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 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 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 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.

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 many-to-many state identification system of equipment names broadcasted from Internet-of-Things comprises IoT nodes and IoT mobile devices connecting the IoT nodes wirelessly. Each IoT node receives the sensed value of transducer on a machine element, determining whether the sensed value of transducer is abnormal. Next, the IoT node broadcasts an equipment identification name containing an existing gateway identification code and a state code of transducer showing whether the transducer is abnormal. When the IoT mobile device scans the equipment identification name broadcasted from the IoT node, a visual interface displays the state of IoT node by identifying the gateway identification code and the state code. Accordingly, before connecting the IoT mobile device to the IoT node, the state of transducer in the IoT node is acquired, allowing any IoT mobile device to monitor any transducer in a synchronous and many-to-many manner within the broadcasting area.