Audio Signal Hand Covering Gesture Detection
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing methods for user interaction with electronic devices require dedicated sensors for detecting hand-covering gestures, which limits their effectiveness in various ambient environments.
Innovation Solution
An electronic device equipped with a speaker, microphone, and processor analyzes audio signals to detect hand-covering gestures without additional sensors, using predefined audio patterns and machine learning algorithms to differentiate between ambient conditions and identify hand-covering inputs based on waveform, magnitude, and signal strength changes.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If additional dedicated sensors are used to detect hand-covering gestures, then detection accuracy is improved, but device complexity and cost increase
Solution Approach 1:
The patent makes the speaker and microphone serve dual functions: audio output/input and hand-covering gesture detection. The speaker emits test signals while the microphone captures both ambient sound and hand-covering gestures, eliminating the need for dedicated sensors and reducing device complexity while maintaining detection capability
Solution Approach 2:
The device uses its own built-in audio components (speaker and microphone) to perform the detection function that would otherwise require external sensors. The speaker generates test signals and the microphone captures the resulting acoustic changes, allowing the device to self-diagnose hand-covering gestures without additional hardware
2Device complexity
If audio signal analysis is used to detect hand-covering gestures without additional sensors, then device complexity is reduced, but detection accuracy in varying ambient environments deteriorates
Solution Approach 1:
The patent dynamically adjusts the threshold value for detecting hand-covering gestures based on ambient environment analysis. The processor compares the test signal with the captured signal and modifies the threshold parameter according to environmental conditions (such as ambient noise levels), thereby maintaining high detection accuracy across different settings while using only built-in audio components
Solution Approach 2:
The system continuously monitors the audio signal captured by the microphone and compares it with the originally emitted test signal from the speaker. This feedback mechanism allows the processor to distinguish between ambient environmental changes and actual hand-covering gestures by analyzing the differences and adjustments in the returned signal, maintaining accuracy without additional sensors
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 accurate detection of hand-covering gestures in any ambient environment without additional sensors, enhancing user interaction and reducing hardware requirements.
Implementation Method 1
output at regular intervals a sound based on a first audio signal of a predefined pattern configured to detect hand covering via the speaker
Implementation Method 2
acquire a second audio signal from the sound via the microphone
Data Source
Figure 1
Figure 2
Figure 3A
AI summary
Various embodiments of the present disclosure may provide an electronic device for detecting an input. The electronic device according to various embodiments of the present disclosure may comprise: a speaker; a microphone; and a processor coupled to the speaker and the microphone. The processor may be configured to output a sound through the speaker on the basis of a first audio signal; obtain a second audio signal from the sound through the microphone; detect an input on the basis of a result of comparison between the first audio signal and the inputted second audio signal; and perform an operation according to the input.