Writing teaching system based on deconstructed Chinese characters
By combining hardware and software, standardized analysis and personalized feedback for Chinese character writing instruction have been achieved, solving the problems of inconsistent analysis, delayed feedback, and insufficient adaptability in traditional teaching, and improving learning efficiency and accuracy.
Patent Information
- Application Number
- CN202511697166.8
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-11-19
- Publication Date
- 2026-03-03
AI Technical Summary
Traditional Chinese character writing instruction lacks standardized explanations, real-time feedback, and personalized adaptation, resulting in low learning efficiency, poor comprehension accuracy, and an inability to meet the needs of different learning styles.
By combining the hardware interaction layer and the software function layer, and using pressure-sensing and coordinate-positioning writing acquisition devices and high-resolution display devices, along with classification algorithms based on the structural features of Chinese characters, the system can automatically analyze and provide real-time feedback on the block surfaces, veins, spacing, and rhythm of Chinese characters, record the learning process, and generate personalized practice plans.
It has standardized the rules for deconstructing Chinese characters, shortened the learning time, improved the efficiency of error correction and learning, adapted to the personalized needs of different learners, and enhanced the level of intelligence in Chinese character writing instruction.
Smart Images
Figure CN121600783A_ABST
Abstract
Description
Technical Field ,
[0004]
[0001] The present invention belongs to the technical field of Chinese character writing teaching, and specifically relates to a writing teaching system integrating the logic of Chinese character deconstruction. Through the cooperation of hardware interaction and software algorithms, it realizes the automatic parsing of Chinese character structures and the intelligent guidance of the writing process, and is applicable to children and Chinese character writing learners to efficiently improve their writing abilities. Background Art
[0002] Traditional Chinese character writing teaching relies on the pure manual mode of "stroke training + copybook copying", and there are two core problems: One is that the teaching rules rely on manual transmission (such as teachers explaining the ancient people's formulas), and cannot achieve standardized parsing. Learners have low accuracy and large differences in understanding Chinese character structures. In actual teaching, different teachers often have subjective biases in the interpretation of Chinese character structure rules. For example, when explaining the "alignment of the veins of left-right structure Chinese characters", some teachers focus on "the horizontal strokes are flush at the top", some teachers emphasize "the vertical strokes are aligned with the center line", and even the same teacher's interpretation standards for different Chinese characters will fluctuate; this non-standardized transmission causes learners to repeatedly adjust their cognition of Chinese character structures when learning across classes and stages. For example, the closing shape block rule of the character "kang" mastered in the lower grades of primary school may be confused in the higher grades due to different interpretations by teachers. Eventually, the accuracy of understanding Chinese character structures is generally lower than 40%, and the understanding difference rate among learners exceeds 60%.
[0003] The second is the lack of technical carrier support, and it is impossible to give real-time feedback on writing problems, resulting in a long learning cycle and low efficiency. In traditional teaching, after learners complete their writing exercises, they need to wait for manual correction by teachers, and the feedback cycle is usually 1 - 3 days. During this period, incorrect writing habits (such as the "field" block in the character "si" being too wide and the veins of the character "ji" being misaligned) have been solidified through repeated writing. According to teaching practice statistics, if incorrect writing is repeated more than 10 times, an additional 3 - 5 days of special training is required for subsequent correction; and manual correction can only point out general problems such as "the structure is incorrect", and cannot accurately locate the deviation details (such as the block shifting 2mm and the blank spacing being uneven by 1mm), making it difficult for learners to improve targeted, further prolonging the learning cycle. On average, it takes 6 - 8 months to master the writing of 3,500 common Chinese characters, which is much higher than the reasonable expectation.
[0004] Existing purely pedagogical methods (without technological systems) remain at the level of "thinking guidance," falling under the category of intellectual activities. They cannot achieve automation of Chinese character deconstruction, accurate collection of writing data, or personalized guidance through technological means. These methods rely heavily on paper textbooks and blackboard writing to convey deconstruction rules, failing to adapt to the needs of different learning styles—visual learners require dynamic demonstrations of the block deconstruction process, auditory learners need verbal reinforcement of the rules, and tactile learners need to perceive the relationship between writing pressure and spacing in real time. The purely manual mode can only convey information in a single form. Furthermore, it is difficult to track learning process data and adjust teaching plans based on learners' block comprehension deviation rates, rhythm mastery speed, and other personalized indicators. As a result, approximately 30% of learners achieve only 50% of the average learning efficiency due to insufficient adaptability.
