periods correspond to default basic rhythm state templates. For example, the morning corresponds to the active period, and the night corresponds to the quiet period.

[0031] Meanwhile, the system obtains the light perception data for each minute in the past 10 minutes, and calculates the light change trend value ΔL (unit: Lux / min) through linear regression or simple averaging. If ΔL is greater than the set threshold (such as +50 Lux / min), it is determined as an "upward trend"; if ΔL is lower than -50 Lux / min, it is determined as a "downward trend"; if it is between the two, it is a "stable trend". This trend information is used to correct the basic rhythm state of the time period. For example, in the early morning period, the upward trend can strengthen the confidence of the "active" determination, and in the evening, the downward trend is more inclined to the "transition period" determination.

[0032] In addition, the system also calculates whether the current light intensity L matches the expected value of this time period. For example, the reference light in the morning period should be between 3000 - 10000 Lux. If the current light intensity deviates from the reference range by more than ±30%, the system will reduce the confidence of the determination result of this time period, or trigger a correction model related to the indoor environment.

[0033] Combining the above factors, the system uses the following rule engine to implement rhythm reasoning: (1) In the "morning" time period, if ΔL is in an upward trend and the L value is greater than the lower limit of the reference interval, it is judged as the "active period" with a confidence of 0.9; (2) In the "evening" time period, if ΔL is in a downward trend and the L value is stable or decreasing, it is judged as the "transition period" with a confidence of 0.8; (3) In the "night" time period, if the L value is lower than 300 Lux and the change trend is stable, it is judged as the "quiet period" with a confidence of 0.95; (4) If any condition is not met, "ambiguous state" is output, the confidence is set to 0.5, and wait for re-evaluation in the next sampling period.

[0034] The finally generated target rhythm state data includes the rhythm state label corresponding to the current time period (such as "active period", "transition period", "quiet period"), and the confidence value output by the above rule engine. This data will be used as the input basis for the parameter generation unit to select the appropriate light and shadow adjustment parameter set.

[0035] If it is necessary to further improve the recognition accuracy, the system can also introduce a personalized work and rest calibration template provided by the rhythm learning unit to correct the default time period and determination threshold. Through this rule-based and parameterizable rhythm state reasoning model, it can be implemented in the form of embedded software, script logic or graphical programming.

[0036] Through this rhythm recognition mechanism, the system can adapt to various complex situations, including natural light changes, indoor light environment fluctuations, and seasonal variations, and achieve a stable, real-time, and individually adapted rhythm judgment logic. This solution fully integrates environmental information and time logic, and introduces the individual rhythm characteristics of children, realizing the intelligent advancement from "time-triggered" to "rhythm-aware".

[0037] Furthermore, the rhythm state inference model is also used to: when generating the target rhythm state data, construct a multi-item score vector based on the individual score results of each rhythm determination factor, and perform weighted summation through a set weight assignment rule, where the weight value is dynamically adjusted according to the age of the child, so that the sensitivity to the natural light trend has a higher proportion in young children, and the judgment of time matching degree has a higher proportion in older children; map the weighted score result to one of the three rhythm state types and generate a corresponding confidence score to achieve an adaptive recognition output that is more in line with the physiological rhythm of children.

[0038] The biological rhythm synchronization children's toy light and shadow adjustment device further defines the internal scoring mechanism and output method of the rhythm state inference model, enabling the recognition process to fully consider the differences in the sensitivity of rhythm judgment caused by the age of children, and achieving a more personalized and dynamic rhythm recognition result. This rhythm state inference model does not judge the rhythm state through a single rule or fixed threshold, but introduces a score vector and a weight adjustment mechanism to quantitatively integrate multiple rhythm determination factors to improve the recognition accuracy and adaptability.

[0039] Specifically, within each update cycle of the rhythm state inference model, all input factors are first independently scored. The rhythm determination factors include the change trend of natural light, the matching degree of light intensity and the current time period, the light stability within the time window, and the matching degree with the rest template corresponding to the age of the child, etc. Each factor calculates its adaptation score at the current time point through a quantization function, forming a vectorized score structure. For example, if the system detects that the current light level is on the rise and coincides with a high degree in the early morning period, the scores of both the "natural light trend factor" and the "time matching degree factor" can be relatively high; if the light drops sharply in the afternoon period, the score will decrease accordingly.

[0040] After scoring, the model dynamically adjusts the weights of each factor according to the age range of the child. This weight assignment rule is preset by the device or obtained through long-term training by the rhythm learning unit. For example, for children aged 3 to 5, the system believes that they are more sensitive to external light changes, so it gives a higher weight (e.g., 0.4) to the "natural light trend factor" and a relatively lower weight (e.g., 0.2) to the "time matching factor". On the contrary, for children aged 9 to 12, since their daily routines are more dominated by time patterns, the system will increase the weight of the "time matching factor" to a dominant position and correspondingly reduce the response ratio to short-term light fluctuations.

[0041] The model then multiplies the scores of each factor by their respective weight coefficients and performs a weighted sum to obtain a comprehensive score value for rhythm state classification. This score value will be mapped to one of three preset rhythm state labels, namely "active period", "transition period", or "quiet period", and a confidence score value will be generated, indicating the credibility of the judgment result. A high score value indicates a high degree of consistency in the judgments of each factor, and the system confidence is correspondingly high; when the score value is close to multiple classification boundaries, the confidence decreases, and the system can trigger an interpolation smoothing strategy or a delayed update mechanism.

[0042] This rhythm state inference model has good module scalability and tuning flexibility. It can be implemented using a look-up table algorithm, a logical function mapping, or a simple neural network structure, and the score vector and weight matrix are stored in an embedded system or local cache in an array, dictionary, or tensor structure and run through a fixed-period update loop in a microcontroller or edge computing unit. Through this scoring and weighting mechanism, the system not only improves the recognition accuracy of the rhythm state in a complex environment but also makes the output results have age adaptability and context robustness.

[0043] The parameter generation unit 103 is used to generate a set of light and shadow adjustment parameters according to the target rhythm state data, and the set of light and shadow adjustment parameters includes adjustment information for controlling brightness, color temperature, frequency, or fade duration.

[0044] The parameter generation unit 103 is used to convert the target rhythm state data output by the rhythm recognition unit 102 into a set of adjustment parameters that can be used to control the light and shadow output, and it is the key bridge module for realizing personalized light and shadow control in this embodiment. This unit matches a set of preset light and shadow adjustment strategies according to the current activity cycle stage of the child represented in the target rhythm state data to generate a specific set of light and shadow adjustment parameters. The parameter set includes control information in dimensions such as brightness, color temperature, flicker frequency, and fade duration, and can be fine-tuned according to environmental conditions or historical operation data.

[0045] In the actual structure, the parameter generation unit 103 can be implemented by a microcontroller, a digital signal processor (DSP), or an embedded computing module, and a parameter mapping database is built in. The database uses the rhythm phase as the index entry and stores the reference values of light and shadow outputs corresponding to different physiological states. For example, when the target rhythm state data indicates that a child is in the "morning active period", the parameter generation unit can retrieve the light and shadow settings corresponding to this state, such as a brightness of 80% - 100%, a color temperature of 5000K - 6500K, a flicker frequency of 1Hz - 3Hz, and a short fade duration; while when it is recognized as the "night rest period", the parameter generation unit outputs parameter configurations with low brightness (such as 10% - 30%), warm color temperature (such as 2700K - 3500K), no flicker or slow color change to create a quiet and soothing visual environment.

