Abstract: An adaptive meta-attack system for target trackers under autonomous driving scenarios including an initialization module, a meta-training iteration module, a meta-testing module, a perturbation generator, and an inference module. The initialization module includes a model initialization sub-module and a parameter initialization sub-module. The meta-training iteration module includes a video input sub-module, a training-validation model division sub-module, and a meta-training sub-module. The meta-testing module includes a performance validation and evaluation sub-module and a parameter output sub-module. An adaptive meta-attack method for a target tracker under autonomous driving scenarios applied in the adaptive meta-attack system is further provided.

Abstract: An attention-guided adversarial patch generation method for visual tracking security detection introduces attention-aware strategies and attention loss functions, and the adversarial patch generation is implemented through a TrackSpear model. The TrackSpear model includes two main modules: a sensitivity detection module and a patch attack module. The sensitivity detection module detects sensitive locations in target regions within video frames via an attention mechanism, thereby accurately locating key attack regions. The patch attack module generates and embeds adversarial patches, disrupting tracking performance of a target tracker by optimizing perturbations.

Abstract: An electronic device may learn a specific somatosensory action completed by a user, and also record a specific remote control key selected by the user, and then the electronic device may associate the action with the key. When recognizing that the user completes the action, the electronic device may simulate a control signal generated by the key, to control a game operation. Accordingly, the user can simply and quickly transform a conventional game into a somatosensory game. In this process, a game manufacturer does not need to perform additional customization work, and the user does not need to use an additional somatosensory device.

Abstract: A dynamic trusted edge gateway for industrial terminals based on classification and hierarchical management includes a information collection module, a local cache module, an identity collaboration module, a multi-point deployment support module, a security event log collaboration module, a trust evaluation result receiving module and a security policy execution module. The information collection module is configured to establish a connection with industrial terminals and collect a multi-dimension information of the industrial terminals and transmit the multi-dimension information to the local cache module and the trust evaluation result receiving module.

Abstract: Embodiments of this application provide a spinal health risk assessment method. In this method, an electronic device may display an image captured by a camera, and then output guide information based on the image captured by the camera, where the guide information is used to prompt a user to adjust to a first state. After the image captured by the camera represents that the user is in the first state, the electronic device starts to shoot a photo or record a video, and determines and outputs an assessment result based on the photo or the video. In this way, the user can quickly and efficiently adjust a position and a posture, and a spinal health risk of the user is assessed by analyzing a shot photo or a recorded video.

Abstract: A dynamic trusted edge gateway for industrial terminals based on classification and hierarchical management includes a information collection module, a local cache module, an identity collaboration module, a multi-point deployment support module, a security event log collaboration module, a trust evaluation result receiving module and a security policy execution module. The information collection module is configured to establish a connection with industrial terminals and collect a multi-dimension information of the industrial terminals and transmit the multi-dimension information to the local cache module and the trust evaluation result receiving module.

Abstract: This application provides a guide box display method and an electronic device. The method includes: displaying a first interface, where the first interface includes a first guide box and a first portrait in a captured first image, the first guide box is used to guide a user to strike a first pose, and the first guide box is determined based on a user body parameter corresponding to the first portrait; capturing a second image of the user, where the second image includes a second portrait of the user; and displaying the second portrait and a second guide box on the first interface, where the second guide box is a guide box obtained by adjusting the first guide box, and the second guide box is determined based on a user body parameter corresponding to the second portrait.

Abstract: 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.

Abstract: Embodiments herein describe a circuit including a passive intermodulation (PIM) model circuit configured to process first data to generate a PIM interference model output to be concatenated with second data, the second data including a first carrier frequency and a second carrier frequency, and the circuit further including a PIM model adapt circuit configured to receive frequency shifted captured data and frequency shifted PIM models to generate updated values to compensate for PIM interference after the PIM interference model output is concatenated with the second data.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: An adaptive meta-attack system for target trackers under autonomous driving scenarios including an initialization module, a meta-training iteration module, a meta-testing module, a perturbation generator, and an inference module. The initialization module includes a model initialization sub-module and a parameter initialization sub-module. The meta-training iteration module includes a video input sub-module, a training-validation model division sub-module, and a meta-training sub-module. The meta-testing module includes a performance validation and evaluation sub-module and a parameter output sub-module. An adaptive meta-attack method for a target tracker under autonomous driving scenarios applied in the adaptive meta-attack system is further provided.

Abstract: 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.

Abstract: A method includes, after receiving a first instruction, determining whether a wearable device has loaded map data of a first sport field, where the first instruction indicates that a user is playing a target sport, and the first sport field is a sport field in which the user plays the target sport; after it is determined that the wearable device has loaded the map data of the first sport field, obtaining motion data representing an action feature of the user in a case in which the user plays the target sport and positioning data representing an action location of the user in a case in which the user plays the target sport and a location of the wearable device; and displaying, based on the motion data, the positioning data, and the map data of the first sport field, statistical data about playing the target sport by the user.

Abstract: Embodiments herein describe a PIM correction circuit. In a base station, TX and RX RF changes, band pass filters, duplexers, and diplexers can have severe memory effects due to their sharp transition bandwidth from pass band to stop band. PIM interference, generated by the TX signals and reflected onto the RX RF chain will include these memory effects. These memory effects make PIM cancellation complex, requiring complicated computations and circuits. However, the embodiments herein use a PIM correction circuit that separates the memory effects of the TX and RX paths from the memory effects of PIM, thereby reducing PIM cancellation complexity and hardware implementation cost.

Abstract: Embodiments herein describe a PIM correction circuit. In a base station, TX and RX RF changes, band pass filters, duplexers, and diplexers can have severe memory effects due to their sharp transition bandwidth from pass band to stop band. PIM interference, generated by the TX signals and reflected onto the RX RF chain will include these memory effects. These memory effects make PIM cancellation complex, requiring complicated computations and circuits. However, the embodiments herein use a PIM correction circuit that separates the memory effects of the TX and RX paths from the memory effects of PIM, thereby reducing PIM cancellation complexity and hardware implementation cost.

Abstract: A digital predistortion (DPD) system includes an input configured to receive an input signal. In some examples, a first signal path configured to generate a first signal based on the input signal. In some examples, an error model provider configured to generate an error model signal modeled after a gate bias error voltage associated with the DPD system. In some examples, a first combiner configured to combine the first signal and the error model signal to generate a first intermediate signal, and the DPD system generates an output signal based at least on the first intermediate signal.

Abstract: 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.

Abstract: An electronic device may learn a specific somatosensory action completed by a user, and also record a specific remote control key selected by the user, and then the electronic device may associate the action with the key. When recognizing that the user completes the action, the electronic device may simulate a control signal generated by the key, to control a game operation. Accordingly, the user can simply and quickly transform a conventional game into a somatosensory game. In this process, a game manufacturer does not need to perform additional customization work, and the user does not need to use an additional somatosensory device.