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Fault data extraction of human-computer interaction interface for music electronic products based on improved second generation wavelet algorithm

Author

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  • Junfang Liang
  • Jiwu Li

Abstract

In order to solve the problems of low extraction accuracy and high time cost in human-computer interface fault data extraction, a method of human-computer interface fault data extraction for music electronic products based on improved second generation wavelet algorithm is proposed. The probability of data encounter in the human-computer interaction interface of adjacent music electronic products is calculated, and the interface data is collected with the help of probability distribution function, judging by the function interval of data points. The similar fault data points are processed by sliding window to complete fault data similarity fusion. The second generation wavelet algorithm is improved by discrete wavelet transform. The energy distribution of fault data in different frequency bands is extracted, and the fault data is extracted in different scale space and wavelet subspace. The results show that the highest accuracy of fault data extraction is about 95%.

Suggested Citation

  • Junfang Liang & Jiwu Li, 2023. "Fault data extraction of human-computer interaction interface for music electronic products based on improved second generation wavelet algorithm," International Journal of Product Development, Inderscience Enterprises Ltd, vol. 27(1/2), pages 54-64.
    • Handle: RePEc:ids:ijpdev:v:27:y:2023:i:1/2:p:54-64
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