[0046] To enhance the adaptability of the adjustment, the parameter generation unit 103 can also introduce a weight adjustment mechanism. This mechanism allows for the comprehensive weighting of the confidence value of rhythm recognition, the environmental brightness trend, and the continuous recognition results, making the finally generated parameter set more stable and in line with the child's current actual state. For example, when the recognition result wavers between the "afternoon quiet period" and the "evening low activity period", the parameter generation unit can select a parameter output that is more towards the intermediate state according to the persistence of historical recognition data to avoid abrupt light and shadow changes caused by frequent switching.

[0047] The light and shadow adjustment parameter set output by the parameter generation unit can be organized in the form of a structured array or a configuration byte stream to facilitate data communication with the light effect driving unit 104. The output format should include the parameter values of each dimension, their duration, transition methods, and other control instructions. For example, a set of outputs may be: brightness = 60%, color temperature = 4200K, fade duration = 5 seconds, frequency = no flicker; another set of outputs may include: the brightness gradually decreases from 100% to 20% within 10 seconds, the frequency transitions from 3Hz to no flicker, and the color temperature remains constant.

[0048] This embodiment can construct the parameter generation process through a look-up table method, an interpolation algorithm, or a simple logical judgment method. When implementing, an EEPROM or FLASH can be used to store the rhythm parameter mapping table, and a matching function is called during the program operation for mapping and generation. When necessary, the content of the parameter table is allowed to be updated through an external interface or remote configuration to support the personalized expansion needs of children of different ages or individual differences. Through the above structure and logic, the parameter generation unit 103 ensures that the toy's light and shadow output not only has responsiveness but also has a scientific and reasonable biological rhythm adaptability. Furthermore, the parameter generation unit is specifically used for: Based on the rhythm stage type and its confidence value indicated in the target rhythm state data, select the corresponding light and shadow adjustment parameter set from the multi-dimensional parameter mapping matrix, where the parameter mapping matrix takes the rhythm stage as the index dimension, combines the children's age group, physiological rhythm sensitivity level, and the current ambient light state level, and outputs a combination of brightness, color temperature, frequency, and fade duration that matches them; Among them, the parameter generation unit is also used to perform amplitude modulation on the adjustment parameters according to the size of the confidence value. If the confidence of the recognition result is higher than the preset threshold, the target parameter set is directly called. If the confidence is in the middle interval, dynamic transition is performed between the parameters of adjacent rhythm stages using an interpolation algorithm, so as to generate a continuous and smooth light and shadow adjustment output, avoiding sudden changes in light effects caused by fluctuations in the rhythm state.

[0049] For the biological rhythm synchronization children's toy light and shadow adjustment device, the specific working mode of the parameter generation unit is to, after receiving the target rhythm state data output by the rhythm recognition unit, rely on a pre-established multi-dimensional parameter mapping matrix to accurately select and dynamically modulate the light and shadow adjustment parameter set, so as to achieve a high degree of matching between the output effect and the current physiological rhythm state of children, and effectively balance physiological guidance and sensory comfort.

[0050] The multi-dimensional parameter mapping matrix is a light and shadow adjustment parameter database constructed according to actual test data and behavior models during the development stage. Its core structure uses the rhythm stage type as the main index of the first dimension, including typical children's physiological rhythm sections such as "active period", "transition period", and "quiet period". Under each rhythm stage, multiple adjustment sub-schemes are further subdivided to respectively adapt to different children's age groups, physiological rhythm sensitivity levels, and the current ambient light state levels. For example, for the same "transition period", the reactions of preschool children and school-age children are quite different. Therefore, the parameter mapping matrix will distinguish age intervals such as 3 to 6 years old and 6 to 9 years old. Each interval is further subdivided into children types that are sensitive or insensitive to light and shadow changes, as well as adjustment strategies under conditions of strong light, soft light, or low light in the current environment.

[0051] Each parameter combination entry in the matrix contains a complete set of light and shadow adjustment parameters, which consists of four items: brightness (expressed as a percentage), color temperature (in K), flicker frequency (in Hz), and fade duration (in seconds). After identifying the rhythm state, the system uses this rhythm stage as the main index, and then sequentially compares it with the age group, sensitivity level, and light state level to accurately match the most suitable parameter entry. For example, in the scenario where the "afternoon transition period" is identified, the current child is 5 years old, the light sensitivity level is high, and the indoor light is weak, the system will select a set of parameters such as "brightness 40%, color temperature 3200K, frequency 0Hz (i.e., no flicker), fade duration 6 seconds" to ensure that the output effect is neither abrupt nor lacking in rhythm guidance.

[0052] The parameter mapping matrix adopts a four-dimensional structure, corresponding to the rhythm stage (3 categories, such as active period, transition period, quiet period), age group (such as 3 - 5 years old, 6 - 8 years old, 9 - 12 years old), sensitivity level (high, medium, low), and ambient light level (low light, medium light, high light) respectively. Each combination item corresponds to a set of preset quadruple control parameters, and the structure is as follows: Matrix[rhythm stage][age group number][sensitivity level][light level] = {brightness %, color temperature K, frequency Hz, fade time s}.

[0053] However, in some cases, the confidence level of the recognition result of the rhythm recognition unit may be at a medium level, indicating that the system is not fully certain about the rhythm state. For example, in some critical time periods, the behavior of children shows a blurred state or the external light fluctuates violently, resulting in similar confidence levels for the model to judge whether it belongs to the "active period" or the "transition period". At this time, the parameter generation unit will not directly call a certain fixed parameter set, but perform interpolation processing on the two parameter sets corresponding to adjacent rhythm stages to achieve transitional light and shadow adjustment.

[0054] Specifically, the interpolation algorithm can adopt a linear interpolation method. For example, if the brightness corresponding to the "active period" is 80% and that of the "transition period" is 40%, in the blurred state with a confidence level of 0.5, the system will set the brightness to 60%; if the color temperature is 6000K in the active period and 3500K in the transition period, the output after interpolation is 4750K. The fade duration and frequency are also calculated accordingly. The interpolation ratio can be dynamically adjusted according to the confidence level, so as to form a continuous and smooth output trajectory during state switching, avoiding discomfort or interference caused by sudden changes in light and shadow to children's senses.

[0055] In addition, the parameter generation unit can also set up a protection mechanism. For example, when there are significant fluctuations in two consecutive recognition results (such as directly jumping from the "active period" to the "quiet period"), forced interpolation can be performed in stages, or the previous parameter state can be temporarily maintained for a transition period, waiting for the recognition to stabilize before executing the new parameters, thereby further improving the output stability and user experience.