[0005] In the current trend of digital education, subjects such as mathematics and English have widely adopted intelligent teaching systems (such as real-time error correction for math AI problem solving and intelligent scoring for English oral communication). However, the field of Chinese character writing has long been in a technological vacuum, lacking both software algorithms that can automatically analyze the blocks and structures of Chinese characters and hardware acquisition devices adapted to writing scenarios. This results in a significant gap in technological empowerment compared to other subjects.
[0006] Therefore, there is an urgent need for a writing teaching system that incorporates technological carriers. By combining hardware and software, the rules for deconstructing Chinese characters can be transformed into an executable technical process, solving the multiple defects of traditional teaching such as "lack of standardized technical support, lack of real-time feedback, and lack of personalized adaptation," and filling the technological gap in the field of Chinese character writing teaching. Summary of the Invention
[0007] This invention aims to overcome the shortcomings of traditional pure teaching methods, which lack technological carriers, automated analysis, and real-time feedback. By constructing a teaching system that includes hardware and software modules, the following technical objectives are achieved: First, software algorithms are used to automatically analyze the blocks, structure, spacing, and rhythm of Chinese characters, ensuring the standardization of deconstruction rules. Secondly, writing data is collected through hardware interaction, and combined with algorithms to compare standard deconstruction results in real time to generate writing guidance feedback. Third, the learning process is recorded through the data storage module, providing personalized teaching solutions, ultimately improving teaching efficiency and shortening learning time.
[0008] To achieve the above objectives, the present invention provides the following technical solution: A writing teaching system based on deconstructing Chinese characters includes a hardware interaction layer and a software function layer, which are connected through a data interface. The hardware interaction layer includes a writing acquisition device and a display device; the writing acquisition device has pressure sensing and coordinate positioning functions, used to collect learners' writing data in real time, including stroke trajectory, pressure value, and writing speed; the display device is used to display the standard deconstruction results of Chinese characters and real-time guidance feedback; the software function layer includes a Chinese character deconstruction module, a data comparison module, an intelligent guidance module, and a data storage module. The Chinese character deconstruction module pre-stores a standard deconstruction database containing 3500 commonly used Chinese characters. It automatically analyzes the blocks, veins, spacing, and rhythm of Chinese characters using a classification algorithm based on the structural features of Chinese characters. The classification algorithm based on the structural features of Chinese characters pre-sets the following rules: the correspondence between the block types (open, closed, and misaligned) and the structure of Chinese characters; the generation logic of the horizontal and vertical baselines of the alignment lines of the veins; the division criteria for the spacing areas (uniform areas within the character and extended areas outside the character); and the determination criteria for the length intervals of strokes in the same direction in the rhythm. Among these, blocks include type, size, and position; veins include alignment lines; spacing includes uniform areas within the character and extended areas outside the character; and rhythm includes the length intervals of strokes in the same direction. The data comparison module is used to receive writing data, compare it with standard deconstruction parameters using a difference algorithm, and calculate the deviation. The difference algorithm includes a coordinate difference algorithm and a duration ratio algorithm. The coordinate difference algorithm calculates the absolute positional deviation of each sampling point on the stroke trajectory from the corresponding coordinates of the standard block face. The duration ratio algorithm calculates the relative speed deviation between the actual writing speed and the standard rhythm duration. The preset deviation thresholds are coordinate deviation ≤ 2mm and speed deviation ≤ 30%. When the deviation exceeds the threshold, it is marked as a problem point. The intelligent guidance module uses a multimodal feedback generation algorithm to generate guidance feedback that combines text and graphics based on deviation results. At the same time, it combines historical deviation data in the data storage module and uses a personalized recommendation algorithm to generate personalized practice plans. The personalized recommendation algorithm increases the amount of practice for corresponding types of Chinese characters by statistically analyzing the block, vein, spacing, and rhythm types of high-frequency deviations in historical data based on the frequency of deviation types and the distribution characteristics of deviation values. The data storage module is used to record writing deviation data, including deviation type, deviation value, number of practice sessions, and feedback viewing time, providing data support for the personalized recommendation algorithm of the intelligent guidance module.
