Swipe Gesture Text Correction for Voice Input Errors
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Solution Overview
Problem
Conventional speech-to-text systems in noisy environments or when speaking near others often misinterpret voice inputs due to ambient noise, leading to incorrect text entries, necessitating a simple and low-distracting correction method.
Innovation Solution
An electronic device equipped with both speech recognition and gesture recognition modules that allows users to correct errors through contactless swipe gestures, where the device highlights and substitutes textual words along a gesture path, enabling users to correct mistakes without excessive interaction.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If speech-to-text is used in noisy environments, then text input efficiency is improved, but text accuracy deteriorates due to misinterpretation of spoken words
Solution Approach 1:
The patent replaces traditional mechanical text input methods (typing) with speech-to-text conversion for efficient input, while substituting the flawed speech recognition correction mechanism with gesture-based selection. The gesture recognition system uses motion detection instead of voice commands to navigate and select words, avoiding the noise interference that plagues speech-to-text systems.
Solution Approach 2:
The patent introduces gesture recognition as an intermediary mechanism between the user and the text correction process. Instead of directly using speech commands to correct text (which fails in noisy environments), the system uses gestures as a middle ground - a more reliable input method in noisy settings that still enables efficient text correction without requiring the user to manually type each character.
2Measurement precision
If traditional text correction methods are used, then text accuracy is improved, but user interaction complexity increases leading to excessive distraction
Solution Approach 1:
The patent replaces complex manual text correction operations (typing, multiple menu selections, or detailed editing gestures) with a simplified swipe-based gesture system. A single swipe gesture highlights a word, and a subsequent swipe selects it for replacement, reducing the interaction sequence from multiple complex steps to just two simple motions.
Solution Approach 2:
The patent implements partial action by allowing users to swipe only far enough to highlight the intended word without requiring precise stopping points. The system automatically identifies the target word based on the swipe direction and distance, eliminating the need for exact precision in gesture execution and reducing cognitive load.
3Ease of operation
If contactless gesture recognition is implemented, then hygiene and ease of operation are improved, but device complexity increases
Solution Approach 1:
The patent merges the speech recognition module and gesture recognition module into a unified text correction system. Both input methods share common processing infrastructure, including the same display interface for showing highlighted words and the same replacement mechanism. This integration reduces overall system complexity compared to implementing separate, independent correction systems for each input method.
Data Source
AI summary
An electronic device for managing voice entered text using gesturing comprises a housing, display, power source, speech recognition module, gesture recognition module, and processor. A first speech input is detected, and textual words are displayed. One or more swipe gestures are detected, and a direction of the swipe gesture(s) is determined. Each textual word is highlighted one-by-one along a path of the direction of the swipe gesture(s) highlighting for each swipe gesture. For one embodiment, a second speech input may be detected and a highlighted textual word may be substituted with a second textual word. For another embodiment, a type of the swipe gesture(s) may be determined. A textual word adjacent to a currently highlighted word may be highlighted next for the first type, and a textual word non-adjacent to the currently highlighted word may be highlighted next for the second type.