[0056] The logic of the parameter generation unit can be implemented through methods such as a look-up table function, a weighted average calculator, and a soft threshold decision module, and runs on an embedded system or an application processor. Since the parameter matrix has the characteristics of being structured and highly preset, it is convenient for later maintenance and expansion. At the same time, by introducing a confidence awareness adjustment and a dynamic interpolation mechanism, an innovative mode of transitioning from discrete control to continuous flexible control is achieved in the rhythm-aware driven light and shadow control.

[0057] Furthermore, the multi-dimensional parameter mapping matrix is constructed in a hash structure, and a multi-level index quadruple composed of a rhythm phase identifier, an age group number, a physiological rhythm sensitivity label, and ambient light is used as a key-value index. Each entry is associated with a set of light and shadow adjustment parameter sets; the parameter generation unit supports a partial dimension default compensation mechanism during the retrieval process. When one dimension is missing, an optimal approximate match is performed based on the distance weights of adjacent dimensions, thereby ensuring that stable light and shadow adjustment parameters can still be output under complex or incomplete recognition conditions, and improving the system's fault tolerance to rhythm judgment errors or external data anomalies.

[0058] The biological rhythm synchronization children's toy light and shadow adjustment device further clearly defines the internal structure and retrieval logic of the parameter generation unit, especially for the organization method of the multi-dimensional parameter mapping matrix and the fault tolerance strategy during the actual operation process. The key to this technical solution is to organize the multi-dimensional parameter space through a hash structure and establish an adaptive matching mechanism for missing or abnormal recognition data, so as to ensure that stable and reliable light and shadow adjustment parameters can still be output even when the input information is incomplete.

[0059] In terms of specific implementation, the multi-dimensional parameter mapping matrix used by the parameter generation unit is constructed using a hash structure. Each entry corresponds to a specific set of light and shadow adjustment parameters, covering four adjustment dimensions: brightness percentage, color temperature value, frequency (such as flicker frequency), and fade duration. The key-value index of this matrix consists of four fields, namely the rhythm phase identifier, the children's age group number, the physiological rhythm sensitivity label, and the current ambient light level. The rhythm phase identifier is used to indicate which type of physiological state the current child is in, such as "active period", "transition period", or "quiet period"; the age group number is usually divided into predefined intervals, such as 3 - 5 years old, 6 - 8 years old, etc.; the physiological rhythm sensitivity label represents the response amplitude of an individual to rhythm changes, and can be given levels such as "high sensitivity", "medium sensitivity", or "low sensitivity" based on the data recorded by the rhythm learning unit for a long time; the ambient light level is obtained by real-time analysis of the light sensor unit and is divided into classifications such as "low light", "medium light", "strong light", etc. according to preset thresholds.

[0060] The data organization method of the entire matrix is a typical four-level hash index structure. For example, the key value <transition period, 6 - 8 years old, high sensitivity, medium light> can correspond to an adjustment scheme with a set of parameters {brightness 45%, color temperature 4000K, frequency 1Hz, fade duration 5 seconds}. When the system is running, the rhythm recognition unit and the light sensor unit pass the corresponding four-dimensional index value to the parameter generation unit, which directly calls the matching item in the matrix and outputs the corresponding parameter set. This hash structure has the advantages of fast access speed, flexible structure, and easy update, and is very suitable for the control scenario of children's toys that require real-time response.

[0061] Considering the possible edge blur situations in the rhythm recognition process, such as insufficient confidence in the rhythm state, unavailable age data, abnormal light input, etc., the parameter generation unit is also configured with a default compensation mechanism. When a quadruple key value that exactly matches cannot be found in the matrix, the system will look for the optimal approximate matching entry in the adjacent dimensions based on the currently available index values. This process is achieved by defining the distance weight relationship between dimensions. For example, if the ambient light level is missing, it will first look for a parameter entry that is exactly the same in the other three dimensions and has the smallest difference in light level; if the age group information is missing, interpolation or default strategy substitution will be performed based on adjacent age intervals.

[0062] To further enhance the adaptive ability of the system, the distance weight can be adjusted according to the actual scenario. For example, when the light changes drastically or the age difference is small, the system can set a lower weight so that the error in this dimension has less impact on the matching result; while in the dimension of physiological rhythm sensitivity, since it has a greater impact on rhythm synchronization, a higher matching weight can be set to increase the priority matching intensity for this field.

[0063] The above structural design enables the parameter generation unit to still output a stable set of light and shadow adjustment parameters based on the most similar strategy when faced with situations such as incomplete data, insufficient confidence in recognition results, or blurred boundaries, thus effectively avoiding interference to children caused by output interruption or sudden light effect changes. By introducing a combination of a hash structure and a default compensation mechanism, a parameter generation architecture oriented to children's physiological rhythm synchronization with high robustness and real-time performance is constructed.

[0064] The light effect driving unit 104 is used to control the light-emitting component of the toy to generate a light and shadow output effect matching the physiological rhythm of the child according to the set of light and shadow adjustment parameters.

[0065] The light effect driving unit 104 is used to receive and execute the set of light and shadow adjustment parameters output by the parameter generation unit 103 to control the built-in light-emitting component of the children's toy to generate a corresponding light and shadow output effect, and it is the execution end that finally converts the rhythm regulation information into visual performance. In this embodiment, this unit not only needs to have basic brightness control capabilities, but also needs to support color temperature adjustment, flicker frequency setting, and gradual transition control to ensure that the output light and shadow effect highly matches the physiological rhythm state of the child.

[0066] Specifically, the light effect driving unit 104 is usually composed of a programmable controller, a current driving circuit, a PWM (pulse width modulation) control module, etc. Its main working process is to parse various control instructions included in the set of light and shadow adjustment parameters, map the brightness value, color temperature value, frequency parameter, and gradual change duration, etc. to specific driving signals one by one, and act on the LED light-emitting component or other controllable light sources. Taking brightness control as an example, the controller generates a PWM signal with a corresponding duty cycle according to the target brightness percentage to adjust the driving current of the LED, realizing a linear or non-linear human eye-perceived brightness output. For color temperature control, if a two-color or three-color LED light source is used, the light effect driving unit calculates the current ratio of each channel according to the target color temperature value, so as to synthesize white light output with the required color temperature. For example, when the target color temperature is 3500K, the system will increase the driving ratio of the warm-color LED and reduce the output of the cold-color LED, and finally present a soft warm white light effect.

[0067] In addition, to achieve a soft and smooth light and shadow transformation effect, the light effect driving unit 104 should support a gradual change control mechanism. When receiving parameters including the gradual change duration, this unit will gradually adjust the PWM value of the brightness or color temperature channel based on time, realizing a light change process such as the brightness slowly transitioning from 80% to 30%, avoiding visual stimulation caused by sudden changes. In terms of flicker frequency control, the driving unit can set a timer internally, and realize the flicker output with the required frequency by periodically switching the light source state, and can control its duty cycle and contrast to present a more dynamic but non-glare visual rhythm.

[0068] In practical applications, the light effect driving unit also needs to have control performance with stable response and low latency to ensure the timely response of the light and shadow output to parameter changes. To adapt to the limited internal space and low power consumption requirements of the toy, this unit preferably uses an integrated LED driving chip, such as a packaged device with functions such as constant current control, dimming compatibility, and thermal protection, thereby simplifying the circuit design and improving the system reliability.

