Voice Recognition Mode Switching via Gravity Sensor
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current voice recognition technologies in mobile terminals either require users to manually initiate voice recognition, limiting hand-free operation, or consume excessive battery power with continuous voice wake-up monitoring.
Innovation Solution
Adaptive switching of voice recognition modes based on the inclination angle of the mobile terminal, using a gravity sensor to toggle between common and voice wake-up modes, allowing voice recognition only when needed and reducing power consumption.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If voice wake-up technology is used to enable hands-free operation, then ease of operation is improved, but power consumption increases
Solution Approach 1:
The patent dynamically adjusts the voice recognition mode based on the terminal's posture detected by the gravity sensor. When the terminal is in a pocket posture (detected via inclination angle), the system switches to a lower-power mode that does not continuously monitor for wake-up commands. When the terminal is in a usable posture, it switches to voice wake-up mode. This dynamic switching resolves the contradiction by adapting the power consumption level to the actual operational context.
Solution Approach 2:
The system changes the operational parameters of the voice recognition function based on detected posture conditions. Specifically, it changes the monitoring state parameter: from continuous monitoring in voice wake-up mode to periodic or event-triggered monitoring in pocket mode. This parameter change allows the system to maintain hands-free capability when needed while reducing power consumption when the terminal is not in use.
2Ease of operation
If the terminal continuously monitors voice wake-up instructions, then ease of operation is improved, but loss of energy increases
Solution Approach 1:
Instead of continuous monitoring, the system implements periodic posture detection using the gravity sensor and switches monitoring intensity accordingly. In pocket mode, the system performs periodic posture checks rather than continuous voice monitoring. This periodic action reduces energy loss while maintaining the ability to activate voice wake-up when the terminal is in a usable position.
Solution Approach 2:
The patent extracts the continuous voice monitoring function from the system when the terminal is detected to be in a pocket posture. By separating the monitoring function based on posture context, the system eliminates unnecessary energy consumption while preserving the voice wake-up capability when needed.
3Use of energy by moving object
If manual key press is required to start voice recognition, then power consumption is reduced, but ease of operation deteriorates
Solution Approach 1:
The system implements multiple voice recognition modes that serve different operational contexts: voice wake-up mode for when the terminal is in use, and manual activation mode for when the terminal is in a pocket. The gravity sensor-based posture detection adds a new function that automatically determines which mode to use, making the system universally adaptable to different usage scenarios without requiring user intervention.
Solution Approach 2:
The system uses the built-in gravity sensor to automatically detect terminal posture and self-determine the appropriate voice recognition mode without requiring user input. This self-service mechanism resolves the contradiction by automatically providing hands-free operation when appropriate while conserving power when the terminal is not in use, eliminating the need for manual mode switching.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
Maximizes hand-free operation while significantly reducing power consumption by dynamically switching between voice recognition modes based on user interaction, optimizing battery life.
Implementation Method 1
a gravity sensor in the mobile terminal detects that a change of the attitude parameter of the mobile terminal body
Data Source
Figure 1~2
Figure 3
AI summary
The embodiment of the present invention provides a method for realizing a voice recognition function, including: setting a corresponding relationship between the attitude parameter of a mobile terminal body and a voice recognition mode (S10); if a gravity sensor in the mobile terminal detects that a change of the attitude parameter of the mobile terminal body satisfies a condition of switching the voice recognition mode, then switching the voice recognition mode, and performing voice recognition under the switched voice recognition mode (S20). Through self-adaptively switching the voice recognition mode of the mobile terminal, the voice recognition function of the mobile terminal can be made to free the hands of a user to the greatest extent and save power consumption. An apparatus for realizing the voice recognition function corresponding to the method is also disclosed.