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公开(公告)号：US20220269958A1
公开(公告)日：2022-08-25
申请号：US17245951
申请日：2021-04-30
Applicant: SAMSUNG ELECTRONICS CO., LTD.
Inventor： Mohsin Yusuf Ahmed , Li Zhu , Korosh Vatanparvar , Md Mahbubur Rahman , Tousif Ahmed , Jilong Kuang , Jun Gao
Abstract: Device-invariant, frequency-domain signal processing with machine learning includes retrieving with a host device a device-specific alien dataset corresponding to an alien device. The device-specific alien dataset is retrieved from a remote data storage device communicatively coupled with the host device. A plurality of frequency-domain features are extracted from the device-specific alien dataset and a machine learning model is trained using the plurality of frequency-domain features. The host device extracts frequency-domain features from signals generated by sensors operatively coupled with the host device. Real-time frequency bin adaptation of the frequency-domain features extracted by the host device is performed. Based on the frequency-domain features extracted by the host device, as adapted, an inference is performed using the machine learning model.
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2.发明公开公开(公告)号：US20230380793A1
公开(公告)日：2023-11-30
申请号：US18314643
申请日：2023-05-09
Applicant: Samsung Electronics Co., Ltd.
Inventor： Mohsin Yusuf Ahmed , Tousif Ahmed , Md Mahbubur Rahman , Ebrahim Nematihosseinabadi , Nafiul Rashid , Jilong Kuang , Jun Gao
CPC classification number: A61B7/003 , A61B5/6817 , A61B5/7267 , A61B5/0816
Abstract: 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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