[0069] To ensure the consistency and safety of the output effect, the light effect driving unit can further cooperate with a temperature sensing module or a light feedback circuit to monitor the working state of the light-emitting components in real time, preventing overheating or brightness drift problems caused by long-term high-brightness operation. At the same time, when necessary, a maximum output limit can also be set to prevent abnormal light intensity when the system makes a misjudgment, thus avoiding adverse effects on children's eyes.

[0070] Through the above composition and control logic of the light effect driving unit 104, this embodiment can convert the abstract biological rhythm recognition results and parameter settings into intuitive, dynamic, and gentle light and shadow performances, enabling the toy to present different sensory atmospheres at different time periods, thereby better guiding children into mental states of concentration, relaxation, or preparation for sleep, and achieving a healthy, safe, and rhythmic interactive experience.

[0071] Furthermore, the light effect driving unit is specifically used for: Performing sequential decoding and channel allocation on the brightness, color temperature, frequency, and fade duration parameters in the light and shadow adjustment parameter set, and constructing a multi-channel pulse width modulation control signal sequence according to each adjustment information, which are respectively applied to multiple independently controllable light-emitting component channels in the toy to achieve zoned collaborative dimming; wherein, the light effect driving unit further synchronizes and calibrates the output signals of each channel on the time axis based on the synchronization requirements of the rhythm state, so that the light-emitting units of different colors and positions present a unified transition rhythm in terms of brightness and color temperature, and then form a composite light and shadow output effect with consistent senses, smooth changes, and rhythm guiding effects.

[0072] In the biological rhythm synchronization children's toy light and shadow adjustment device, the light effect driving unit not only plays a role in converting the light and shadow adjustment parameter set into an executable control signal, but also realizes the coordinated output of the composite light and shadow in the spatial and temporal dimensions through a multi-channel synchronization control mechanism, making the overall light effect performance highly match the physiological rhythm stage of the child, and effectively enhancing the immersion and physiological adaptability of the rhythm guiding effect.

[0073] Specifically, the light effect driving unit first receives the light and shadow adjustment parameter set from the parameter generation unit, and this parameter set includes information such as brightness, color temperature, frequency, and fade duration. The light effect driving unit performs timing decoding on this set of parameters, that is, according to the internally preset time control logic, samples, analyzes, and schedules each parameter item to form specific control instructions. During this process, the system will perform channel allocation according to the control dimension to which each parameter belongs. For example, the control signals of brightness and color temperature will be allocated to the constant current sources or PWM controllers of different color channels, the frequency parameter is used to control the pulse rhythm of light emission, and the fade duration determines the smoothness between the slow degree of light effect change and the start and end points.

[0074] The light effect driving unit controls at least two independent light-emitting channels, and each channel is connected to a set of LED light-emitting components of different colors or positions. For example, three primary color light sources, red, green, and blue, can be configured inside the toy, and each group of light sources can be individually dimmed; or multiple light source areas distributed on different orientations or components can be set according to the toy's shape, such as "ears", "eyes", "abdomen", etc. When executing control commands, the light effect driving unit will allocate an independent PWM control sequence for each channel, adjust the duty cycle according to the brightness setting, combine the brightness ratios of different color channels according to the color temperature requirement, and perform periodic on-off control in combination with the frequency setting.

[0075] More importantly, when the light effect driving unit outputs multi-channel control signals, it does not simply execute in parallel, but performs unified calibration on the time axis according to the "rhythm synchronization requirement" of the current rhythm state. For example, during the "transition period" or "quiet period", the system will deliberately reduce the phase difference of light effect changes between channels, making the light changes of each color or area synchronous or slightly lagging, so as to create visual "progressive", "fluctuating" or "breathing" rhythm change effects. On the contrary, during the "active period", the system can appropriately introduce slight misalignment or rhythm jumps to make the light and shadow more dynamic and engaging. This synchronization control process is completed by the central scheduler, relying on a unified time reference signal to coordinate the start time, fade rate, and waveform form of each channel.

[0076] This composite light and shadow output effect not only forms a visually dynamic and natural transition sensory experience, but also helps children enter a psychological state that adapts to the current physiological rhythm naturally without verbal or forced prompts through the visual hint of rhythm consistency. In practice, when the system recognizes that the child is in the "quiet period" and the ambient light is low, the light effect driving unit can control all channels to simultaneously reduce the color temperature with a unified and slowly decreasing brightness trend, and form a gentle exit process like sunset by extending the fade time, thereby inducing the child to gradually calm down and improving the rest quality. This solution is significantly better than the "color preset, single-channel flashing" or "on-off switch control" methods in traditional children's toys.

[0077] In terms of implementation, the light effect driving unit can be constructed based on a conventional embedded microcontroller (such as STM32, etc.) with a multi-channel PWM control module, and combined with timer interrupts to achieve precise cycle control. The timing decoding, signal distribution, and synchronization calibration logic can be completed by using the look-up table method, state machine, or simple logical condition judgment.

[0078] Furthermore, the biological rhythm synchronization children's toy light and shadow adjustment device further includes a sound adaptation unit for generating a sound adjustment parameter set according to the target rhythm state data, and the sound adjustment parameter set includes a volume value, a rhythm frequency, a timbre channel, and an audio transition duration; wherein, the sound adaptation unit is specifically used for: Mapping the brightness change rate in the light and shadow adjustment parameter set to a corresponding rhythm frequency value, so that the audio rhythm is consistent with the light and shadow brightness change rhythm; Mapping the interval where the color temperature value is located to a preset timbre channel number, and selecting the audio material corresponding to the channel number from the timbre library; Controlling the time length of the audio fade-in or fade-out process according to the gradient duration, so that the audio change is synchronized with the light and shadow change in the time dimension, thereby forming a multi-sensory output effect with a structural correspondence relationship.

[0079] In this embodiment, a sound adaptation unit is further introduced to generate a sound adjustment parameter set coordinated with the light and shadow output, realizing multi-sensory rhythm synchronization output. Starting from the target rhythm state data output by the rhythm recognition unit, the sound adaptation unit dynamically generates control instructions for controlling audio output by linking specific parameters in the light and shadow adjustment parameter set according to the currently recognized children's physiological rhythm stage, so that the sound output is no longer independently triggered or statically played, but is deeply matched with the light and shadow output in terms of timing structure, rhythm change, and situational atmosphere.

[0080] In implementation, the sound adaptation unit is usually composed of an audio control chip or a programmable controller, and is connected with an audio playback module and a local audio material storage unit. Its working principle can be divided into three steps: First, use the brightness change rate reflecting the dynamic characteristics of light and shadow in the light and shadow adjustment parameter set as an input variable and map it to a rhythm frequency value. For example, if the rate of increase or decrease of brightness is fast, the rhythm frequency is set to be high, and the audio rhythm is manifested as an active fast rhythm; if the brightness change is slow, a slow rhythm background sound is correspondingly generated, so that children can feel the same rhythm rhythm at the visual and auditory levels, thus avoiding sensory conflicts.

