Adaptive Handwriting Recognition for Shared Devices

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Solution Overview

Problem

Electronic devices struggle to individually identify users when multiple users share the same device for handwriting input, leading to difficulties in completing handwriting inputs and requiring separate authentication, especially when a new user takes over during an ongoing input session.

Innovation Solution

An adaptive handwriting generation method and apparatus that detect handwriting features, compare them with stored data, and adjust subsequent inputs to match the style of either an existing or new user, using a processor to control the display and determine whether the input is from an existing or new user based on style clustering and profiling.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Measurement precision

If separate user authentication is required for each user, then user identification accuracy is improved, but device complexity and operation time increase

Engineering Contradiction:

Improveuser identification accuracyVSAvoidauthentication system complexity

Core Design Contradiction:

Measurement precisionVSDevice complexity

Solution Approach 1:

The system performs automatic user identification by analyzing handwriting features without requiring users to manually authenticate. The electronic device independently detects handwriting characteristics, compares them with stored data, and identifies the user automatically, eliminating the need for separate authentication steps while maintaining identification accuracy

Inventive Principle:

Principle #25Self-service

Solution Approach 2:

The patent replaces manual authentication mechanisms with automated handwriting analysis. Instead of requiring users to consciously authenticate through passwords or biometric scans, the system passively captures and analyzes handwriting features during natural writing actions, substituting mechanical authentication with automated feature detection and comparison

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

2Measurement precision

If separate user authentication is required for each user, then user identification accuracy is improved, but operation time increases

Engineering Contradiction:

Improveuser identification accuracyVSAvoidauthentication time

Core Design Contradiction:

Measurement precisionVSLoss of time

Solution Approach 1:

The system pre-stores handwriting feature data for multiple users before authentication is needed. When a handwriting input occurs, the system immediately compares the input against pre-existing user profiles, enabling rapid identification without requiring time-consuming authentication steps during the actual writing process

Inventive Principle:

Principle #10Preliminary action

Solution Approach 2:

The automatic handwriting analysis system performs user identification in the background during natural writing actions, eliminating the need for users to pause and perform separate authentication steps. The identification process occurs seamlessly as part of the writing workflow, reducing time loss

Inventive Principle:

Principle #25Self-service

3Device complexity

If handwriting input style is not adapted to new users, then system simplicity is maintained, but recognition accuracy deteriorates

Engineering Contradiction:

Improvesystem simplicityVSAvoidhandwriting recognition accuracy

Core Design Contradiction:

Device complexityVSMeasurement precision

Solution Approach 1:

The system dynamically adapts to new users by detecting their handwriting features and automatically adjusting the recognition model. When a new user's handwriting pattern is detected, the system updates its stored feature data to match the new user's style, enabling accurate recognition without requiring manual reconfiguration or complex preset configurations

Inventive Principle:

Principle #15Dynamics

Solution Approach 2:

The system continuously monitors handwriting inputs and uses the results to refine its user profiles. By comparing incoming handwriting features with stored data and adjusting based on the results, the system learns and adapts to each user's unique style over time, improving recognition accuracy while maintaining operational simplicity

Inventive Principle:

Principle #23Feedback

4Ease of operation

If the system does not identify the current user, then operation simplicity is maintained, but handwriting input completion becomes difficult

Engineering Contradiction:

Improveoperation simplicityVSAvoidhandwriting input completion

Core Design Contradiction:

Ease of operationVSReliability

Solution Approach 1:

The system automatically identifies the current user through handwriting analysis without requiring manual intervention. This self-identifying capability maintains operation simplicity while ensuring reliability, as the system can accurately determine which user is writing and appropriately complete or transfer handwriting inputs based on the identified user's profile

Inventive Principle:

Principle #25Self-service

Data Source

PatentUS11847401B2Method and apparatus for recognizing handwriting inputs in multiple-user environment

Publication Date: 2023.12.19 SAMSUNG ELECTRONICS CO LTD

AI summary

A method and apparatus for adaptively displaying a handwriting input on an electronic device are provided. The method includes receiving a handwriting input from an electronic device, detecting handwriting features in the handwriting input and comparing the handwriting features with stored handwriting feature data, determining, according to a result of the comparing, whether a subject of the handwriting input is an existing user or a new user, and displaying, according to the determination, a subsequent handwriting input by the subject of the handwriting input to match a target handwriting input style.