Touch Gesture Recognition via Bounding Box Diagonal Length

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Solution Overview

Problem

Existing touch screens and pads are limited to single-touch interactions, requiring costly and resource-intensive multi-touch gesture recognition systems that are complex and difficult to implement, often necessitating modifications to OS and application programs.

Innovation Solution

A touch gesture recognition apparatus that defines a bounding box around a touch location to recognize gestures based on the diagonal line length and its variations, allowing for efficient differentiation between single-touch and multi-touch gestures without requiring significant computational resources or OS modifications, by mapping recognized gestures to user input events.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Measurement precision

If complicated image processing technology is used to recognize multi-touch gestures, then gesture recognition accuracy is improved, but computational cost and device complexity increase significantly

Engineering Contradiction:
Improvegesture recognition accuracyVSAvoidcomputational cost
Core Design Contradiction:
Measurement precisionVSDevice complexity

Solution Approach 1:

The patent extracts only the essential geometric features (bounding box diagonal length) from touch data, discarding the need for complex image processing. This selective extraction maintains gesture recognition accuracy while dramatically reducing computational requirements.

Inventive Principle:
Principle #2Taking out (Extraction)

Solution Approach 2:

The patent changes the measurement parameter from complex image data to a simple diagonal length parameter. By measuring only the diagonal length of the bounding box and comparing it against thresholds, the system achieves accurate gesture recognition with minimal computation.

Inventive Principle:
Principle #35Parameter changes

2Adaptability or versatility

If multi-touch gesture recognition is implemented, then user interface functionality is improved, but space requirements and manufacturing cost increase

Engineering Contradiction:
Improveuser interface functionalityVSAvoidmanufacturing cost
Core Design Contradiction:
Adaptability or versatilityVSEase of manufacture

Solution Approach 1:

The patent creates a universal gesture recognition method that works with existing single-touch hardware. The same diagonal length measurement approach handles both single-touch and multi-touch gestures, making the system multi-functional without requiring specialized multi-touch sensors or expensive hardware modifications.

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

3Adaptability or versatility

If existing system OS or application programs are modified to support multi-touch interaction, then gesture recognition capability is improved, but system complexity and development difficulty increase

Engineering Contradiction:
Improvegesture recognition capabilityVSAvoidsystem modification requirement
Core Design Contradiction:
Adaptability or versatilityVSDevice complexity

Solution Approach 1:

The patent copies the simplicity of single-touch processing to multi-touch scenarios by using the same diagonal length measurement and threshold comparison methodology. This allows existing single-touch OS and applications to handle multi-touch gestures without modification, as the underlying recognition mechanism remains identical.

Inventive Principle:
Principle #26Copying

Data Source

PatentUS9218121B2Apparatus and method recognizing touch gesture
Publication Date: 2015.12.22 SAMSUNG ELECTRONICS CO LTD
  • US9218121B2 patent drawing
  • US9218121B2 patent drawing
  • US9218121B2 patent drawing

AI summary

Disclosed are a touch gesture recognition apparatus and method that can be, or applied to, both a single-touch system and a multi-touch system. The touch gesture recognition method recognizes touch gestures using the diagonal-line length of a bounding box created based on touch location information and variations in the diagonal-line length. After a gesture is recognized, the recognized gesture is mapped to an input event of a user input device and feedback according to the input event is provided.