Huawei Technologies Co., Limited

Honor Device Co., Ltd.

Xiaohan Chen

Yu Wang

Chen Dong

Yixin Chen

Fan Yang

Teng Xu

Yue Li

Huangwei Wu

Liang Zhang

Jiejing Huang

Lei Huang

Guoliang Li

Chenxi Lu

Bin Yang

Qing Chen

Jie Zhao

Yonghang Jiang

This application relates to the field of electronic technologies, and provides an action recognition method and apparatus, a terminal device, and a motion monitoring system. Characteristic extraction and action recognition are performed based on motion data collected by data collection apparatuses; a gait characteristic, a swing gesture characteristic, and an image action characteristic of a user are recognized by using a plurality of pieces of motion data; and a type of a hitting action of a player is determined based on the gait characteristic, the swing gesture characteristic, and the image action characteristic. In this way, the hitting action of the player in a motion process can be accurately recognized. This is conducive to performing comprehensive analysis on a comprehensive sports capability of the player, and is more helpful to formulating a personalized training plan for the player.

Action recognition method and apparatus, terminal device, and motion monitoring system

A cycling detection method, an electronic device, and a computer-readable storage medium are provided. The cycling detection method includes: obtaining an acceleration signal and an angular velocity signal collected by a wearable device of a user's foot, and analyzing a time-domain feature of the acceleration signal, a frequency-domain feature of the acceleration signal, a time-domain feature of the angular velocity signal, and/or a frequency-domain feature of the angular velocity signal; filtering the acceleration signal and the angular velocity signal to obtain a target acceleration signal and a target angular velocity signal of the user's cycling if it is determined, based on an analysis result, that a current status of the user is a cycling state; and determining a behavior feature of the user's cycling based on the target acceleration signal and the target angular velocity signal, where the behavior feature includes a cadence feature and a foot posture feature.

Cycling detection method, electronic device and computer-readable storage medium

The motion data monitoring method includes: collecting, by an electronic device, an angular velocity signal and an acceleration signal of a user; obtaining, by the electronic device, a waveform feature of the angular velocity signal based on the angular velocity signal, and obtaining a waveform feature of the acceleration signal based on the acceleration signal; determining, by the electronic device, a gait feature of the user according to the waveform feature of the angular velocity signal and the waveform feature of the acceleration signal, where the gait feature includes a duration of flight from off-ground of a foot of the user to touching of the ground; and determining, by the electronic device, motion data according to the gait feature, where the motion data includes a jump height.

Motion data monitoring method and apparatus

Embodiments of this application provide a target user locking method and an electronic device, and relate to the field of electronic devices. The method provided in this application may be applied to an artificial intelligence (artificial intelligence, AI) fitness scenario, and can ensure accuracy of locking a target user. The electronic device may recognize the target user and track the target user in a fitness process by using a method such as recognizing a user feature, recognizing the user with reference to data collected by a wearable device worn by the user, or recognizing a motion mode of the user.

Target user locking method and electronic device

A method and an apparatus for setting a sports mode are provided. Two metal endpoints on an outer surface of an intelligent device are respectively used as an output end and a receive end of signals. A signal sent by the output end is compared with a signal received by the receive end to determine whether the intelligent device currently meets a preset condition. First sports characteristic data detected by a sports sensing apparatus is obtained to determine whether the first sports characteristic data matches preset sports characteristic data corresponding to a swimming mode. When two determining results are both 'yes', it can be determined that the intelligent device meets a setting condition of the swimming mode.

Method and apparatus for setting sports mode

A fall detection-based help-seeking method and an electronic device, to improve accuracy of fall detection performed by an electronic device and reduce a probability of mistakenly triggering automatic help-seeking of the electronic device. A solution includes: the electronic device includes a motion sensor and the motion sensor includes an acceleration sensor or a gyro sensor. The electronic device collects a first motion parameter of a user by using the motion sensor. The electronic device obtains a fall confidence of the first motion parameter if the first motion parameter matches a first preset fall parameter, where the fall confidence of the first motion parameter is used to represent a probability that the first motion parameter is a motion parameter collected when the user falls. The electronic device sends help-seeking information if the fall confidence of the first motion parameter is greater than a preset confidence threshold.

Fall detection-based help-seeking method and electronic device

A method includes: collecting an original signal in a specified time interval, and performing combined acceleration processing on the original signal to obtain a combined acceleration signal; performing state processing on the combined acceleration signal to obtain a motion time interval, and extracting a plurality of feature groups from the combined acceleration signal according to a preset motion rule; and performing screening on the plurality of feature groups to obtain a first feature group, extracting a median value from the first feature group, and obtaining a stride frequency in the specified time interval based on the median value and a collection frequency, and obtaining a quantity of steps through calculation based on the motion time interval and the stride frequency.