[0081] Secondly, the sound adaptation unit reads the current color temperature value in the light and shadow adjustment parameter set, and determines a preset timbre channel number according to the interval in which the color temperature is located (such as cold color, natural color, warm color). The system pre - establishes a timbre library, mapping different color temperature sections to specific timbre styles. For example, high color temperature (cold light) corresponds to a clear and transparent electronic sound, and low color temperature (warm light) corresponds to a soft and steady wooden instrument timbre. Based on this, the sound adaptation unit calls the audio material corresponding to the current color temperature section in the timbre library to achieve a consistent expression of sound and color temperature in the sensory atmosphere.

[0082] Finally, to ensure the coordination and unity of sound and light and shadow in the transitional time dimension, the sound adaptation unit reads the fade - in and fade - out duration in the light and shadow adjustment parameter set, and controls the fade - in or fade - out time during the sound playback. For example, when performing a brightness fade - in operation, the audio volume is smoothly increased from 0 to the target value at the same time, and during the brightness fade - out process, the volume fade - out operation is synchronized. The specific control of fade - in and fade - out can be achieved based on linear interpolation or exponential easing functions, making the audio change completely consistent with the light and shadow change in terms of duration, and enhancing the overall sensory synchronization experience.

[0083] The sound adaptation unit in this embodiment can implement the above - mentioned parameter conversion logic through a look - up table algorithm or a function mapping method. The audio material can be pre - loaded in the local Flash or an external memory, and supports changing the sound theme style according to the age group or usage scenario, further expanding the applicability and interactivity of the device. Through the above method, the sound adaptation unit not only improves the fun and immersion of the toy, but also realizes the multi - sensory coordinated output based on the physiological rhythm of children in terms of technical implementation.

[0084] Furthermore, the light and shadow adjustment device of the biological rhythm - synchronized children's toy further includes an interaction response unit for generating a behavior intervention signal based on the target rhythm state data and user - triggered events. The user - triggered events include the child's touch, shake or voice emission to the toy; wherein, the interaction response unit is specifically used for: When detecting that a trigger event occurs, it judges whether the trigger is appropriate according to the current rhythm stage, and dynamically adjusts the output priority or delay response strategy of the light and shadow adjustment parameter set according to the judgment result, so as to avoid over - stimulation when the child is in a low - excitement rhythm state, and at the same time enhance the feedback intensity in a high - excitement state, thereby realizing a behavior - intervention - type light and shadow response mechanism based on the rhythm adaptation principle, and improving the rationality of the toy's human - machine interaction and the rhythm guidance function.

[0085] The described biological rhythm synchronization children's toy light and shadow adjustment device further introduces an interactive response unit, which is used to perceive the active interaction behaviors generated by children during use, and combined with the currently recognized rhythm state, dynamically determine whether to respond to the behavior and how to give feedback, so as to realize a behavior intervention response mechanism based on rhythm judgment. The interactive response unit judges whether it is in a suitable response timing by perceiving typical user trigger events such as touch, shaking or voice, and schedules and restricts the output behaviors of the light and shadow adjustment parameter set, so that the toy has different interactive performances in different rhythm stages.

[0086] In terms of specific structure, the interactive response unit may include a group of input sensors, such as a capacitive touch sensor for detecting physical contact, a three-axis accelerometer for detecting the motion state, and a voice trigger module for recognizing sounds. These sensors can be integrated on the surface or inside of the toy shell, and the distribution positions can be customized according to the toy form to ensure the effective collection of trigger signals during the natural use of children. Once the user trigger event is recognized, it is sent to the interactive response unit for processing.

[0087] When processing the user trigger event, this unit does not directly generate a response, but first calls the target rhythm state data currently output by the rhythm recognition unit, and based on this, judges whether it is a suitable time period for positive interactive feedback. For example, when it is recognized as the "night rest period" or the "noon low excitement period", the system will consider it inappropriate to give too strong sensory stimulation, so the response can be delayed or the response intensity can be reduced; on the contrary, if it is recognized as the "morning active period" or the "afternoon high participation period", it can immediately respond and enhance the dynamic expressiveness of the light and shadow output, such as increasing the brightness, accelerating the color change rhythm or starting the sound and light linkage mode.

[0088] The interactive response unit generates a behavior intervention signal based on the above judgment results. This signal is injected into the parameter generation unit or the light effect driving unit as an additional control condition to perform temporary priority adjustment, time delay or intensity amplification on the original light and shadow adjustment parameter set. In specific implementation, this behavior intervention signal can be embedded in the parameter set structure by increasing the "interaction tag bit" or "response correction coefficient", and the subsequent driving module reads and executes the adjustment strategy.

[0089] Through the above mechanism, the interactive response unit not only enhances the human-computer interaction ability of the toy, but also ensures that the interactive response conforms to the current physiological rhythm state of children, avoids giving unnecessary excitement stimuli at inappropriate times, and helps to maintain children's work and rest rules and sensory balance. At the same time, enhancing the feedback intensity during the active period also helps to improve children's participation and form a virtuous interaction cycle. Overall, it realizes the transformation from simple action feedback to human-computer interaction driven by rhythm regulation.

[0090] Furthermore, the biological rhythm synchronization children's toy light and shadow adjustment device further includes a rhythm learning unit, which is used to record the response relationship between the target rhythm state data and the actual user behavior during long-term use, and dynamically optimize the physiological rhythm model individually based on statistical learning methods; wherein, the rhythm learning unit is specifically used for: By detecting the residence time, interaction frequency or active trigger behavior of children on the light and shadow output during a specific time period, construct the deviation data from the existing rhythm model, and adjust the rhythm state determination weight of the corresponding time period in the model after reaching the preset sample quantity, so that the rhythm recognition unit can better fit the daily life routine of individual children in subsequent recognition.

[0091] The biological rhythm synchronization children's toy light and shadow adjustment device is further provided with a rhythm learning unit, which is used to dynamically record and analyze the behavior characteristics of children during long-term use, and accordingly perform personalized adjustment and optimization on the original physiological rhythm model, so that the rhythm recognition result can better fit the life rhythm of children themselves. This rhythm learning unit can not only improve the accuracy and adaptability of light and shadow adjustment, but also realize the transition from a general model to an individual model, and is a key support module for realizing intelligent light and shadow guidance for children.

[0092] The main function of the rhythm learning unit is to record the response relationship between the target rhythm state data and the actual user behavior. During the operation of the system, the rhythm recognition unit will continuously output the currently recognized rhythm stage, such as "early morning active period", "afternoon quiet period" or "night rest period". At the same time, the sensor module related to children's interaction in the device will collect the usage behavior data of children during each rhythm stage, including the residence time of children continuously using the light and shadow function, the interaction frequency per unit time (such as the number of touches, the shaking amplitude or the number of voice awakenings), and whether to actively start the light and shadow output. These data reflect the true participation willingness and interaction intensity of children in different rhythm states.

[0093] The rhythm learning unit constructs the so-called "deviation data" by analyzing the matching degree between these behavior data and the current rhythm state. For example, if the original rhythm model sets the period from 2 pm to 3 pm as a low excitement state, but the system detects a relatively high active interaction frequency and continuous usage time during this period for many times, it can be judged that there is a deviation in this rhythm determination. On this basis, the rhythm learning unit uses statistical learning methods to inductively analyze the deviation data, and the algorithms that may be used include weighted average, linear regression, time series analysis or rule-based dynamic weight adjustment.