[0009] Furthermore, the writing acquisition device is a digital tablet or capacitive screen with a pressure sensing accuracy of ≥2048 levels, and the display device has a resolution of ≥1920×1200 and a size of ≥10.1 inches.
[0010] Furthermore, the block types of the Chinese character deconstruction module include open-mouth, closed-mouth, and misaligned shapes. The classification algorithm based on the structural features of Chinese characters pre-sets: open-mouth shapes correspond to all Chinese characters with top-bottom structures and most Chinese characters with left-right structures; closed-mouth shapes correspond to some Chinese characters with left-right structures; and misaligned shapes correspond to Chinese characters with equal block structures. The alignment lines include the horizontal baseline when horizontally aligned and the vertical baseline when vertically aligned. The generation logic is pre-set by the classification algorithm based on the structural features of Chinese characters according to the structural types of Chinese characters: left-right, top-bottom, and enclosing structures.
[0011] Furthermore, in the difference algorithm of the data comparison module, the coordinate deviation is calculated by the coordinate difference algorithm to calculate the difference between the stroke trajectory and the standard block coordinates, that is, |actual sampling point coordinates - standard coordinates|; the speed deviation is calculated by the time ratio algorithm to calculate the ratio of the actual writing speed to the standard rhythm duration, that is, |actual writing time - standard rhythm duration| / standard rhythm duration; when the deviation exceeds the threshold, it is marked as a problem point.
[0012] Furthermore, the data storage module adopts dual storage, local and cloud storage. The local storage stores data for the past 30 days, allowing the personalized recommendation algorithm to quickly access recent deviation data; the cloud storage stores historical data, allowing the personalized recommendation algorithm to statistically analyze long-term deviation patterns; and it supports exporting data in Excel or PDF formats.
[0013] Furthermore, the multimodal feedback generation algorithm of the intelligent guidance module automatically matches the graphic feedback form according to the deviation type: for the deviation of the vein alignment, the baseline is highlighted; for the deviation of the white space spacing, the white space area is highlighted; and for the deviation of the block position, the block boundary is highlighted. The text feedback content is automatically generated by the multimodal feedback generation algorithm in combination with the deviation value, including the deviation type, adjustment direction and adjustment range.
[0014] Compared to traditional pure teaching methods, this invention has significant technical advantages: 1. Technical standardization: The software algorithm automates the deconstruction of Chinese characters, avoiding subjective differences from human explanations and improving the consistency of deconstruction rules by more than 90%. 2. Real-time technical feedback: Through hardware acquisition and algorithm comparison, writing problems are detected in real time (feedback delay < 0.5 seconds), learners do not need to wait for manual correction, improving error correction efficiency by 200%; 3. Personalized technical solutions: Through data storage and analysis, targeted practice plans are generated, further reducing learning time by more than 15 days (compared to the original teaching method's 30-day reduction). 4. Technical scalability: Supports hardware upgrades (such as connecting to higher precision writing pens) and software iterations (such as adding a database of uncommon characters) to adapt to the writing teaching needs at different stages. Brief Description of the Drawings
[0015] Figure 1 This is a schematic diagram of the system architecture of a writing teaching system based on deconstructing Chinese characters according to the present invention. Detailed Embodiment
[0016] To make the objectives, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are some, rather than all, of the embodiments of the present invention. Usually, the components of the embodiments of the present invention described and shown in the drawings here can be arranged and designed in various different configurations.
[0017] The writing teaching system based on deconstructing Chinese characters proposed by the present invention includes a hardware interaction layer and a software function layer. Each layer works together through a data interface. The specific structure and process are as follows: (1) Hardware Interaction Layer It is used to collect learners' writing data and display teaching content, and includes the following hardware components: Writing Acquisition Device: A digitizing tablet or a capacitive screen is used, which has pressure sensing (accuracy ≥ 2048 levels) and coordinate positioning functions, and can collect the stroke trajectory, pressure value, and writing speed data of learners in real time during writing, and transmit the data to the software function layer; Display Device: A display screen (size ≥ 10.1 inches, resolution ≥ 1920×1200) linked to the writing acquisition device, which is used to display the standard deconstruction results of Chinese characters (such as block surface partition, vein alignment line, blank area annotation) and real-time feedback information.
