Abstract: This application provides a deep learning-based heart rate detection method and a wearable device, and relates to the field of communications technologies. According to this solution, a deep Attention network is trained by using PPG and ACC sensor signals as inputs and using heart rate information and exercise scenario information as model outputs, and heart rate detection is performed by using a model obtained through training. Because motion artifact noise is distributed differently in different scenarios, a nonlinear relationship between a scenario, noise, and a heart rate may be fitted by using a deep Attention network learning mechanism, so that data denoising processing and feature extraction can be adaptively implemented in different scenarios, to achieve effects of signal denoising, signal fusion, and complex scenario identification in a plurality of complex scenarios, thereby canceling interference of motion artifact noise to a PPG signal, and improving precision of heart rate detection.

Abstract: 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.

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.

Abstract: A self-powered in-pipe fluid meter to be mounted inside of a pipe carrying a fluid therein. The fluid meter comprises at least one sensing unit capable of measuring one or more parameters of the fluid inside of the pipe; a telemetric data transmission unit capable of telemetrically transmitting data including a measured fluid parameter to a host terminal and/or another fluid meter; and at least one fluid-driven power source unit capable of generating power from the fluid flow within the pipe and supplying power to the sensing unit and/or the transmission unit.

Abstract: A self-powered in-pipe fluid meter to be mounted inside of a pipe carrying a fluid therein. The fluid meter comprises at least one sensing unit capable of measuring one or more parameters of the fluid inside of the pipe; a telemetric data transmission unit capable of telemetrically transmitting data including a measured fluid parameter to a host terminal and/or another fluid meter; and at least one fluid-driven power source unit capable of generating power from the fluid flow within the pipe and supplying power to the sensing unit and/or the transmission unit.