Breath-Wakeup Voice Input for One-Hand Text Entry
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Solution Overview
Problem
Current voice-to-text conversion methods require users to manually press or tap a voice input button for an extended period, which is inconvenient, especially in one-hand operation scenarios, and do not allow for natural and smooth interaction.
Innovation Solution
Implementing a breath wakeup function that enables voice-to-text conversion by detecting user movements and breath, allowing voice input without the need for manual button pressing, and seamlessly switching priorities between applications.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If a voice-to-text conversion button needs to be long-pressed on an input method panel, then voice-to-text conversion can be completed, but the operation becomes inconvenient especially in one-hand operation scenarios
Solution Approach 1:
The system uses the device's own sensors (acceleration sensor, microphone) to automatically detect user actions and trigger voice input without requiring manual button pressing. The device serves itself by interpreting natural movements and breath as input commands, eliminating the need for users to manually activate the voice-to-text function.
Solution Approach 2:
The patent replaces the mechanical button-pressing system with a sensor-based detection system. Instead of requiring physical contact with a button, the system uses acceleration sensors to detect device movement and microphones to detect breath, substituting the mechanical interaction with automated sensor-based recognition.
2Adaptability or versatility
If the input method panel is popped up during one-hand operation, then text input is available, but the user cannot conveniently press the voice-to-text conversion button
Solution Approach 1:
The system dynamically adapts to the user's operational context by detecting device movement patterns. When the device is moved in a specific manner (indicating one-hand operation), the system automatically activates voice input mode, making the interface adaptable to different usage scenarios without requiring manual configuration.
Solution Approach 2:
The system changes the activation parameters for voice input based on detected user behavior. Instead of requiring a static button press, the system accepts dynamic movements and breath patterns as valid triggers, adjusting the input mechanism to match the user's natural actions in one-hand operation scenarios.
Data Source
AI summary
This application provides a voice-to-text conversion method, an electronic device, and a readable storage medium, and belongs to the field of electronic technologies. The method includes: displaying an input box in a first interface of a first application in response to a first operation; in response to the display of the input box, setting a second application to which the input box belongs to have a highest priority for using the breath wakeup function, where the breath wakeup function triggers the second application with the highest priority to continuously receive voice data when a user moves the electronic device and receives breath of the user; in response to the user moving the electronic device and the breath of the user being detected, continuously receiving, by the second application of the electronic device, the voice data and converting the voice data to text.