A smart mirror can show live or recorded streaming video of an instructor performing a workout in a package that is attractive and unobtrusive enough to hang in a living room. The smart mirror includes a mirror surface with a fully reflecting section and a partially reflecting section. A display behind the partially reflecting section shows the video when the smart mirror is on and is almost invisible when the smart mirror is off. The smart mirror also has a speaker, a microphone, and a camera to enable a user to view the video content and interact with the instructor. The smart mirror may connect to the user's smart phone, a peripheral device (e.g., a Bluetooth speaker) to augment user experience, a biometric sensor to provide biometric data to assess user performance, and/or a network router to connect the smart mirror to a content provider, an instructor, and/or other users.

The present disclosure generally relates to user interfaces and more specifically to techniques for displaying user interfaces associated with physical activities. Exemplary user interfaces related to activity competitions are described. Exemplary user interfaces related to a friends list for activity sharing are described. Exemplary user interfaces associated with alerts presented to a user in response to automatically determining a boundary of a workout are described. Exemplary user interfaces associated with configuring a pace alert for a workout application are described.

A smart mirror can show live or recorded streaming video of an instructor performing a workout in a package that is attractive and unobtrusive enough to hang in a living room. The smart mirror includes a mirror surface with a fully reflecting section and a partially reflecting section. A display behind the partially reflecting section shows the video when the smart mirror is on and is almost invisible when the smart mirror is off. The smart mirror also has a speaker, a microphone, and a camera to enable a user to view the video content and interact with the instructor. The smart mirror may connect to the user's smart phone, a peripheral device (e.g., a Bluetooth speaker) to augment user experience, a biometric sensor to provide biometric data to assess user performance, and/or a network router to connect the smart mirror to a content provider, an instructor, and/or other users.

A method includes capturing real-time video of a user participating in a first exercise class, using an Internet of Things (IoT) device. The real-time video is displayed concurrently with video of an instructor via a display in communication with the IoT device, to provide a visual comparison of the user to the instructor. The method also includes analyzing the real-time video to determine a performance of the user, and causing display of a warning, via the display, in response to determining the performance of the user. Biometric data associated with the user is received at the IoT device from a wearable device, at multiple times. Heart rates of the user are identified based on the biometric data, and scores based on the heart rates are identified and displayed. A recommendation for a second exercise class is determined based on a profile of the user and displayed via the display.

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 includes capturing real-time video of a user participating in a first exercise class, using an Internet of Things (IoT) device. The real-time video is displayed concurrently with video of an instructor via a display in communication with the IoT device, to provide a visual comparison of the user to the instructor. The method also includes analyzing the real-time video to determine a performance of the user, and causing display of a warning, via the display, in response to determining the performance of the user. Biometric data associated with the user is received at the IoT device from a wearable device, at multiple times. Heart rates of the user are identified based on the biometric data, and scores based on the heart rates are identified and displayed. A recommendation for a second exercise class is determined based on a profile of the user and displayed via the display.

Multiple electronic devices may be used together in a system. The electronic devices may use sensor measurements and other information to detect when an edge of a first electronic device is adjacent to an edge of a second electronic device. In response to detection of adjacency between the edges of the first and second devices, the devices may transition from an independent operating mode in which each device operates separately to a joint operating mode in which resources of the devices are shared. In the joint operating mode, images may extend across displays in the devices, speakers in the devices may be used to play different channels of an audio track, cameras and other sensors may be used in cooperation with each other, and other resources may be shared. Magnetic components may hold devices together in a variety of orientations.

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.

A smart mirror can show live or recorded streaming video of an instructor performing a workout in a package that is attractive and unobtrusive enough to hang in a living room. The smart mirror includes a mirror surface with a fully reflecting section and a partially reflecting section. A display behind the partially reflecting section shows the video when the smart mirror is on and is almost invisible when the smart mirror is off. The smart mirror also has a speaker, a microphone, and a camera to enable a user to view the video content and interact with the instructor. The smart mirror may connect to the user's smart phone, a peripheral device (e.g., a Bluetooth speaker) to augment user experience, a biometric sensor to provide biometric data to assess user performance, and/or a network router to connect the smart mirror to a content provider, an instructor, and/or other users.

Verification of biosensor data by determining a tamper event. The tamper event can be detected as any event which attempts to spoof the system by obtaining incorrect or improper readings. One verification obtains a known image of the user and compares that with an image of the user which is taken at a time that the biosensor is placed in contact with the user skin. A similarity score between the known image and the taken image can be obtained, and a tamper alert generated when the similarity score is not sufficiently high to indicate a match.