Single Frequency Detector Signal Processing for Vibration and Voice Inputs
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Solution Overview
Problem
Existing electronic devices require separate vibration and acoustic sensors to detect user inputs, leading to increased complexity, cost, and power consumption in signal processing.
Innovation Solution
A signal processing apparatus and method that uses a frequency detector to receive and differentiate between vibration and user voice inputs by detecting frequency bands, allowing a single sensor to identify various types of user inputs efficiently.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If separate vibration and acoustic sensors are used to detect user inputs, then detection accuracy is improved, but device complexity and processing cost increase
Solution Approach 1:
The patent applies universality by designing a single sensor that can detect both vibration inputs and acoustic inputs across different frequency bands. The sensor is configured to sense a broad frequency range, allowing it to function as both a vibration sensor and an acoustic sensor, thereby reducing device complexity while maintaining detection accuracy for multiple input types
Solution Approach 2:
The patent utilizes parameter changes by analyzing the frequency characteristics of the sensor output to differentiate between vibration and acoustic inputs. By monitoring frequency band parameters and temporal characteristics, the system can identify the type of user input without requiring separate sensors, thus reducing complexity while preserving detection precision
2Reliability
If separate vibration and acoustic sensors are used, then detection capability is improved, but power consumption increases
Solution Approach 1:
The patent reduces power consumption by employing a single sensor to perform multiple detection functions. Instead of powering separate vibration and acoustic sensors simultaneously, the system uses one sensor's output across different frequency bands to detect both types of inputs, thereby maintaining detection capability while significantly lowering overall power consumption
Solution Approach 2:
The system applies partial action by selectively processing only the relevant frequency bands based on the detected input type. When a vibration input is detected in a specific frequency band, the system focuses processing resources on that band, avoiding unnecessary processing of other bands and thus reducing power consumption while maintaining reliable detection
3Measurement precision
If individual sensors process both vibration and voice inputs, then processing complexity increases, but input differentiation becomes more accurate
Solution Approach 1:
The patent simplifies processing complexity by leveraging parameter changes in the frequency domain. The single sensor's output is analyzed for frequency band characteristics, where vibration inputs typically occupy lower frequency bands and acoustic inputs occupy higher frequency bands. This frequency-based parameter analysis enables accurate input differentiation with simpler processing compared to coordinating multiple sensors
Solution Approach 2:
The patent introduces frequency band analysis as an intermediary mechanism between the single sensor and the input type classification. By using frequency bands as an intermediate parameter space, the system can accurately differentiate between vibration and acoustic inputs without requiring complex multi-sensor coordination algorithms, thus reducing processing complexity while maintaining differentiation accuracy
4Measurement precision
If multiple sensors are used to sense different user inputs, then sensing accuracy is improved, but device miniaturization becomes difficult
Solution Approach 1:
The patent enables device miniaturization by replacing multiple sensors with a single multi-functional sensor. The sensor is designed to sense a broad frequency range, allowing it to detect both vibration and acoustic inputs in one compact component, thereby maintaining sensing accuracy for multiple input types while significantly reducing the device's overall size and component count
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
Reduces processing complexity and power consumption while enabling efficient differentiation of vibration and voice inputs, facilitating device miniaturization and user authentication.
Implementation Method 1
vibrate in response to the received user input; and detect a frequency of the user input, based on the vibration
Data Source
AI summary
A signal processing apparatus includes a frequency detector configured to receive a user input including at least one of a vibration input and a user voice, vibrate in response to the received user input, and detect a frequency of the received user input, based on the vibration, and a processor configured to determine a type of the user input received by the frequency detector, based on the frequency detected by the frequency detector, and perform a function corresponding to the user input of the determined type.