[0094] When the number of deviation data samples recorded by the rhythm learning unit reaches a set threshold, for example, there is a significant deviation accumulation in a certain time period for seven consecutive days, the system will trigger the model update mechanism. At this time, the rhythm learning unit will correct the determination weight of this time period in the rhythm model. For example, it will be adjusted from the original "low activity" stage to "medium activity" or "high response sensitive period". This adjustment not only affects the current model operation, but also serves as the corrected reference basis in subsequent recognition cycles, making it easier for the rhythm recognition unit to judge the current true state of the child, thereby driving a more reasonable light and shadow output.

[0095] To avoid overfitting or short-term behavior interfering with the long-term model during the learning process, the rhythm learning unit can also set an upper limit on the update frequency, a memory decay mechanism, or a model rollback mechanism to ensure the smoothness and stability of model evolution. In addition, the system can also set different learning sensitivity parameters according to different age stages of children to support the adaptation to the changing sleep-wake rhythms during the growth process.

[0096] Through the above mechanism, the rhythm learning unit realizes the closed-loop learning process of feeding the actual interaction data of children back into the rhythm recognition model, enabling the system to have the ability of "the more it is used, the more it understands", greatly enhancing the user adaptability and rhythm guidance effectiveness of the present invention in the actual use process.

[0097] Furthermore, the rhythm learning unit further includes a rhythm adaptive modeling module for constructing a dynamic weight adjustment function based on the historical response behaviors of children. The dynamic weight adjustment function is used to adjust the weight values of each rhythm determination factor in the rhythm recognition unit in real time, so that the rhythm recognition model can dynamically adapt to the physiological rhythm characteristics of individual children; Specifically, the calculation formula of the function W(t) is as shown in Formula 1 below: ; Among them, represents the comprehensive adjustment value of the rhythm model weight at the current time ; is the total number of rhythm determination factors in the rhythm recognition unit, and the rhythm determination factors at least include the natural light change trend, the matching degree of light intensity and time offset, and the environmental light stability; is the th initial basic weight of the rhythm determination factor, which is preset by the system and stored in the rhythm learning unit; is a non-linear compression mapping function, defined as Formula 2 below: ; Among them, is the slope parameter, is the behavior sensitivity threshold; is the historical response density distribution function, defined as the average probability value of a child's positive response to the th decision factor in a specific rhythm state within the past rhythm cycles, as shown in Formula 3 below: ; where represents the relative frequency of a child's positive response to the th factor during the th cycle, which is determined by the number of user-initiated interactions or the duration of effective interactions; is the short-term behavior deviation index, defined as the relative deviation of the child's immediate response frequency in the current cycle from the historical average frequency, calculated using Formula 4 below: ; where is the deviation sensitivity coefficient, is the immediate response frequency in the current cycle; The rhythm learning unit calculates according to the above formula in each time cycle, and dynamically updates the weights of the corresponding rhythm decision factors in the rhythm recognition unit with the calculation result, so that the subsequent generated target rhythm state data can more accurately reflect the actual physiological rhythm characteristics of the current child, thereby improving the matching degree and adaptability of the light and shadow output to the child's individual physiological rhythm.

[0098] In the present invention, in order to achieve physiological rhythm modeling and adaptability optimization for individual children, the rhythm learning unit is provided with a rhythm adaptive modeling module. The core function of this module is to dynamically adjust the weights of each decision factor in the rhythm recognition unit based on the long-term recorded child interaction behavior data, so that the rhythm state output by the model is more in line with the real life rhythm and individual differences.

[0099] To achieve the above function, the system introduces a dynamic weight adjustment function to generate the weight adjustment coefficient at the current moment. This function is defined as follows: ; where, is a scalar used to comprehensively evaluate the adaptability performance of multiple rhythm decision factors. The output value of this function can be used to update the actual participation weights of each decision factor in the rhythm recognition model, for example, using . in the form of weight replacement or dynamic scaling.

[0100] In the above formula, the variable meanings are as follows: is the number of rhythm determination factors, which is generally 3 to 5 in actual deployment, including but not limited to the natural light change trend, the matching degree of light intensity and time offset, and the environmental light stability, etc. Each factor represents an important dimension affecting the judgment of children's physiological rhythm state.

[0101] represents the initial basic weight of the th determination factor, which is set by system engineers according to experience or literature data. The recommended value range is , and the sum of all can be normalized to 1.

[0102] is the historical response density function, which reflects the response density of children to the th factor in the past time period. This value is calculated by the following formula: ; where, is the number of periods of the historical time window, and it is recommended to take values of 5 to 10 rhythm periods (such as hours, days or other fixed periods) to ensure the stability and long-term representativeness of the response average value. is the number of the current rhythm period, that is, it is used to describe the "current moment" in the time series.

[0103] represents the positive response frequency of children to the th factor in the th period, and its value can be obtained in the following two ways: 1. Count the trigger events related to this factor (such as whether the child approaches or touches after the toy flashes); 2. Statistically calculate the ratio of the duration that the child stays in front of the toy to the total duration during the existence of the light and shadow output related to this factor.

[0104] To ensure comparability, value needs to be normalized to the interval.

[0105] Next, the system applies the nonlinear compression function to to construct a nonlinear mapping of the response density. This function is defined as follows: ; The advantage of this function is that for low response values, the change is gentle, while in the middle interval, the change is more sensitive, and the high response area is saturated, which helps to avoid excessive system regulation caused by extreme values.

[0106] where, is the slope control parameter, which affects the steepness of the function. The recommended value is ; is the behavior sensitivity threshold, which represents the sensitive starting point of the model for the response density. The recommended value is .

[0107] The third multiplier term is the short-term behavior deviation index, which is used to reflect the deviation degree between the current child's behavior and the historical average behavior. This term is defined as follows: ; Among them, is the immediate response frequency within the current period , and the acquisition method is the same as that of ; is the historical average response density (the same as formula 3); is the deviation sensitivity coefficient, which controls the amplification or suppression of the system for short-term deviations. The recommended value is .

[0108] When , it indicates that the behavior activity level in the current period is higher than the historical level. The model will correspondingly increase the weight of this factor to strengthen its influence; conversely, if the deviation is negative, the weight will be weakened, so as to achieve the rapid self-adaptation of the rhythm model.

[0109] During the operation of the system, the rhythm learning unit executes the calculation logic defined by formula (1) once every rhythm period (which can be set to 30 minutes or 1 hour), and outputs , which is used to dynamically update the actual application weights of each decision factor, and finally feedback to the rhythm recognition unit for the target rhythm state recognition in the next period.

[0110] Through the above non-linear dynamic adjustment mechanism, the system can gradually adjust the judgment behavior of the model to be more in line with the rhythm behavior of individual children on the premise of ensuring the overall stability, so as to make the light and shadow output more adaptable, rhythm-guided and comfortable, improve the use experience and reduce the risk of excessive stimulation caused by rhythm mismatch.

