A method includes capturing, using an Internet of Things (IoT) device, real-time video of a user performing an exercise associated with a first exercise class. Real-time video of the user is displayed, via a display, concurrently with video of an instructor, to provide a visual comparison of the user to the instructor. Image analysis of the real-time video of the user is performed to determine a performance of the user, and a representation thereof is displayed. Biometric data associated with the user is received at the IoT device from a wearable device at multiple points in time. Heart rates are identified based on the biometric data, and scores based on the heart rates are displayed via the display. A recommendation for a second exercise class different from the first exercise class is determined based on a profile of the user, and displayed via the display.

Methods, devices and systems are disclosed for inter-app communications between software applications on a mobile communications device. In one aspect, a computer-readable medium on a mobile computing device comprising an inter-application communication data structure to facilitate transitioning and distributing data between software applications in a shared app group for an operating system of the mobile computing device includes a scheme field of the data structure providing a scheme id associated with a target software app to transition to from a source software app, wherein the scheme id is listed on a scheme list stored with the source software app; and a payload field of the data structure providing data and/or an identification where to access data in a shared file system accessible to the software applications in the shared app group, wherein the payload field is encrypted.

A method for an electronic device includes detecting, by one or more processors, a first user operating a first application on the electronic device presenting content on a companion electronic device operating as a primary display for the electronic device while the electronic device is electronically in communication with a smartwatch. The method then redirects one or more first application controls to a user interface of the smartwatch when a second user is physically manipulating the electronic device and operating a second application presenting content on a local display of the electronic device while both the first application and the second application are operating on the electronic device.

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.

An information terminal includes: a processor: in response to information of a first category being acquired, stores the first category as display target information; in response to information of a category to which second notification information being acquired at a timing after the information of the first category is acquired, and if the category is the first category, stores the first category as the display target information; and in response to information of the category being acquired, and if the category is a second category different from the first category, stores the second category as the display target information.

A screen mirroring display method includes a destination device receiving a first message from a first source device and a second message from a second source device, where the first message includes a first drawing instruction. The first drawing instruction instructs the destination device to draw a first target control in a first interface displayed by the first source device. The second message includes a second drawing instruction. The second drawing instruction instructs the destination device to draw a second target control in a second interface displayed by the second source device. Then the destination device draws a screen mirroring interface according to the first drawing instruction and the second drawing instruction, where the screen mirroring interface includes the first target control and the second target control.

An electronic device is provided. The electronic device includes at least one sensor and at least one processor configured to identify a gesture identification request from a first application being executed by the at least one processor, in response to the identification of the gesture identification request, identify a gesture using at least one sensing data from at least one first sensor module activated, among the at least one sensor, based on a gesture application, provide the identified gesture to the first application, and perform at least one operation corresponding to the identified gesture based on the first application. Other various embodiments are possible as well.

A method includes capturing, using an Internet of Things (IoT) device, real-time video of a user performing an exercise associated with a first exercise class. Real-time video of the user is displayed, via a display, concurrently with video of an instructor, to provide a visual comparison of the user to the instructor. Image analysis of the real-time video of the user is performed to determine a performance of the user, and a representation thereof is displayed. Biometric data associated with the user is received at the IoT device from a wearable device at multiple points in time. Heart rates are identified based on the biometric data, and scores based on the heart rates are displayed via the display. A recommendation for a second exercise class different from the first exercise class is determined based on a profile of the user, and displayed via the display.

A method for generating notification is provided. The method includes following steps. A mobile device is paired with a wearable device. The mobile device has a first motion sensor, and the wearable device has a second motion sensor. Notification synchronization is performed between the mobile device and the wearable device. When an event is triggered and a corresponding notification should be generated, the mobile device generates the corresponding notification if the first motion sensor senses a motion is latter than the second motion sensor senses a motion. When an event is triggered and a corresponding notification should be generated, the wearable device generates the corresponding notification if the second motion sensor senses a motion is latter than the first motion sensor senses a motion.

Methods, devices and systems are disclosed for inter-app communications between software applications on a mobile communications device. In one aspect, a computer-readable medium on a mobile computing device comprising an inter-application communication data structure to facilitate transitioning and distributing data between software applications in a shared app group for an operating system of the mobile computing device includes a scheme field of the data structure providing a scheme id associated with a target software app to transition to from a source software app, wherein the scheme id is listed on a scheme list stored with the source software app; and a payload field of the data structure providing data and/or an identification where to access data in a shared file system accessible to the software applications in the shared app group, wherein the payload field is encrypted.