[0018] (2) Software Function Layer It realizes Chinese character deconstruction, data comparison, and guidance feedback through software modules, and includes the following functional modules: Chinese Character Deconstruction Module: A standard deconstruction database of 3500 common Chinese characters (including block surface, vein, blank, and rhythm parameters) is pre-stored, and the deconstruction data of the corresponding Chinese characters is called through a preset algorithm (a classification algorithm based on the structural characteristics of Chinese characters): Block Surface Analysis: Automatically annotate the block surface type (open-mouth type / closed-mouth type / misaligned type) of Chinese characters, the block surface size ratio (such as the ratio of "field" to "heart" in "thinking" is 3:2), and the block surface position coordinates; Vein Analysis: Automatically generate vein alignment lines (generate a horizontal reference line when leveling left and right, and generate a vertical reference line when aligning up and down); Blank Analysis: Automatically annotate the evenly distributed area within the character (such as the blank spacing range between the horizontal strokes of "front") and the extended area outside the character; Rhythm Analysis: Automatically annotate the length intervals of the same-direction strokes (such as the length range of the three horizontal strokes of "three").
[0019] Data comparison module: Receives real-time writing data transmitted by the writing acquisition device through a data interface, compares it with the standard parameters output by the Chinese character decomposition module, and calculates the deviation using a difference algorithm (such as the coordinate deviation between the stroke trajectory and the standard block surface, and the duration deviation between the writing speed and the standard rhythm). When the deviation exceeds the preset threshold (such as the coordinate deviation > 2mm, the speed deviation > 30%), it is marked as a writing problem point.
[0020] Intelligent guidance module: Based on the deviation results of the data comparison module, automatically generates text + graphic guidance feedback (such as "The position of the block surface is offset, and it needs to be aligned with the vertical reference line on the right"), and highlights the reference line on the display device. At the same time, according to the historical deviation data (stored in the data storage module), generates a personalized practice plan (such as increasing the practice amount of Chinese characters with a high deviation rate for "closed-mouth-shaped block surfaces").
[0021] Data storage module: Adopts dual storage of local + cloud (stores data for nearly 30 days locally and historical data in the cloud), records the writing deviation data, practice times, and feedback viewing duration of each Chinese character, and supports data export (in the format of Excel / PDF) for learners or teachers to analyze the learning progress.
[0022] (3) System working process The learner selects a target Chinese character (such as "carry") on the writing acquisition device, and the system calls the Chinese character decomposition module to display the standard decomposition result of "carry" (marked closed-mouth-shaped block surface, horizontal reference line on the left and right, blank area, rhythm length interval) on the display device; The learner starts writing, and the writing acquisition device real-time collects stroke trajectory, pressure value, and writing speed data and transmits it to the data comparison module; The data comparison module compares the real-time data with the standard decomposition parameters. If it detects that "the vertical stroke of the right 'worker' extends beyond the out-of-character stretching area (deviation > 2mm)", it is marked as a problem point; The intelligent guidance module generates feedback: "The out-of-character space is cramped, and the vertical stroke of the right 'worker' needs to extend 2mm to the right", and highlights the out-of-character stretching area on the display device; After writing, the data storage module records the current deviation data. If the problem point of "closed-mouth-shaped block surface" appears more than 3 times, the system automatically increases the practice tasks for closed-mouth-shaped Chinese characters such as "harmony" and "handle". Specific embodiment
[0023] Specific embodiment 1: Teaching process of the Chinese character "immediately" (misaligned block surface): Hardware Preparation: Use a Wacom Intuos digital tablet (pressure sensitivity level 2048) as the writing acquisition device, and a 12.9-inch iPad Pro (resolution 2732×2048) as the display device. Data interaction is achieved through Bluetooth. The software function layer is deployed in the local application of the iPad Pro (supporting systems above iOS 15.0), and cloud storage uses Alibaba Cloud servers.
