Dynamic Text Selection via Gesture Recognition for Contact Operations

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Solution Overview

Problem

Current portable electronic devices face difficulties in efficiently selecting and acting upon random text displayed on the screen, such as contacting individuals or performing searches, due to cumbersome processes and limitations in existing software solutions like gestureCall and U.S. Pat. No. 7,788,245 B1, which require pre-configured settings or full document analysis.

Innovation Solution

A method and apparatus that allow users to select characters on a screen and invoke operations like calls, emails, or searches through touch or voice commands by configuring applications with specific gestures or commands, enabling direct execution of functions associated with the selected text without requiring pre-recognized keywords or extensive analysis.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Ease of operation

If gestureCall software is used to call a person whose name is displayed on the screen, then the calling function can be invoked, but the user must remember different drawings assigned to each contact point which becomes infeasible when the number of contacts is large

Engineering Contradiction:
Improveease of invoking operationVSAvoidcomplexity of gesture configuration
Core Design Contradiction:
Ease of operationVSDevice complexity

Solution Approach 1:

The patent applies universality by enabling a single gesture pattern (e.g., circling motion) to serve multiple functions: selecting text, identifying contact names, and invoking operations. Instead of requiring different drawings for each contact, the system uses one universal gesture mechanism that works across all contacts and text selections, thereby reducing the complexity of gesture configuration while maintaining ease of operation.

Inventive Principle:
Principle #6Universality (Multi-functionality)

Solution Approach 2:

The system applies self-service by automatically analyzing the selected text to identify contact information and determine the appropriate operation to invoke. Rather than requiring the user to manually configure gestures for each contact, the system autonomously processes the text, identifies names, and presents relevant contacts, allowing the user to simply perform the gesture without needing to remember specific configurations.

Inventive Principle:
Principle #25Self-service

2Adaptability or versatility

If gestureCall software is used to select random text and invoke operations, then text selection capability is provided, but the software does not provide capability of selecting random text to find contact point and invoke operation

Engineering Contradiction:
Improveversatility of text selectionVSAvoidcomplexity of text analysis
Core Design Contradiction:
Adaptability or versatilityVSDevice complexity

Solution Approach 1:

The patent introduces an intermediary text analysis mechanism that bridges the gap between random text selection and contact identification. When the user performs a gesture on any text, the system analyzes the selected text to determine if it contains contact information, names, or other actionable content. This intermediary analysis layer enables versatile text selection while managing the complexity of text processing through automated pattern recognition and context analysis.

Inventive Principle:
Principle #24Intermediary (Mediator)

3Productivity

If Eddings mechanism is used to embed search links, then search functionality is provided, but full analysis of the document is required each time a new electronic text is opened which is time-consuming

Engineering Contradiction:
Improvespeed of search executionVSAvoidtime for document analysis
Core Design Contradiction:
ProductivityVSLoss of time

Solution Approach 1:

The patent applies partial action by performing text analysis only on the specific portion of text that the user has selected through gesture, rather than analyzing the entire document. When a user circles or gestures on a specific text segment, the system analyzes only that selected portion to identify contact information or search terms, significantly reducing the time required compared to full document analysis while maintaining accurate search execution.

Inventive Principle:
Principle #16Partial or excessive action

4Measurement precision

If Enns process is used to identify telephone number, then phone number identification is provided, but the process does not consider full name or part of name appearing in electronic text and associate with contact

Engineering Contradiction:
Improveprecision of phone number identificationVSAvoidversatility of text recognition
Core Design Contradiction:
Measurement precisionVSAdaptability or versatility

Solution Approach 1:

The patent extends the functionality of text recognition beyond just phone number identification to include full names, partial names, and other contact-related information. The gesture-based selection mechanism works universally across different types of text content, enabling the system to identify and associate various forms of contact information with stored contacts, thereby increasing versatility while maintaining precision through user-initiated gesture selection.

Inventive Principle:
Principle #6Universality (Multi-functionality)

Data Source

PatentUS9965171B2Dynamic application association with hand-written pattern
Publication Date: 2018.05.08 SAMSUNG ELECTRONICS CO LTD
  • US9965171B2 patent drawing
  • US9965171B2 patent drawing
  • US9965171B2 patent drawing

AI summary

An apparatus and a method for performing an application in response to a command are provided. The apparatus includes a display device configured to display text on the apparatus, an input unit configured to select the displayed text, and a controller configured to execute an application associated with the selected text in response to the command entered into the input unit.