Honor Device Co., Ltd.

Huawei Technologies Co., Limited

Beijing Honor Device Co., Ltd.

Danhong Li

Haoxuan Di

Xiaowu Zhang

Mingjin Guo

Junlong Guo

Li Zhang

Shuiping Long

Cheng Zhang

Xiaona Zhao

Teng Shi

Zheng Chen

Bing Chang

Ran An

Xiawu Zhang

Embodiments of this application provide a method for displaying a two-dimensional code and an electronic device. The method is performed by an electronic device, and includes: obtaining first sensor data, where the first sensor data is collected at a first moment; if it is determined, based on the first sensor data, that a first action of a user corresponding to the first moment is a preset action, determining whether the user performs a wrist turning action within a preset duration range starting from the first moment; and displaying a preset two-dimensional code page when the user performs a wrist turning action within the preset duration range. In the method, a process of presenting a two-dimensional code by the user can be simple and efficient.

Method for displaying two-dimensional code and electronic device

Disclosed are a method and an apparatus for preventing an accidental touch, applied to the field of terminal technologies. The method includes: obtaining a quaternion of a terminal; determining, based on the quaternion of the terminal, first information and attitude angle information of the terminal; detecting motion information of the terminal; detecting ambient light information of the terminal; determining, based on the first information, the attitude angle information, the motion information, and the ambient light information, that the terminal is in a first mode; and entering, by the terminal, a screen-off state to reduce power consumption. In addition, the terminal can be prevented from being awakened accidentally in always on display and lock screen-on states, thereby effectively preventing an accidental touch.

Method and apparatus for preventing accidental touch

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.

Vital sign detection method and electronic device

A fingerprint recognition method and apparatus are applied to the field of fingerprint recognition technologies. The method includes: collecting a to-be-enrolled fingerprint image; performing, based on a first calibration image, calibration processing on the to-be-enrolled fingerprint image to obtain a first fingerprint image; and determining whether an adaptive calibration image exists; and updating the first calibration image based on the first fingerprint image and a first update coefficient when the adaptive calibration image exists, to obtain a second calibration image; or generating a third calibration image based on the first fingerprint image when no adaptive calibration image exists. The third calibration image is an image obtained by performing summation and averaging on a plurality of frames of fingerprint images, or the third calibration image is an image obtained by updating the first calibration image based on the first fingerprint image.

Fingerprint recognition method and apparatus

Embodiments of this application provide a display method and an electronic device. This method can be applied to a terminal device such as a mobile phone or a tablet computer. After detecting an operation of successfully unlocking or returning to a main interface, the terminal device may determine an eyeball gaze position of a user through a camera module, and then determine whether the user is gazing at a notification bar. When recognizing an action of the user gazing at the notification bar, the terminal device may display a notification interface for displaying a notification message.

Display method and electronic device

A fingerprint recognition method and apparatus are provided. The method is applied to the field of fingerprint recognition technologies. The method includes: when a first fingerprint image is successfully matched, judging whether matching information of the first fingerprint image satisfies a first preset condition; when the matching information of the first fingerprint image satisfies the first preset condition, judging whether a cumulative update count of a second fingerprint template is greater than a first quantity threshold; when the cumulative update count of the second fingerprint template is greater than the first quantity threshold, judging whether priority information of the second fingerprint template satisfies a second preset condition; and when the priority information of the second fingerprint template satisfies the second preset condition, updating the second fingerprint template with the first fingerprint image. A high-quality fingerprint image is selected through a plurality of judgment conditions to update a fingerprint template library. Matching is performed based on an updated fingerprint template library. This can increase a fingerprint unlocking rate and an unlocking speed, so that user experience in unlocking is improved.

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.

This application provides a heart rate detection method and an electronic device. Through the solution, when it is detected that a user wearing a smart wearable device is making a first workout, a PPG signal is acquired through a PPG sensor in the smart wearable device; first heart rate data is obtained based on the PPG signal and a first deep sequence neural network model; second heart rate data is obtained based on the PPG signal and a first frequency tracking algorithm model; and the first heart rate data and the second heart rate data are fused to obtain a target heart rate of the user. Because a frequency tracking algorithm can quickly track a heart rate change, thus the solution can compensate for a scenario in which a deep sequence neural network cannot implement timely tracking in the case of a sudden change of heart rate.

Heart rate detection method and electronic device

This application provides a method for determining a foldable screen included angle and associated devices of the method. The method includes: 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; 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 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.

Method for determining foldable screen included angle and associated devices of method

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.

Fingerprint recognition method and electronic device

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.

An electronic device detects a first operation of a user; the electronic device obtains a fingerprint image and a touch signal in response to the first operation; and the electronic device determines, based on the fingerprint image and the touch signal, that the fingerprint image is a fingerprint image of a real finger or a fingerprint image of a fake finger.

Fingerprint anti-counterfeiting method and electronic device

A method for unlocking a screen by using a fingerprint includes: sending, by a fingerprint sensor, a first notification to a control chip and concurrently sending a second notification to a display driver chip of a screen when detecting that a finger presses or touches a fingerprint recognition area; completing, by the display driver chip according to the second notification, preparation work before the screen is turned on; verifying, by the control chip according to the first notification, fingerprint information collected by the fingerprint sensor and pre-stored fingerprint information; and if the verification succeeds, unlocking the screen and turning on the screen.

Method for unlocking screen by using fingerprint and terminal

A fingerprint collection method includes: acquiring, by a fingerprint collector, a fingerprint image of a user; if an average value of the fingerprint image is not in a preset average value range, automatically adjusting a gain of the fingerprint collector, to make an average value of a reacquired fingerprint image approximate the preset average value range; if the average value of the fingerprint image is in the preset average value range, but a variance of the fingerprint image is less than a preset variance threshold, automatically increasing sensitivity of the fingerprint collector, to make a variance of the fingerprint collector accordingly increase; and outputting only a fingerprint image whose average value is in the preset average value range and whose variance is greater than the preset variance threshold.

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Shenzhen, China

Danhong Li