[0111] In this specification, the variable both represent the current rhythm learning cycle number, that is, the nearest time unit where the system is located, such as one hour or a complete light and shadow output cycle. The specific cycle length can be adjusted according to the system settings. This variable appears as a time reference in all relevant formulas, and is used to uniformly represent the behavior response data sampling, weight adjustment calculation and state recognition behavior, etc. at the current time point.

[0112] In a practical application scenario, a smart light and shadow toy for preschool children (aged 3 - 5) is deployed in a family bedroom. The purpose is to assist parents in guiding children to switch states at different times in a non - verbal way, such as boosting vitality in the morning and gradually calming down in the evening. The toy is embedded with a biological rhythm synchronization light and shadow adjustment system, and the rhythm learning unit includes a rhythm adaptive modeling module, which is used to dynamically identify and optimize the rhythm state judgment model, so that the light and shadow output better fits the child's real physiological state.

[0113] In the initial deployment stage of the system, there are three rhythm determination factors in the model, namely: Natural light change trend factor , to judge whether the current indoor and outdoor light is in an upward or downward trend; Time offset matching degree factor , to judge whether the current time coincides with the standard daily routine template; Ambient light stability factor , to judge the degree of ambient light fluctuation in a short period of time.

[0114] For these three factors, the initial basic weights set by the system are: .

[0115] As the usage progresses, the system starts to record the response behaviors of children at different times. For example, in the period from 7:30 to 8:00 in the morning, the system outputs high - brightness light and shadow and observes whether the child approaches the toy, triggers the button or has an interaction. The system detects that the active participation rate of children is relatively low for several consecutive days, but after the light effect is pushed during the quiet period from 20:00 to 20:30 in the evening, the staying duration and interaction frequency of children increase significantly.

[0116] Therefore, based on the behavior responses in the past 7 days within, the system calculates the historical response density of each factor , for example: (low response to natural light trend) (strong time consistency) (high consistency between environmental stability and behavior) At the same time, the system detects the immediate response frequency during the current period (i.e., this evening): .

[0117] The system inputs this set of data into the following three calculations: First, calculate the short - term behavior deviation index: ; Second, use the sigmoid function for non-linear compression (assuming ): ; Third, calculate the comprehensive adjustment function : ; This value represents the degree to which the overall rhythm state judgment of the model deviates from the individual's true response in the current cycle. At this time, the system applies this adjustment value to the basic weight correction. For example, the correction for the 3rd factor is: ; The updated weights will replace the static weights in the original model and be used for the inference calculation of the rhythm state in the next cycle. Since children's response to the 3rd factor is strong and stable, the weight of this factor is increased, enhancing the system's dependence on "environmental stability"; while the response to the 1st factor (natural light trend) is weak, the system automatically reduces its influence in the rhythm recognition model.

[0118] Furthermore, the biological rhythm synchronization children's toy light and shadow adjustment device further includes a rhythm prompt unit, which is used to send a transitional guidance signal to children when it is recognized that the target rhythm state data has a phased change. The guidance signal includes a low-intensity light and shadow pre-change prompt, a soft prompt sound, or an image element with a rhythm hint meaning. Among them, the rhythm prompt unit is specifically used for: In a predetermined period when the rhythm recognition unit determines that it is about to transition from a high-excitement state to a low-excitement state, a gradually changing characteristic signal is generated in advance, enabling children to gradually adapt to the upcoming state change at the emotional and sensory levels, thereby avoiding interference from sudden stimuli to emotions, attention, or rest rhythms, and enhancing the smoothness and perceptibility of the rhythm synchronization process.

[0119] The biological rhythm synchronization children's toy light and shadow adjustment device further introduces a rhythm prompt unit, aiming to enhance the smoothness of user perception and the guidability of behavior during rhythm switching. This rhythm prompt unit is mainly used to actively send a type of "transitional guidance signal" when the system detects that the rhythm state of the child is about to undergo a phased change, especially when transitioning from a high-excitement state (such as an active period or a game period) to a low-excitement state (such as a quiet period or a stage of preparing to fall asleep). Through gentle sensory prompts, it guides children to gradually adapt to rhythm changes at the psychological and physiological levels, avoiding resistance, fatigue, or emotional instability caused by sudden changes in stimulus intensity.

[0120] The rhythm prompting unit can be composed of a group of low-power output devices, including auxiliary LED light sources, speakers, flexible displays, or other sensory output components with prompting capabilities. This unit maintains a data connection with the rhythm recognition unit and triggers the generation logic of the prompting signal when the target rhythm state data exhibits the characteristic of "about to switch states". Specifically, when the system determines that the current rhythm state is in the high-excitement stage (such as the active period in the afternoon), and will enter the low-excitement stage (such as the calm period in the evening) within a predetermined time window, the rhythm prompting unit will generate a group of prompting signals with a "gradual change characteristic" within a buffer period before the switch.

[0121] These prompting signals can be embodied in various sensory forms. For example, in the dimension of light and shadow, a soft light transition is achieved by gradually decreasing the brightness and gradually transforming the color towards warm colors, avoiding the irritation to the eyes caused by sudden high brightness stop; in the dimension of sound, a prompting melody with gradually slowing rhythm and decreasing volume can be output, such as background natural sounds, soft prompting ringtones, etc., to help the child's psychological expectation to change; if the device is equipped with the ability to output images or animations, a visual atmosphere of rhythm hint can also be constructed by playing cartoon images, starry sky backgrounds, etc. that slowly zoom in, fade, or transition to night.

[0122] The control logic of the rhythm prompting unit can preset a group of "rhythm transition trigger conditions", including time critical values, the duration of the previous rhythm stage, sudden drop in interaction activity, etc. Once the detection conditions are met, it enters the prompting stage, and the duration, intensity, and change trajectory of this prompting stage can also be controlled by the subsidiary adjustment parameters output by the parameter generation unit to achieve the coordination and unity between the prompting strategy and the main rhythm regulation strategy.

[0123] The core advantage of this unit is that it does not directly intervene in the adjustment of the main light and shadow output behavior, but sets up a perceptual transition link before the rhythm stage conversion, enabling the child to naturally perceive that the current state is gradually changing without external forced prompting or manual intervention, and thus actively adjust the behavior state, such as reducing intense activities, lowering the voice, or preparing to go to sleep. The introduction of the rhythm prompting unit greatly enhances the flexibility of the rhythm synchronization of the device, avoiding the experience breakage caused by the lack of rhythm transition management in previous children's intelligent devices.

[0124] Although this application is disclosed above in preferred embodiments, it is not used to limit this application. Any person skilled in the art can make possible changes and modifications without departing from the spirit and scope of this application. Therefore, the protection scope of this application should be subject to the scope defined by the claims of this application.

Claims

1. A light and shadow adjustment device for a biological rhythm synchronization children's toy, characterized in that, Comprising: A light sensor unit for obtaining the light intensity parameters of the current environment and generating light perception data; A rhythm recognition unit for generating target rhythm state data based on the light perception data and the current time information, in combination with a preset physiological rhythm model, where the target rhythm state data indicates the activity cycle stage of the current child; A parameter generation unit for generating a light and shadow adjustment parameter set according to the target rhythm state data, where the light and shadow adjustment parameter set includes adjustment information for controlling brightness, color temperature, frequency or fade duration; A light effect driving unit for controlling the light-emitting components of the toy to generate a light and shadow output effect matching the child's physiological rhythm according to the light and shadow adjustment parameter set.

