Method for Determining Foldable Screen Included Angle and Associated Devices of Method

    公开(公告)号:US20240125596A1

    公开(公告)日:2024-04-18

    申请号:US18004101

    申请日:2022-08-31

    CPC classification number: G01B21/22 H04M1/0214 H04M1/0268

    Abstract: This application provides a method for determining a foldable screen included angle and associated devices of the method, and relates to the field of terminal technologies. The method includes: for each display screen, acquiring, by an acceleration sensor, an initial acceleration signal at time t, and acquiring, by a gyroscope sensor, an initial angular velocity signal at time t; for each display screen, performing first preprocessing on the initial acceleration signal at time t to determine a target value of a gravitational acceleration signal at time t, and performing second preprocessing on the initial angular velocity signal at time t to determine an intermediate angular velocity signal at time t; detecting a state of the foldable screen according to the gravitational acceleration signals corresponding to the two display screens at time t and the intermediate angular velocity signals at time t to determine the state of the foldable screen at time t; and determining the included angle corresponding to the foldable screen at time t according to the state of the foldable screen at time t.

    Vital Sign Detection Method and Electronic Device

    公开(公告)号:US20240245314A1

    公开(公告)日:2024-07-25

    申请号:US18007109

    申请日:2022-09-08

    Abstract: This application discloses a vital sign detection method and an electronic device. The method includes: obtaining an acceleration signal and PPG signals of a plurality of channels within a preset time period; calculating, in a case that there is at least one correlation coefficient in the correlation coefficient matrix less than or equal to a first threshold, a variance of the PPG signals of each channel in the plurality of channels; performing frequency domain fusion after performing a FFT on the PPG signals of the plurality of channels, to obtain a frequency domain signal of the fused PPG signal; performing the FFT on the acceleration signal to obtain a frequency domain signal of the acceleration signal; inputting the frequency domain signal of the fused PPG signal and the frequency domain signal of the acceleration signal into a deep neural network to obtain a value of a vital sign.

    Fingerprint recognition method and electronic device

    公开(公告)号:US12236710B2

    公开(公告)日:2025-02-25

    申请号:US18245283

    申请日:2022-09-13

    Abstract: This application relates to the field of fingerprint recognition, and discloses a fingerprint recognition method and an electronic device. An electronic device obtains a fingerprint image of a user by using a fingerprint recognition module in response to a fingerprint recognition operation of the user; and performs a quality evaluation on the obtained fingerprint image, and repairs and recognizes the fingerprint image based on a quality evaluation result.

    Riding Tool Identification Method and Device

    公开(公告)号:US20240348716A1

    公开(公告)日:2024-10-17

    申请号:US18037131

    申请日:2022-12-15

    CPC classification number: H04M1/72454 G10L15/22 G10L2015/223

    Abstract: This application provides a riding tool identification method and a device. The method includes: obtaining at least one of an acceleration signal acquired by an acceleration sensor and a magnetometer signal acquired by a magnetometer sensor in an electronic device; identifying a riding tool based on at least one of an acceleration feature and a magnetometer feature, to obtain a riding classification result, where the acceleration feature is obtained based on the acceleration signal, and the magnetometer feature is obtained based on the magnetometer signal; obtaining a voice signal acquired by a microphone in the electronic device, and extracting a voice feature based on the voice signal; recognizing a voice broadcast during ride based on the voice feature, to obtain a voice broadcast recognition result; and determining a category of the riding tool based on the riding classification result and the voice broadcast recognition result.

    Fingerprint Recognition Method and Electronic Device

    公开(公告)号:US20240005695A1

    公开(公告)日:2024-01-04

    申请号:US18029799

    申请日:2022-02-09

    Abstract: A fingerprint recognition method and an electronic device. The electronic device includes a touch screen and a fingerprint sensor. The electronic device displays a first interface and captures first fingerprint information that is input by a user at the first interface. The electronic device determines whether the touch screen is in a first state, and the first state is used to indicate that the touch screen is in a screen protector state. If the touch screen is in the first state, the electronic device restores the first fingerprint information by using a first preset artificial intelligence (AI) restoration model to obtain second fingerprint information. The electronic device determines that the second fingerprint information matches preset fingerprint information and displays a second interface. Quality of a fingerprint image in the second fingerprint information is higher than quality of a fingerprint image in the first fingerprint information.

    TERMINAL STATE IDENTIFICATION METHOD AND APPARATUS

    公开(公告)号:US20250055935A1

    公开(公告)日:2025-02-13

    申请号:US18709178

    申请日:2023-05-05

    Abstract: A terminal state identification method and apparatus are provided, and are applied to the field of terminal technologies. The method includes: determining a first probability value based on acceleration data; determining a second probability value based on the acceleration data; determining a state of a terminal user based on the first probability value and the second probability value, where the state of the terminal user includes a first state, a second state, and a third state, when determining that the terminal user is in the first state, where the first interface includes a first window, and the first window is used to display travel recommendation information for a current location to the user.

    FINGERPRINT RECOGNITION METHOD AND APPARATUS

    公开(公告)号:US20250037500A1

    公开(公告)日:2025-01-30

    申请号:US18838073

    申请日:2023-05-05

    Abstract: The method includes: obtaining features of L key points of a first fingerprint image; determining G pairs of key points based on the L key points of the first fingerprint image and L key points of a first fingerprint template; sorting the G pairs of key points based on the first distance parameter corresponding to each pair of key points, and determining N pairs of key points from the G pairs of key points that are sorted; determining a first rotation matrix using the N pairs of key points, and rotating the first fingerprint image based on the first rotation matrix to obtain a second fingerprint image, where the second fingerprint image is in a same direction as the first fingerprint template; and performing similarity matching using the second fingerprint image and the first fingerprint template.

    Fingerprint recognition method and electronic device

    公开(公告)号:US12175791B2

    公开(公告)日:2024-12-24

    申请号:US18029799

    申请日:2022-02-09

    Abstract: A fingerprint recognition method and an electronic device. The electronic device includes a touch screen and a fingerprint sensor. The electronic device displays a first interface and captures first fingerprint information that is input by a user at the first interface. The electronic device determines whether the touch screen is in a first state, and the first state is used to indicate that the touch screen is in a screen protector state. If the touch screen is in the first state, the electronic device restores the first fingerprint information by using a first preset artificial intelligence (AI) restoration model to obtain second fingerprint information. The electronic device determines that the second fingerprint information matches preset fingerprint information and displays a second interface. Quality of a fingerprint image in the second fingerprint information is higher than quality of a fingerprint image in the first fingerprint information.

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