US Patent Application 18314643. SYSTEM AND METHOD FOR DEEP AUDIO SPECTRAL PROCESSING FOR RESPIRATION RATE AND DEPTH ESTIMATION USING SMART EARBUDS simplified abstract

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SYSTEM AND METHOD FOR DEEP AUDIO SPECTRAL PROCESSING FOR RESPIRATION RATE AND DEPTH ESTIMATION USING SMART EARBUDS

Organization Name

SAMSUNG ELECTRONICS CO., LTD.==Inventor(s)==

[[Category:Mohsin Yusuf Ahmed of Sunnyvale CA (US)]]

[[Category:Tousif Ahmed of San Jose CA (US)]]

[[Category:Md Mahbubur Rahman of San Jose CA (US)]]

[[Category:Ebrahim Nematihosseinabadi of San Francisco CA (US)]]

[[Category:Nafiul Rashid of Irvine CA (US)]]

[[Category:Jilong Kuang of San Jose CA (US)]]

[[Category:Jun Gao of Menlo Park CA (US)]]

SYSTEM AND METHOD FOR DEEP AUDIO SPECTRAL PROCESSING FOR RESPIRATION RATE AND DEPTH ESTIMATION USING SMART EARBUDS - A simplified explanation of the abstract

This abstract first appeared for US patent application 18314643 titled 'SYSTEM AND METHOD FOR DEEP AUDIO SPECTRAL PROCESSING FOR RESPIRATION RATE AND DEPTH ESTIMATION USING SMART EARBUDS

Simplified Explanation

The patent application describes a method for analyzing a user's breathing using earbuds and a convolutional neural network.

  • The method involves capturing the user's breathing using earbuds and converting it into a breathing spectrogram image.
  • A trained convolutional neural network is then used to process the spectrogram and identify the user's breathing rate and depth.
  • The identified breathing rate and depth are then outputted to provide information about the user's breathing patterns.


Original Abstract Submitted

A method includes obtaining at least one breathing audio sample of a user captured using earbuds worn by the user. The method also includes converting the at least one breathing audio sample to a breathing spectrogram configured as an image. The method further includes processing the breathing spectrogram using a trained multi-task convolutional neural network (CNN) to identify a breathing rate and a breathing depth of the user. In addition, the method includes outputting the breathing rate and the breathing depth of the user.

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