2. The biological rhythm synchronization children's toy light and shadow adjustment device according to claim 1, characterized in that, It further includes a sound adaptation unit for generating a sound adjustment parameter set according to the target rhythm state data, where the sound adjustment parameter set includes a volume value, a rhythm frequency, a timbre channel and an audio transition duration; wherein, the sound adaptation unit is specifically used for: Mapping the brightness change rate in the light and shadow adjustment parameter set to a corresponding rhythm frequency value to make the audio rhythm consistent with the light and shadow brightness change rhythm; Mapping the interval where the color temperature value is located to a preset timbre channel number and selecting the corresponding audio material from the timbre library; Controlling the time length of the audio fade-in or fade-out process according to the fade duration, so that the audio change is synchronized with the light and shadow change in the time dimension, thereby forming a multi-sensory output effect with a structural correspondence relationship.

3. The biological rhythm synchronization children's toy light and shadow adjustment device according to claim 2, characterized in that, It further includes an interaction response unit for generating a behavior intervention signal based on the target rhythm state data and a user trigger event, where the user trigger event includes the child's touch, shake or voice emission of the toy; wherein, the interaction response unit is specifically used for: When detecting the occurrence of a trigger event, judging whether the trigger is appropriate according to the current rhythm stage, and dynamically adjusting the output priority or delay response strategy of the light and shadow adjustment parameter set according to the judgment result, so as to avoid excessive stimulation when the child is in a low-excitement rhythm state, and at the same time enhance the feedback intensity in a high-excitement state, thereby realizing a behavior intervention-based light influence response mechanism based on the rhythm adaptation principle and improving the human-computer interaction rationality and rhythm guidance function of the toy.

4. The biological rhythm synchronization children's toy light and shadow adjustment device according to claim 3, characterized in that, It further includes a rhythm learning unit for recording the response relationship between the target rhythm state data and the actual user behavior during long-term use, and dynamically optimizing the physiological rhythm model based on statistical learning methods; wherein, the rhythm learning unit is specifically used for: By detecting the residence time, interaction frequency or active trigger behavior of the child on the light and shadow output in a specific time period, constructing deviation data from the existing rhythm model, and adjusting the rhythm state determination weight of the corresponding time period in the model after reaching the preset sample quantity, so that the rhythm recognition unit is more in line with the daily routine of individual children in subsequent recognition.

5. The biological rhythm synchronization children's toy light and shadow adjustment device according to claim 4, characterized in that, The device further comprises a rhythm prompting unit, which is used to send a transitional guidance signal to the child when a phased change in the target rhythm state data is identified, wherein the guidance signal includes a low-intensity light and shadow pre-change prompt, a soft prompt sound, or an image element with rhythmic suggestion meaning, wherein the rhythm prompting unit is specifically used to: During the predetermined period when the rhythm recognition unit determines that the child is about to transition from a high-excitement state to a low-excitement state, a gradual characteristic signal is generated in advance, allowing children to gradually adapt to the upcoming state change at the emotional and sensory levels, thereby avoiding sudden stimulation from interfering with emotions, attention or work and rest rhythms, and improving the smoothness and perceptibility of the rhythm synchronization process.

6. The biological rhythm synchronization children's toy light and shadow adjustment device according to claim 1, characterized in that, The rhythm recognition unit is specifically used for: By establishing a cross-mapping rule between ambient light and time periods, the light perception data and current time information are input into a rhythm state inference model, which is based on a set of rhythm determination factors optimized for children's daily life rhythm, including natural light change trend, light intensity and time offset matching, ambient light stability within the time continuity window, and work and rest rhythm templates corresponding to children's age groups; The rhythm recognition unit generates target rhythm state data with confidence annotations by fusing the rhythm determination factors to determine whether the child is more likely to be in an active period, a transition period or a quiet period in the current time period, thereby realizing intelligent recognition of the physiological rhythm state in a dynamic lighting environment.

7. The biological rhythm synchronization children's toy light and shadow adjustment device according to claim 6, characterized in that, The parameter generation unit is specifically used for: Based on the rhythm stage type indicated in the target rhythm state data and its confidence value, a corresponding light and shadow adjustment parameter set is selected from a multidimensional parameter mapping matrix, wherein the parameter mapping matrix uses the rhythm stage as an index dimension, combines the child's age group, the physiological rhythm sensitivity level and the current ambient light state level, and outputs a combination of brightness, color temperature, frequency and gradient duration that matches the target rhythm state data; Among them, the parameter generation unit is also used to perform amplitude modulation on the adjustment parameter according to the size of the confidence value. If the confidence of the recognition result is higher than the preset threshold, the target parameter set is directly called. If the confidence is in the middle interval, the interpolation algorithm is used to dynamically transition between the parameters of adjacent rhythm stages, thereby generating a continuous and smooth light and shadow adjustment output to avoid sudden changes in light effects caused by fluctuations in the rhythm state.

8. The biological rhythm synchronization children's toy light and shadow adjustment device according to claim 7, characterized in that, The light effect driving unit is specifically used for: The brightness, color temperature, frequency and gradient duration parameters in the light and shadow adjustment parameter set are time-series decoded and channel-allocated, and a multi-channel pulse width modulation control signal sequence is constructed according to each adjustment information, which acts on multiple independently controllable light-emitting component channels in the toy respectively to achieve zoned coordinated light changing; wherein, the light effect driving unit further synchronizes and calibrates the output signals of each channel on the time axis based on the synchronization requirements of the rhythmic state, so that light-emitting units of different colors and different positions present a uniform transition rhythm in brightness and color temperature.

9. The biological rhythm synchronization children's toy light and shadow adjustment device according to claim 6, characterized in that, The rhythm state inference model is further used for: when generating the target rhythm state data, constructing a multi-item scoring vector based on the individual scoring results of each rhythm determination factor, and performing weighted summation through a set weight allocation rule, where the weight value is dynamically adjusted according to the age range of children, so that the sensitivity to the natural light trend accounts for a higher proportion in young children, and the judgment of time matching degree accounts for a higher proportion in older children; mapping the weighted scoring result to one of the three rhythm state types, and generating a corresponding confidence score to achieve an adaptive recognition output that fits the physiological rhythm of children.

10. The biological rhythm synchronization children's toy light and shadow adjustment device according to claim 7, characterized in that, The multi-dimensional parameter mapping matrix is constructed in a hash structure, and a multi-level index quadruple composed of a rhythm stage identifier, an age range number, a physiological rhythm sensitivity label, and ambient light is used as a key-value index, and each entry is associated with a set of light and shadow adjustment parameter sets; the parameter generation unit supports a partial dimension default compensation mechanism during the retrieval process. When one dimension is missing, the optimal approximate matching is performed through the distance weight based on adjacent dimensions, so as to ensure that stable light and shadow adjustment parameters can still be output under complex or incomplete recognition conditions, and improve the fault tolerance ability of the system to rhythm judgment errors or external data anomalies.

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