Tap Sound Recognition for Sensor-Free Smart Device Control
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Solution Overview
Problem
Existing methods for controlling smart devices through tapping have application limitations and lack diverse control capabilities due to the need for a piezoelectric sensor in a specific tapping area.
Innovation Solution
A method and apparatus that utilize sound information triggered by tapping actions, processed through a recognition model set, to determine and execute diverse control instructions, including recognition model training and merging processing to enhance device control flexibility.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If a piezoelectric sensor is used to sense tapping actions, then the device can be controlled through tapping, but the sensor must be arranged in a specific area which limits application scenarios and functional diversity
Solution Approach 1:
The patent replaces the mechanical piezoelectric sensor system with an acoustic field-based detection system. The microphone captures sound waves generated by tapping actions, and signal processing algorithms analyze these acoustic signals to detect tapping patterns. This substitution eliminates the need for physical sensor placement and enables tapping control functionality across the entire device surface, significantly improving adaptability while maintaining ease of operation.
2Ease of operation
If a piezoelectric sensor is used for tapping detection, then tapping control is achieved, but additional hardware components are required which increases device complexity
Solution Approach 1:
The patent makes the existing microphone component serve multiple functions: it not only captures voice commands for speech recognition but also detects tapping actions through acoustic signal analysis. By processing different characteristics of the captured sound signals (such as frequency, amplitude, and temporal patterns), the system distinguishes between speech inputs and tapping sounds. This multi-functional use of the microphone eliminates the need for separate tapping sensors, reducing hardware complexity while maintaining full tapping control capability.
3Adaptability or versatility
If sound information is processed through multiple recognition models, then diverse control instructions can be recognized, but processing time and computational resources increase
Solution Approach 1:
The patent segments the sound signal processing into distinct analysis dimensions including time domain features, frequency domain features, and temporal pattern features. Each dimension is processed independently through specialized algorithms that extract specific characteristics relevant to different control instructions. This segmentation allows parallel processing of multiple features simultaneously, reducing overall processing time while maintaining the ability to recognize diverse control instructions through comprehensive feature analysis.
Solution Approach 2:
The patent implements preliminary signal preprocessing steps including noise filtering, amplitude normalization, and feature extraction before the main recognition processing. By preparing the sound signal in advance and extracting key features upfront, the system reduces the computational burden during the actual recognition phase. This preliminary action enables faster processing of multiple recognition models while maintaining high accuracy in diverse control instruction recognition.
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 diverse and flexible control of smart devices without additional hardware, by recognizing sound information from tapping actions for various device operations.
Implementation Method 1
through a microphone component, sound information triggered by the tapping action is acquired
Data Source
AI summary
The present application provides a method and apparatus for controlling a device based on tapping and a storage medium. The method includes: in response to a tapping action from a user, acquiring sound information triggered by the tapping action; performing recognition processing on the sound information according to a preset recognition model set to determine a recognition result of the sound information, where the recognition model set includes at least one recognition model; and controlling the device according to the recognition result. No components needs to be added for the method, application limitations of the method no longer exist, and the diverse control of the device can be realized.