[0024] Standard Deconstruction Display: When the learner selects "Ji" in the application, the Chinese character deconstruction module calls the standard data: Block Surfaces: Mark the left "Jie" and the right "Gen" as equal-sized and misaligned block surfaces. The coordinate range of the left "Jie" is (X: 10 - 30mm, Y: 5 - 25mm), the coordinate range of the right "Gen" is (X: 25 - 45mm, Y: 5 - 25mm), and the misaligned overlapping area is (X: 25 - 30mm, Y: 5 - 25mm); Vessels: Generate a horizontal reference line (Y: 15mm), and mark that "the top of the horizontal hook of the left 'Jie' and the top of the horizontal stroke of the right 'Gen' need to align with the reference line". This alignment judgment should be based on the stroke form of the handwritten font; Blank Spaces: Mark the blank space inside the character (the blank space inside "Jie" ≥ 3mm, the blank space between the horizontal strokes of "Gen" ≥ 2.5mm), and the extended area outside the character (the end of the left-falling stroke of the right "Gen" needs to extend to X: 45 - 50mm); Rhythm: Mark the length of the horizontal hook of "Jie" (8 - 10mm), the length of the upper horizontal stroke of "Gen" (12 - 14mm), and the length of the lower horizontal stroke of "Gen" (10 - 12mm).
[0025] Writing Acquisition and Comparison: When the learner writes "Ji", the digital tablet collects "the top coordinate of the horizontal stroke of the right 'Gen': Y: 17mm" (with a deviation of 2mm from the standard reference line Y: 15mm, exceeding the threshold of 2mm). The data comparison module marks "vessel alignment deviation".
[0026] Intelligent Feedback and Storage: The intelligent guidance module highlights the horizontal reference line (Y: 15mm) on the iPad Pro and pops up the feedback: "The vessels are not aligned, and the horizontal stroke of the right 'Gen' needs to be adjusted upward by 2mm"; The data storage module records this deviation (deviation type: vessel alignment, deviation value 2mm). If this deviation accumulates 2 times, the system automatically adds practice tasks for "Lang" and "Bu" (with the same misaligned block surfaces), and the practice volume is 1.5 times that of regular Chinese characters.
[0027] Specific Embodiment 2: Teaching Process of the Chinese Character "Ka" (upper and lower structure, open block surface) 1. Hardware and Software Environment Preparation Hardware Selection: Select the Wacom Intuos M digital tablet (with 2048 levels of pressure sensitivity and a sampling rate of 500 points per second) as the writing acquisition device, which can accurately capture the subtle trajectory changes of the strokes in the upper and lower structures of the character "卡"; pair it with a 13.3-inch Huawei MateBook 14 laptop (resolution 2160×1440, screen color gamut 100% sRGB) as the display device to ensure that the block surfaces and vein markings of the character "卡" are clearly visible; data transmission between the hardware is achieved through a USB-C data cable, and the latency is controlled within 0.3 seconds to meet the real-time feedback requirements.
[0028] Software Deployment: The software function layer is deployed in the "Chinese Character Deconstruction Writing Guide" desktop application adapted to the Windows 11 system (occupying memory ≤ 200MB, startup time < 10 seconds); the Chinese character standard deconstruction database pre-stores data of 3,500 common Chinese characters. Among them, the deconstruction parameters of the character "卡" are jointly calibrated by 3 calligraphy education experts, and the vein alignment logic of the upper and lower structures is optimized; the cloud storage uses Tencent Cloud Lightweight Application Server (2-core 4G configuration), and the data upload bandwidth ≥ 10Mbps to ensure real-time synchronization of learning data.
