Handwriting Stroke Order Recognition and Feedback System
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Solution Overview
Problem
Conventional techniques for learning to write characters by hand do not effectively convey the correct stroke order, leading to incomplete learning and inability to achieve the intended effect of mastering handwriting.
Innovation Solution
A computer-readable recording medium stores a learning support program that receives handwritten input from a user, recognizes the characters or strokes, judges the stroke order, and provides feedback on the correctness of the stroke order, guiding the user to write characters in the proper sequence.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional pattern recognition is used to check handwritten characters, then character correctness can be determined, but stroke order cannot be properly evaluated
Solution Approach 1:
The patent segments the handwritten character recognition process into two distinct evaluation stages: first recognizing the overall character pattern, then separately analyzing the stroke order by dividing the character into individual stroke components. This segmentation allows both character correctness and stroke order to be evaluated independently without interference.
Solution Approach 2:
The patent introduces an intermediary stroke order analysis module that acts as a mediator between the pattern recognition system and the final evaluation. This intermediary component extracts stroke order information from the recognized character pattern and compares it against standard stroke sequences, enabling stroke order verification without affecting the character recognition accuracy.
2Ease of operation
If only character recognition is performed, then writing correctness can be checked, but learning effectiveness is reduced due to lack of stroke order guidance
Solution Approach 1:
The patent implements a dual-feedback mechanism that provides users with both character correctness feedback and stroke order feedback. The system compares the user's handwritten stroke sequence against the standard stroke order and returns specific guidance on which strokes are out of sequence, enabling users to correct their writing habits and improve learning effectiveness through targeted feedback.
Solution Approach 2:
The patent performs preliminary stroke order analysis during the character recognition process itself, rather than as a separate post-processing step. By integrating stroke order evaluation into the recognition workflow, the system prepares stroke order information in advance, enabling timely feedback to users while they are still in the learning process.
3Reliability
If detailed stroke order analysis is added to character recognition, then learning support is improved, but system complexity increases
Solution Approach 1:
The patent merges the stroke order analysis function with the existing character pattern recognition system by integrating stroke detection and sequencing capabilities into the recognition algorithm. This combining approach allows stroke order evaluation to be performed using the same computational framework as character recognition, reducing the need for separate complex subsystems.
Solution Approach 2:
The patent designs the recognition system to serve multiple functions simultaneously: it recognizes character identity, determines stroke boundaries, sequences stroke orders, and compares against standards all within a single unified processing framework. This multi-functionality reduces overall system complexity by eliminating the need for separate specialized modules for each function.
Data Source
AI summary
A computer-readable recording medium stores therein a learning support program that causes a computer to execute a process including: receiving input of a character that a user is requested to write, the character being handwritten and input by the user; recognizing the input character or strokes of the input character; judging the recognized character or a stroke order of the strokes of the recognized character; and outputting information concerning a result of the judging.