Method and apparatus for counting foot step based on stride frequency, and device

A method includes collecting an original signal in a specified time interval, performing combined acceleration processing on the original signal to obtain a combined acceleration signal, combining n data points of the combined acceleration signal into one data segment, extracting a feature point of the data segment, transforming feature points of all data segments into a feature point signal, analyzing the feature point signal to obtain a stable stage and a fluctuation stage of the feature point signal, performing interference period elimination on the feature point signal with the stable stage and the fluctuation stage according to a specified motion rule to obtain a second feature point signal, and counting a quantity of wave crests of the second feature point signal, where the quantity of wave crests is a quantity of steps.

Method and apparatus for counting foot step based on acceleration information, and device

A method includes calculating, based on a first coordinate transformation matrix and a measured value of a gyroscope that corresponds to the ith sampling moment, a second coordinate transformation matrix corresponding to the ith sampling moment, where the first coordinate transformation matrix is a constant matrix, the first coordinate transformation matrix is a coordinate transformation matrix between a sensor coordinate system and a foot coordinate system, the second coordinate transformation matrix is a coordinate transformation matrix between the foot coordinate system and a ground coordinate system, and i is an integer greater than 0, and calculating, based on the first coordinate transformation matrix and the second coordinate transformation matrix corresponding to the ith sampling moment, an attitude matrix corresponding to the ith sampling moment, where the attitude matrix is a coordinate transformation matrix between the sensor coordinate system and the ground coordinate system.

Attitude matrix calculation method and device

A method for calculating a tread frequency of a bicycle includes obtaining a first state of an acceleration signal in a first time window, determining a feature point set from the acceleration signal when the first state includes a riding state, where time distribution of a feature point in the feature point set meets a preset periodic distribution condition, and amplitude meets a physical rule, determining that the first state is the riding state when a feature point subset in the feature point set meets a preset reasonableness condition, and calculating, based on the feature point subset, a quantity of circles and a tread frequency that are in the first time window.

Method for calculating tread frequency of bicycle, wearable device, and storage medium

This application relates to the field of terminals, and discloses a message processing method, message viewing method, and terminal, configured to implement quick message processing and viewing without affecting a current operation. The message processing method is applied to a terminal including a display screen, and the method includes: displaying, by the terminal, an application interface on the display screen; receiving, by the terminal, a message; displaying, by the terminal, a prompt of the message on the application interface; receiving, by the terminal, an input of a user; and continuing displaying, by the terminal, the application interface, responding to the input, terminating displaying the prompt, and processing the message. Embodiments of this application are applied for processing the message.

Message processing method, message viewing method, and terminal

A positioning method applied to a mobile device having a sensor system and a positioning system includes determining that the mobile device is in a preset state; determining a speed reference value of the mobile device based on data detected by the sensor system; determining a position reference value of the mobile device based on preset map data and an estimated positioning value that is output by the positioning system; and correcting, based on the speed reference value and the position reference value, an estimated speed value and the estimated positioning value that are output by the positioning system.

Vehicle positioning correction method and mobile device

This application provides a prompt method, applied to a portable device adsorbed on a magnetic holder. The method includes: a display of the portable device being off; and detecting, by the portable device, that a parameter related to a magnetic induction intensity deviates from a preset threshold range, lightening the display of the portable device when, before, or after outputting a voice prompt, and displaying, on the display, prompt information about moving the portable device. By using this method, a user can learn, in time, that the adsorption of the portable device on the magnetic holder is unstable, and move the portable device based on the prompt information, so that the portable device can be stably adsorbed on the magnetic holder, thereby effectively preventing the portable device from sliding down from the magnetic holder.

Prompt method and portable device

A positioning method and a mobile device, where the method is applied to the mobile device and includes periodically detecting a status of the mobile device, where the status of the mobile device includes a driving state and a walking state, positioning the mobile device using a first positioning algorithm when detecting that a quantity of times that the driving state consecutively occurs reaches M, where the M is an integer greater than one, and positioning the mobile device using a second positioning algorithm when detecting that a quantity of times that the walking state consecutively occurs reaches N, where the N is an integer greater than one. Hence, the status of the mobile device can be more accurately determined by implementing this technical solution to position the mobile device using a positioning algorithm matching an actual status of the mobile device, thereby improving accuracy of a positioning result.

Positioning method and mobile device

A preset application or an application determined by an electronic device based on a preset rule is automatically started when it is detected that an electronic device is attached onto a vehicle magnetic suction bracket. Therefore, the electronic device can automatically respond to an operation of attaching the electronic device onto the vehicle magnetic suction bracket by a user.

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Shenzhen, China

Xiaohan Chen