[0029] 2. Display of Standard Chinese Character Deconstruction Results After the learner enters "卡" in the "Chinese Character Selection" interface of the desktop application and confirms, the system calls the Chinese character deconstruction module to display the standard deconstruction results on the screen in the form of "layered visualization + annotation description", which fully corresponds to the customer's marking intention: Block Surface Analysis: Mark that the character "卡" is split into two open-shaped blocks, the upper "上" and the lower "下". The open boundaries of the two blocks are clearly marked with red lines (the bottom of the upper "上" has no closed occlusion, and the top of the lower "下" has no closed occlusion, which conforms to the definition of the open-shaped structure); the coordinate range of the upper "上" is (X: 35 - 65mm, Y: 85 - 115mm), with a width of 30mm and a height of 30mm; the coordinate range of the lower "下" is (X: 35 - 65mm, Y: 45 - 75mm), with a width of 30mm and a height of 30mm; the interface synchronously marks the text description "The upper and lower are of equal width: the upper '上' and the lower '下' have the same width to ensure the stability of the center of the Chinese character."
[0030] Vein analysis: Mark the vein line with a blue line to generate a vertical reference line (X: 50 mm, blue solid line) running through the upper and lower parts of the character "卡". The core alignment rule is marked beside the line: "Vertical alignment: The vertical center lines of the upper part '上' (running through the midpoint of the upper horizontal stroke and the vertical stroke) and the lower part '下' (running through the vertical stroke and the midpoint of the lower horizontal stroke) must completely coincide with the blue vein line." At the same time, green dots are marked at the intersection points of the blue vein line and the vertical strokes of the characters "上" and "下" to clarify the key alignment positions and avoid confusion in understanding caused by complex veins (fully adopting the customer's suggestion of "using simple Chinese characters to represent veins").
[0031] Blank space analysis: Mark the evenly distributed area within the character with a gray shadow - the distance between the two horizontal strokes of the upper part "上" should be maintained at 4 ± 0.5 mm (the blank space between the upper horizontal stroke and the middle horizontal stroke), and the distance between the two horizontal strokes of the lower part "下" should be maintained at 4 ± 0.5 mm (the blank space between the middle horizontal stroke and the lower horizontal stroke). Mark the extended area outside the character with a yellow dotted line to clarify that the two ends of the upper horizontal stroke of the character "上" and the two ends of the lower horizontal stroke of the character "下" can extend to the range of (X: 30 - 70 mm) to avoid the cramped shape of the character body.
[0032] Rhythm analysis: Mark the length intervals of the strokes in the same direction with orange numbers - the lengths of the three horizontal strokes of the character "上" are 25 mm, 30 mm, and 20 mm in sequence (short - long - shorter), and the lengths of the three horizontal strokes of the character "下" are 20 mm, 30 mm, and 25 mm in sequence (shorter - long - short), helping learners understand the symmetry logic of the lengths of the horizontal strokes in the upper - lower structure.
[0033] 3. Writing data collection and deviation comparison When learners write the character "卡" using a digital pen with pressure sensitivity, the writing acquisition device collects the following data in real time and transmits it to the data comparison module: Stroke trajectory: Record the coordinate changes 500 times per second to generate the complete trajectories of the horizontal / vertical strokes of the character "上" and the vertical / horizontal strokes of the character "下". Pressure value: Record the pressure of key strokes (such as the starting pressure of the vertical stroke of the character "上" is 120 g, and the ending pressure of the vertical stroke of the character "下" is 100 g). Writing speed: Record the writing duration of the horizontal strokes (such as the middle horizontal stroke of the character "上" is 0.6 seconds, and the middle horizontal stroke of the character "下" is 0.6 seconds).
[0034] The data comparison module compares the standard parameters through the "coordinate difference algorithm" and detects two problem points: Block - surface vein deviation: The actual coordinate of the vertical center line of the upper part "上" is X: 52 mm, deviating from the blue vein line (X: 50 mm) by 2.2 mm, exceeding the 2 - mm threshold, resulting in misalignment of the upper - lower structure. Spacing deviation of blank space: The actual distance between the middle horizontal stroke and the bottom horizontal stroke of the character "下" is 3.3 mm, which is lower than the standard range of 4 ± 0.5 mm, resulting in uneven internal space of the character.
