Strike Detection Device Using Peak Level and Waveform Change Analysis
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Solution Overview
Problem
Conventional electronic percussion instruments struggle to accurately detect weak strikes on a striking surface, often misinterpreting them as noise, leading to incomplete tone generation.
Innovation Solution
A striking detection device that uses peak level and degree of change in waveforms to differentiate between strikes and noise, employing thresholds for peak levels and zero-crossing frequencies to improve detection sensitivity and accuracy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If a threshold is provided to prevent erroneous tone generation due to noise, then noise detection accuracy is improved, but weak strike detection capability deteriorates
Solution Approach 1:
The patent segments the waveform analysis into multiple components: peak level detection, zero-crossing frequency counting, and waveform shape analysis. By dividing the detection task into these segments, the system can evaluate weak strikes more accurately without being overwhelmed by noise, resolving the contradiction between noise rejection and weak strike detection.
Solution Approach 2:
The patent changes the detection parameters from a single threshold-based approach to multiple parameters including peak level, zero-crossing frequency, and waveform shape characteristics. This multi-parameter approach allows the system to distinguish weak strikes from noise by analyzing their different temporal and spectral characteristics, thereby improving both noise detection accuracy and weak strike detection capability.
2Device complexity
If a single threshold is used for strike detection, then device complexity is reduced, but detection accuracy deteriorates
Solution Approach 1:
The patent implements dynamic thresholding where the detection thresholds are not fixed but adapt based on the analyzed waveform characteristics. The zero-crossing frequency and waveform shape analysis dynamically adjust the detection criteria, allowing the system to maintain high detection accuracy across varying strike strengths while keeping the overall device complexity manageable through algorithmic adaptability.
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
Enhances the accuracy of strike detection on a striking surface by preventing weak strikes from being misinterpreted as noise, ensuring complete and accurate tone generation.
Implementation Method 1
A typical electronic percussion instrument is provided with a sensor that detects the vibration of a striking surface caused by striking the striking surface.
Data Source
AI summary
Based on a peak level of a waveform in a predetermined period after the input of the waveform started and a value indicative of the degree of change in the waveform in the predetermined period, a judging device determines whether the waveform is caused by a strike. Thus, the peak level and a value indicative of the degree of change in the waveform are considered to determine whether the waveform is caused by a strike. A waveform with a small peak level caused by a weak strike is not erroneously detected as noise, while accurate detection of strikes can be obtained.