Electronic Device Stroke Shape Recognition
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Solution Overview
Problem
Conventional electronic devices require a separate menu selection for shape recognition, which is inconvenient and fails to accurately represent the recognized shape using the current pen drawing options.
Innovation Solution
An electronic device with a processor and memory that displays first stroke data, performs shape recognition based on the size and distance of the stroke trajectory, and converts the data into second stroke data corresponding to a recognized shape form, displaying it with the user's current pen drawing options.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If a separate menu selection is used for shape recognition, then the shape recognition function can be deployed, but the operation becomes inconvenient and requires additional user actions
Solution Approach 1:
The system automatically detects and analyzes stroke trajectories without requiring users to manually activate the shape recognition function through menu selection. The processor continuously monitors touch inputs and autonomously performs shape recognition when stroke patterns are detected, allowing the system to serve itself rather than requiring explicit user commands for each recognition task.
Solution Approach 2:
The system pre-configures the shape recognition function to be automatically activated upon detecting stroke trajectories, eliminating the need for users to navigate menus beforehand. By preparing the recognition mechanism in advance and triggering it automatically based on input patterns, the system removes the preliminary menu selection step while maintaining reliable shape recognition capability.
2Reliability
If conventional shape recognition displays recognized shapes with designated thickness and color, then shape recognition can be performed, but the current pen drawing options are not preserved
Solution Approach 1:
The system dynamically adjusts the display parameters of recognized shapes based on the currently active pen drawing options. Instead of using fixed designated thickness and color, the processor retrieves the user's current pen settings (thickness, color, brush style) and applies these parameters to the displayed recognized shape, thereby adapting the output to match the user's intended drawing style while maintaining accurate shape recognition.
Solution Approach 2:
The shape recognition system is designed to work universally with any pen drawing option the user has selected. Rather than being limited to predefined display parameters, the system accommodates multiple pen configurations (different thicknesses, colors, brush types) and applies the appropriate ones to recognized shapes, making the recognition function versatile and consistent with the user's overall drawing context.
3Ease of operation
If shape recognition is performed automatically during writing, then user convenience is improved, but the system complexity increases
Solution Approach 1:
The patent replaces complex mechanical or rule-based stroke analysis systems with a neural network-based automated recognition system. The neural network processor automatically analyzes stroke trajectories, identifies shapes, and retrieves corresponding writing contents without requiring complex manual configuration or multiple processing modules, thereby reducing overall system complexity while enabling natural automatic shape recognition during writing.
Solution Approach 2:
The system introduces a neural network as an intermediary component that simplifies the interaction between the touch input system and the shape recognition functionality. This neural network mediator automatically processes stroke data, performs pattern recognition, and retrieves writing contents, eliminating the need for complex direct processing logic and reducing system complexity while enabling seamless automatic shape recognition.
Data Source
AI summary
According to an embodiment, an electronic device may include a display, a memory, and at least one processor operatively coupled to the display and the memory. The memory stores instructions that are configured to, when executed, enable the at least one processor to display first stroke data of a first stroke trajectory, based on an input of a first touch-move after a first touch-down on the display, perform shape recognition on the first stroke trajectory, based on a size of the first stroke trajectory and a distance between a stroke start point of the first stroke trajectory and another point on the first stroke trajectory, convert the first stroke data into second stroke data corresponding to a recognized shape form, based on the shape recognition, and display the second stroke data on the display. Various other embodiments may be possible.