[0035] 4. Intelligent guidance feedback and data storage Real-time feedback: Screen synchronization prompt —— ① The red arrow points to the vertical center line of the character "上": "Vein deviation: The character '上' needs to move 2.2 mm to the left to align the vertical center line with the blue vein line"; ② The purple double arrows mark the spacing of the character "下": "Too narrow blank space: The current spacing is 3.3 mm, which needs to be adjusted to 4 ± 0.5 mm. The length of the bottom horizontal stroke can be appropriately lengthened by 1 mm". Data storage: Record information such as the Chinese character "卡", writing time, deviation value (2.2 mm / 3.3 mm), etc., and synchronize it to the local and cloud; Use a heat map to mark the deviation area on the "Learning Report" interface; Personalized practice: If the vein deviation occurs continuously twice, the system increases the practice of Chinese characters with upper and lower structures such as "吕" and "昌" (the amount is 1.2 times the normal amount), and marks "Focus on training to align the blue vein line and ensure vertical and horizontal alignment".
[0036] 5. Verification of practice effect After the learner completes 3 practices, the block vein deviation drops to 0.7 mm (meeting the threshold), and the blank space spacing deviation drops to 3.8 mm (close to the standard); The system prompts "Mastery level 80%", and the "Learning Progress" interface updates the "Mastery rate of Chinese characters with upper and lower structures" from 35% to 80%.
[0037] To sum up, this technical solution stems from the breakthrough of the pain points in traditional Chinese character writing teaching. Aiming at the defects of pure teaching methods, it innovatively designs a writing teaching system that combines "hardware + software" to meet the requirements of the technical solution for patent protection.
[0038] The core of the system consists of a hardware interaction layer and a software function layer: The hardware layer includes a writing acquisition device with a pressure sensing accuracy of ≥2048 levels (such as a digital drawing tablet) and a high-resolution display device, which can accurately collect writing data (trajectory, pressure, speed) and clearly display the deconstruction results; The software layer includes four modules: Chinese character deconstruction, data comparison, intelligent guidance, and data storage, which can automatically analyze the block surface (open / closed / misaligned shape), veins (horizontal / vertical reference lines), blank space (even inside the character / 舒展 outside the character), and rhythm (length of strokes) of Chinese characters, generate deviation feedback by comparing real-time data with standard parameters, and store data to customize personalized practice plans.
[0039] This system effectively solves three major problems in traditional teaching: it standardizes deconstruction rules through software algorithms, eliminating human interpretation bias; it combines real-time hardware data collection with instant software comparison, reducing feedback delay to within 0.5 seconds to prevent the solidification of incorrect habits; and it generates personalized solutions based on historical data to suit the needs of different learners, filling the technological gap in the field of Chinese character writing instruction.
[0040] In practical applications, the system can improve the consistency of Chinese character deconstruction by more than 90% and the error correction efficiency by 200%. Compared with traditional teaching, it can further reduce the learning time by more than 15 days. It adapts to the trend of digital education, provides technical support for the intelligent teaching of Chinese character writing, and has clear technical attributes and practical value.
[0041] The present invention and its embodiments have been described above. This description is not restrictive, and the accompanying drawings are only one embodiment of the present invention; the actual structure is not limited thereto. In conclusion, if those skilled in the art are inspired by this description and design similar structures and embodiments without departing from the spirit of the invention, such designs should fall within the protection scope of the present invention.
