Microphone Touch Input Recognition via Audio Analysis
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Solution Overview
Problem
Current robots require additional sensors for touch input recognition, increasing manufacturing and maintenance costs, and there is a need to recognize both speech and touch inputs simultaneously without adding extra sensors beyond the microphone for voice recognition.
Innovation Solution
An electronic device equipped with multiple microphones and a controller that can determine touch input characteristics such as location, pattern, strength, and duration through audio analysis, allowing for operation based on these inputs and enabling voice recognition without additional sensors.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If additional sensors are added for touch input recognition, then touch input recognition capability is improved, but manufacturing costs and maintenance costs increase
Solution Approach 1:
The microphone is designed to perform multiple functions: both voice recognition and touch input recognition. By analyzing different audio characteristics (continuous sound patterns for voice vs. impulsive sound patterns for touch), the single microphone component serves dual purposes, eliminating the need for separate touch sensors and reducing manufacturing costs while maintaining versatility
2Adaptability or versatility
If additional sensors are added for touch input recognition, then touch input recognition capability is improved, but maintenance costs increase
Solution Approach 1:
The microphone serves as a universal sensor for both voice and touch inputs, reducing the total number of components that require maintenance. The controller is programmed to differentiate between voice and touch inputs through audio pattern analysis, eliminating the need for separate touch sensor maintenance while maintaining full functionality
3Adaptability or versatility
If audio analysis is used to determine touch input characteristics, then touch input recognition is enabled without additional sensors, but processing complexity increases
Solution Approach 1:
The patent replaces complex mechanical touch sensing systems with acoustic field analysis. By substituting physical touch sensors with audio-based detection, the system achieves touch recognition functionality while reducing mechanical complexity. The controller processes audio signals to extract touch characteristics, transforming a mechanical sensing problem into an acoustic signal processing problem that can be solved with existing microphone technology
4Ease of manufacture
If the microphone is used for both touch input and speech input, then hardware costs are reduced, but it becomes difficult to distinguish between touch audio and speech audio
Solution Approach 1:
The system dynamically adjusts its analysis approach based on the detected audio pattern characteristics. For touch inputs, it analyzes impulsive sound patterns with specific temporal and frequency characteristics, while for speech inputs, it processes continuous audio streams with different patterns. This dynamic differentiation allows accurate distinction between touch and speech inputs using the same microphone hardware
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
Enables the recognition of touch inputs and voice commands using a single microphone setup, reducing hardware costs and enhancing interaction capabilities in intimate spaces like homes without the need for separate touch sensors.
Implementation Method 1
a microphone within proximity of the fabricated surface to analyze and associate the acoustical sound signature
Implementation Method 2
analyze and associate the acoustical sound signature with a user interface control
Data Source
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AI summary
An electronic device including a plurality of the microphones and operating method thereof are disclosed. The present invention includes obtaining an audio according to a touch input of touching at least one of a plurality of the microphones, determining at least one selected from the group consisting of a location, a touch pattern, a touch strength, a touch duration time and a touch periodicity of the touch input based on the obtained audio, and performing an operation corresponding to the touch input based on a result of the determination.