Voice Recognition Auto-Activation via Sensor Context
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
User devices with voice recognition functions require manual activation/deactivation through menus, which is inconvenient, and there is a need to automatically determine suitable conditions for voice recognition activation based on sensor inputs.
Innovation Solution
An electronic device with sensors (grip, proximity, inertial, etc.) that detect user interactions to automatically activate or inactivate voice recognition during application usage, using a detection module and control module to manage voice recognition based on sensor inputs.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If voice recognition function is manually activated through menu selection, then the function can be controlled, but user convenience deteriorates due to the additional operation steps required
Solution Approach 1:
The system performs preliminary detection of user conditions (hand-free state, driving state, meeting state) through sensors before the user needs to activate voice recognition. This allows the system to proactively determine when voice recognition should be activated, eliminating the need for manual menu selection at the moment of need.
Solution Approach 2:
The system automatically manages voice recognition activation and deactivation based on sensor inputs and user context without requiring manual intervention. The system serves itself by autonomously determining appropriate conditions for voice recognition and executing the activation/deactivation accordingly.
2Speed
If voice recognition is continuously activated, then responsiveness is improved, but energy consumption increases
Solution Approach 1:
The voice recognition function dynamically transitions between active and inactive states based on real-time sensor data and user context. Rather than being continuously on or permanently off, the system adapts its state according to detected conditions such as hand-free usage, driving, or meeting scenarios, optimizing both responsiveness and energy efficiency.
Solution Approach 2:
The system changes the operational parameter of voice recognition (active/inactive state) based on detected user conditions and context. This parameter switching allows the system to maintain responsiveness when needed while conserving energy during inappropriate conditions.
3Ease of operation
If voice recognition is automatically activated based on sensor inputs, then user convenience is improved, but system complexity increases
Solution Approach 1:
The system uses existing sensors (accelerometer, gyroscope, proximity sensor, microphone) that serve multiple functions within the device. These sensors are already integrated for other purposes (motion detection, proximity awareness, audio input), and the patent leverages their existing capabilities for voice recognition context detection, avoiding the need for dedicated additional hardware.
Solution Approach 2:
The system employs a context determination module that acts as an intermediary, processing sensor inputs and translating them into decisions about voice recognition activation. This mediator layer simplifies the complexity by providing a structured approach to interpreting sensor data and determining appropriate voice recognition states.
Data Source
AI summary
A user device having a voice recognition function and an operation method thereof are provided. The operation method includes detecting whether there is an input from at least one sensor in response to execution of an application which may use voice recognition and activating or inactivating the voice recognition in response to the detection of the input.