Claims
1. A writing teaching system based on deconstruction of Chinese characters, characterized in that: It includes a hardware interaction layer and a software function layer, which are connected through a data interface; The hardware interaction layer includes a writing and acquisition device and a display device; The writing data acquisition device has pressure sensing and coordinate positioning functions, which are used to collect learners' writing data in real time. The writing data includes stroke trajectory, pressure value and writing speed. The display device is used to display the standard deconstruction results of Chinese characters and real-time guidance feedback. The software functional layer includes a Chinese character deconstruction module, a data comparison module, an intelligent guidance module and a data storage module. The Chinese character deconstruction module: pre-stores a standard deconstruction database containing 3500 commonly used Chinese characters, and automatically analyzes the blocks, veins, spacing, and rhythm of Chinese characters using a classification algorithm based on the structural features of Chinese characters; the classification algorithm based on the structural features of Chinese characters pre-sets the following rules: the correspondence between the block type (open, closed, and misaligned) and the structure of Chinese characters; the generation logic of the horizontal and vertical baselines of the vein alignment lines; the division criteria for the spacing area (uniform area within the character and extended area outside the character); and the determination criteria for the length interval of strokes in the same direction in rhythm. The blocks include type, size and position; the veins include alignment lines; the white space includes uniform areas inside the character and extended areas outside the character; and the rhythm includes the range of stroke lengths in the same direction. The data comparison module is used to receive writing data, compare it with standard deconstruction parameters using a difference algorithm, and calculate the deviation. The difference algorithm includes a coordinate difference algorithm and a duration ratio algorithm. The coordinate difference algorithm calculates the absolute positional deviation of each sampling point on the stroke trajectory from the corresponding coordinates of the standard block face. The duration ratio algorithm calculates the relative speed deviation between the actual writing speed and the standard rhythm duration. The preset deviation thresholds are coordinate deviation ≤ 2mm and speed deviation ≤ 30%. When the deviation exceeds the threshold, it is marked as a problem point. The intelligent guidance module uses a multimodal feedback generation algorithm to generate guidance feedback that combines text and graphics based on deviation results. At the same time, it combines historical deviation data in the data storage module and uses a personalized recommendation algorithm to generate personalized practice plans. The personalized recommendation algorithm increases the amount of practice for corresponding types of Chinese characters by statistically analyzing the block, vein, spacing, and rhythm types of high-frequency deviations in historical data based on the frequency of deviation types and the distribution characteristics of deviation values. The data storage module is used to record writing deviation data, including deviation type, deviation value, number of practice sessions, and feedback viewing time, providing data support for the personalized recommendation algorithm of the intelligent guidance module.
2. The writing teaching system based on deconstruction of Chinese characters according to claim 1, characterized in that: The writing acquisition device is a digital tablet or capacitive screen with a pressure sensing accuracy of ≥2048 levels, and the display device has a resolution of ≥1920×1200 and a size of ≥10.1 inches.
3. The writing teaching system based on deconstruction of Chinese characters according to claim 1, characterized in that: The block types of the Chinese character deconstruction module include open-mouth, closed-mouth, and misaligned shapes. The classification algorithm based on the structural features of Chinese characters is preset as follows: open-mouth shapes correspond to all Chinese characters with top-bottom structures and most Chinese characters with left-right structures; closed-mouth shapes correspond to some Chinese characters with left-right structures; and misaligned shapes correspond to Chinese characters with equal block structures. The alignment lines include the horizontal baseline when the characters are leveled horizontally and the vertical baseline when the characters are aligned vertically. The generation logic is preset by the classification algorithm based on the structural features of Chinese characters according to the structural types of Chinese characters: left-right, top-bottom, and enclosing structures.
4. The writing teaching system based on deconstruction of Chinese characters according to claim 1, characterized in that: In the difference algorithm of the data comparison module, the coordinate deviation is calculated by the coordinate difference algorithm to calculate the difference between the stroke trajectory and the standard block coordinates, that is, |actual sampling point coordinates - standard coordinates|; the speed deviation is calculated by the duration ratio algorithm to calculate the ratio of the actual writing speed to the standard rhythm duration, that is, |actual writing duration - standard rhythm duration| / standard rhythm duration; when the deviation exceeds the threshold, it is marked as a problem point.
5. The writing teaching system based on deconstruction of Chinese characters according to claim 1, characterized in that: The data storage module uses both local and cloud storage. The local storage stores data for the past 30 days, allowing the personalized recommendation algorithm to quickly access recent deviation data. The cloud storage stores historical data, allowing the personalized recommendation algorithm to analyze long-term deviation patterns. It supports exporting data in Excel or PDF formats.
6. The writing teaching system based on deconstruction of Chinese characters according to claim 1, characterized in that: The multimodal feedback generation algorithm of the intelligent guidance module automatically matches the graphic feedback form according to the deviation type: for the deviation of the vein alignment, the baseline is highlighted; for the deviation of the white space, the white space area is highlighted; and for the deviation of the block position, the block boundary is highlighted. The text feedback content is automatically generated by the multimodal feedback generation algorithm in combination with the deviation value, including the deviation type, adjustment direction and adjustment range.